{"id":1143918,"date":"2025-07-06T20:14:03","date_gmt":"2025-07-07T03:14:03","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=1143918"},"modified":"2025-08-21T19:15:00","modified_gmt":"2025-08-22T02:15:00","slug":"2025-msra-startrack-seminars-july-edition","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/2025-msra-startrack-seminars-july-edition\/","title":{"rendered":"2025 MSRA StarTrack Seminar"},"content":{"rendered":"\n\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>The MSRA StarTrack Seminar Series is designed to promote academic exchange and collaboration between StarTrack Scholars and Microsoft Research Asia (MSRA), encouraging interdisciplinary dialogue and fostering long-term partnerships across research domains.<\/p>\n\n\n\n<p>2025 MSRA StarTrack Seminar will be held offline on July 15 at MSRA Beijing, featuring three major segments that highlight this year\u2019s key themes and areas of inquiry.<\/p>\n\n\n\n<p>The seminar will begin with the Invited Research Talks of MSRA, where distinguished MSRA researchers will present the latest breakthroughs and emerging trends in AI-related fields. This session serves as a window into the research culture and frontier directions pursued at MSRA.<\/p>\n\n\n\n<p>Following this, two curated sessions of the Idea Sparks Panel will provide an interactive platform for StarTrack Scholars and MSRA researchers to share ignite new ideas and cutting-edge work:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Idea Sparks Panel I \u2013 From Vision to Deployment: Scaling Multimodal Foundation Models for Real-World Impact<\/li>\n\n\n\n<li>Idea Sparks Panel II \u2013 Understanding Efficiency through the Lens of Intelligence<\/li>\n<\/ul>\n\n\n\n<p>This seminar is designed as an open platform for interdisciplinary dialogue between StarTrack Scholars and the broader MSRA research community. Through in-depth topic panels, focused discussions, and informal exchanges, we hope to spark fresh thinking, uncover shared interests, and seed future collaborations across research domains.<\/p>\n\n\n\n<p>Let us come together to spark ideas, advance frontiers, and shape the future \u2014 together.<\/p>\n\n\n\n<p>Committee: Beibei Shi (Chair), Chong Luo, Dongsheng li, Dongdong Zhang, Shujie Liu, Yang Fan, Yanxuan Wu (PM)<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large is-resized\"><a data-bi-bhvr=\"14\"  data-bi-cn=\"poster\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New.png\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"682\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-682x1024.png\" alt=\"poster\" class=\"wp-image-1144735\" style=\"width:300px\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-682x1024.png 682w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-200x300.png 200w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-768x1154.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-1022x1536.png 1022w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-1363x2048.png 1363w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-120x180.png 120w\" sizes=\"auto, (max-width: 682px) 100vw, 682px\" \/><\/a><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n<figure class=\"wp-block-table\">\n\t<table class=\"has-fixed-layout\">\n\t\t<thead>\n\t\t\t<tr>\n\t\t\t\t<th style=\"width:20%\">\n\t\t\t\t\t<strong>\n\t\t\t\t\t\tTime\n\t\t\t\t\t<\/strong>\n\t\t\t\t<\/th>\n\t\t\t\t<th style=\"width:40%\">\n\t\t\t\t\t<strong>\n\t\t\t\t\t\tSession\n\t\t\t\t\t<\/strong>\n\t\t\t\t<\/th>\n\t\t\t\t<th style=\"width:40%\">\n\t\t\t\t\t<strong>\n\t\t\t\t\t\tSpeaker\n\t\t\t\t\t<\/strong>\n\t\t\t\t<\/th>\n\t\t\t<\/tr>\n\t\t<\/thead>\n\t\t<tbody>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t13:30 \u2013 13:40\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tOpening and Welcome\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tBaining Guo, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t13:40 \u2013 14:10\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tInvited MSRA Research Talks (2&#215;15 mins)\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tJiaolong Yang, Microsoft Research Asia\n\t\t\t\t\t<br>\n\t\t\t\t\tLi Zhang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td rowspan=\"11\">\n\t\t\t\t\t14:10 &#8211; 15:40\n\t\t\t\t<\/td>\n\t\t\t\t<td rowspan=\"2\">\n\t\t\t\t\tIdea Sparks Panel I (From Vision to Deployment: Scaling Multimodal Foundation\n\t\t\t\t\tModels for Real-World Impact)\n\t\t\t\t<\/td>\n\t\t\t\t<td rowspan=\"2\">\n\t\t\t\t\tChong Luo, Microsoft Research Asia (Host)\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tThe Research Journey: From Multimedia to Multimodal, then Multi-what?\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tDi Hu, Renmin University of China\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Jianlong Fu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tTowards reasoning multimodal LLMs in low-resource scenarioes\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tGuanhua Chen, Southern University of Science and Technology\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Dongdong\u00a0 Zhang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tTowards Generalizable Human-Level Multimodal Generalist\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tHao Fei, National University of Singapore\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Lei Cui, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tWhen Do Multimodal Foundation Models Need 3D Capabilities\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tPengshuai Wang, Peking University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Jiaolong Yang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tToward Self-Supervised Large Feedforward Systems\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tTong Zhang, University of Chinese Academy of Sciences\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Baining Guo, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tFostering Digital Trust: Combating Untrustworthy Information with Multimodal\n\t\t\t\t\tAI\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tYupeng Li, Hong Kong Baptist University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Fangzhao Wu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tInformation foraging with multimodal LLMs: opportunities and challenges\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tZiang Xiao, Johns Hopkins University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Xiaoyuan Yi, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tBeyond Behavioral Alignment: Toward Neural-Level Alignment in Multimodal\n\t\t\t\t\tFoundation Models\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tZiyu Jia, Institute of Automation of Chinese Academy of Sciences\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Yansen Wang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tDiscussion\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tAll\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t15:40 &#8211; 16:00\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tGroup Photo and Tea Break\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tAll\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td rowspan=\"8\">\n\t\t\t\t\t16:00 &#8211; 17:30\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tIdea Sparks Panel II (Understanding efficiency through the lens of intelligence)\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tFan Yang, Microsoft Research Asia (Host)\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tObservations on the Evolving of LLM Intelligence and Efficiency\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tYuqing Yang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tBalancing Efficiency and Intelligence in Speech Enhancement: Insights\n\t\t\t\t\tfrom Recent Advances\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tChenda Li, Shanghai Jiao Tong University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher:Shujie Liu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tDesigning system Software for Wafer-Scale AI computing\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tLuo Mai, University of Edinburgh (Online)\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Fan Yang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tFlexible Sensing for Physical Perception: Gaining Efficiency in Embodied\n\t\t\t\t\tAI\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tMinhui Xie, Renmin University of China\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Ran Shu, Microsoft Research Asia\n\t\t\t\t\t<br>\n\t\t\t\t\tBaotong Lu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tTackling Data Redundancy in the Generative AI Era\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tYihao Chen, Tsinghua University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Zilong Wang, Microsoft Research Asia\n\t\t\t\t\t<br>\n\t\t\t\t\tLili Qiu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tRethinking the efficiency of generative models\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tZhenghao Chen, The University of Newcastle, Australia (Online)\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Bin Li, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tDiscussion\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tAll\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t17:30 &#8211; 17:40\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tClosing Remarks\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tLily Sun, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t18:00 \u2013 20:00\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tDinner + Question Box Interaction\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t<\/tbody>\n\t<\/table>\n<\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"684\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo-1024x684.jpg\" alt=\"a group of people posing for a photo\" class=\"wp-image-1148420\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo-1024x684.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo-300x200.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo-768x513.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo-240x160.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo.jpg 1429w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"360\" height=\"360\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/1998\/02\/asia-slt-baining-guo-1910.jpg\" alt=\"a man wearing a suit and tie smiling at the camera\" class=\"wp-image-613542 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/1998\/02\/asia-slt-baining-guo-1910.jpg 360w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/1998\/02\/asia-slt-baining-guo-1910-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/1998\/02\/asia-slt-baining-guo-1910-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/1998\/02\/asia-slt-baining-guo-1910-180x180.jpg 180w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/bainguo\/\">Baining Guo, Microsoft Research Asia<\/a><\/strong><\/p>\n\n\n\n<p>Baining Guo is a Distinguished Scientist with Microsoft Research. Prior to joining Microsoft in 1999, Baining was a senior staff researcher with Intel Research in Santa Clara, California. Baining received his PhD and MS degrees from Cornell University, and his BS from Peking University. He is a fellow of ACM, IEEE, and Canadian Academy of Engineering.<\/p>\n\n\n\n<p>Baining works in computer graphics, geometric modeling, virtual reality, and computer vision. His research focuses on three areas: DNN models for 3D graphics and imaging, statistical modeling of textures and appearances, and geometric modeling. His work is motivated by applications in the fields of virtual reality, video communication, digital content creation, and video gaming. He was a keynote speaker in many graphics and visual computing conferences, including ACM\/SIAM Solid and Physical Modeling (SPM), IEEE Shape Modeling International (SMI), IEEE Virtual Reality (IEEE-VR), IEEE Multimedia and Expo (ICME), IEEE Visual Communication and Image Processing (VCIP), Pacific Graphics (PG), Computer Animation and Social Agents (CASA), and IEEE ICASSP.<\/p>\n\n\n\n<p>He served on program committees of most major graphics conferences, including ACM SIGGRAPH, ACM SIGGRAPH Asia, and IEEE Visualization. He was a member of ACM Siggraph Papers Advisory Group (2013-2015). He was the technical papers program chair of ACM SIGGRAPH Asia in 2014. He also served on the editorial boards of IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, and Elsevier Journal of Computer and Graphics.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"346\" height=\"346\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/Beibei-Shi.jpg\" alt=\"Beibei Shi\" class=\"wp-image-1046838 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/Beibei-Shi.jpg 346w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/Beibei-Shi-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/Beibei-Shi-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/Beibei-Shi-180x180.jpg 180w\" sizes=\"auto, (max-width: 346px) 100vw, 346px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/besh\/\">Beibei Shi, Microsoft Research Asia<\/a><\/strong><\/p>\n\n\n\n<p>Beibei Shi is senior research program manager at Microsoft Research Asia, taking the responsibility of MSR Asia Open Collaborative Research Program and StarTrack Program, as well as university relations between MSR Asia and universities in Central China, South China, China Hongkong and Taiwan. Besides, she takes the responsibility of the strategic cooperation between Microsoft Research Asia and the Ministry of Education of the People\u2019s Republic of China. She focuses on the research theme of Resilience and Trust, has successfully led several open collaborative research sub-themes establishment with related MSR Asia research team, such as AIER Platform, OpenNetLab, Computing for Carbon Negative and Responsible AI.<\/p>\n\n\n\n<p>Before joined MSR Asia, she joined IBM Research China Institute as a researcher in the cross field of environment and computer, after earned master\u2019s degree in environmental science school of China Agricultural University in 2019. Then, she joined the University Partnership Department of IBM China as a program manager. During that period, she participated to design and led to execute industry-academic cooperative research program \u201cgreen horizon plan,\u201d making very solid contribution to technology innovation of air pollution control.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"479\" height=\"479\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li.png\" alt=\"a man posing for a camera\" class=\"wp-image-1143939 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li.png 479w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li-300x300.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li-150x150.png 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li-180x180.png 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li-360x360.png 360w\" sizes=\"auto, (max-width: 479px) 100vw, 479px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/chenda.li\/\">Chenda Li, Shanghai Jiao Tong University<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/strong><\/p>\n\n\n\n<p>Research Assistant Professor, Auditory Cognition and Computational Acoustics Laboratory, Shanghai Jiao Tong University.<\/p>\n\n\n\n<p>Chenda received his Ph.D. (September 2024) and M.S. (June 2020) from the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU), and his Bachelor of Engineering degree (June 2018) from Huazhong University of Science and Technology (HUST). His current research interests include speech enhancement\/separation, universal sound separation, multimodal information processing, and large speech-language models. He is selected for the 2025 Microsoft Research Asia StarTrack Program. He is also a recipient of the SJTU Explore X Fund and the Huawei Spark Award. He was awarded the Tencent AI Lab Rhino-Bird Focused Research Program. He is the primary developer and long-term maintainer of ESPnet-SE, an open-source toolkit for speech enhancement and separation. Widely adopted in academia, ESPnet-SE won the 1st place in the ICASSP L3DAS Speech Enhancement Challenge. He also received the Microsoft Research Asia Fellowship Nomination Award and the Best Oral Presentation Award at NCMMSC 2021. He actively serves as a reviewer for leading speech journals (T-ASLP, Speech Communication) and conferences (ICASSP, Interspeech, AAAI). He has published more than 30 papers, include 11 first author papers in at top-tier speech conferences and journals.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"180\" height=\"180\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chong-luo.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143940 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chong-luo.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chong-luo-150x150.jpg 150w\" sizes=\"auto, (max-width: 180px) 100vw, 180px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cluo\/\">Chong Luo, Microsoft Research Asia<\/a><\/strong><\/p>\n\n\n\n<p>Dr. Chong Luo joined Microsoft Research Asia in 2003 and is now a Principal Research Manager at the Visual Computing Group. She is an adjunct professor and a Ph.D. advisor at the University of Science and Technology of China (USTC), China. Dr. Luo earned her Ph.D. in Electrical Engineering from Shanghai Jiao Tong University in 2012, her M.Sc. in Computer Science from the National University of Singapore (NUS) in 2002, and her B.Sc. in Computer Science from Fudan University in 2000.<\/p>\n\n\n\n<p>Her research focuses on computer vision and intelligent multimedia systems, with particular interests in visual representation learning, multi-modality models, and video synthesis. Dr. Luo is on the editorial board for IEEE Transactions on Multimedia and currently serves as an area chair for CVPR, NeurIPS, and ACM Multimedia. Her contributions have been recognized with the ICLR 2023 Outstanding Paper Award.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"684\" height=\"684\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143942 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu.png 684w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu-300x300.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu-150x150.png 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu-180x180.png 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu-360x360.png 360w\" sizes=\"auto, (max-width: 684px) 100vw, 684px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/dtaoo.github.io\/\"><strong>Di Hu, Renmin University of China<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Di Hu, tenure-track associate professor at Gaoling School of Artificial Intelligence, Renmin University of China. His research interests include multimodal perception, interaction and learning. He has published more than 60 peer-reviewed top conference and journal papers, including T-PAMI, NeurIPS, CVPR, ICCV, ECCV etc. His representative works includes Balanced Multimodal Learning, Tactile Perception Model-AnyTouch, Audiovisual Unified Model-Crab, etc. He is the recipient of the Outstanding Doctoral Dissertation Award by the Chinese Association for Artificial Intelligence and WuWenJun AI Excellent Young Scientist Award. He is sponsored by the Young Elite Scientists Sponsorship Program by CAST.<\/p>\n\n\n\n<p>GeWu-Lab: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgewu-lab.github.io%2F&data=05%7C02%7Cv-yanxuanwu%40microsoft.com%7Cdd62569d340c40382f2c08ddafbf1a95%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638859957724829477%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=JdAmGbttznhJe9CZN1uYswSMZU5DHFUzCMTYxwu0SVY%3D&reserved=0\">https:\/\/gewu-lab.github.io\/<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"257\" height=\"286\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/fan-yang.png\" alt=\"fan yang\" class=\"wp-image-1047003 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/fan-yang.png 257w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/fan-yang-162x180.png 162w\" sizes=\"auto, (max-width: 257px) 100vw, 257px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fanyang\/\">Fan Yang, Microsoft Research Asia<\/a><\/strong><\/p>\n\n\n\n<p>Dr. Fan Yang is a systems researcher and research manager of the Systems Research Group at Microsoft Research Asia (MSR-Asia). He received his B.S. and Ph.D. degrees in computer science from Nanjing University. He joined MSR-Asia after completing his doctoral studies. Dr. Yang\u2019s research focuses on computer systems, particularly those supporting machine learning-based intelligent tasks. He is the architect of machine learning systems OpenPAI, NNFusion, and NNI, used in Microsoft products like Bing and Azure and widely adopted as open-source projects. Previously, Dr. Yang co-developed graph systems like GraM, setting new records for trillion-scale graph analytics, and contributed to SCOPE, Microsoft\u2019s big data engine. His work on the SCOPE-based analytic pipeline for Bing Ads improved processing capacity by over 50%, generating significant additional revenue.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"238\" height=\"238\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-guanhua-chen.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143943 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-guanhua-chen.jpg 238w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-guanhua-chen-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-guanhua-chen-180x180.jpg 180w\" sizes=\"auto, (max-width: 238px) 100vw, 238px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/ghchen.me\/\"><strong>Guanhua Chen, Southern University of Science and Technology<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>CHEN Guanhua is a tenure-track assistant professor from Department of Statistics and Data Science in Southern University of Science and Technology. He received his B.E. degree and M.S. degree from Department of Electrical Engineering in Tsinghua University and Ph.D. degree from Department of Computer Science in The University of Hong Kong. His research interests are LLM data synthesis and complex reasoning in low-resource settings. He has published about 20 papers as first-author or corresponding author in CCF A\/B NLP conferences like NeurIPS\/ACL\/EMNLP\/NAACL. He has received several research funds from the Youth Program of National Natural Science Foundation and General Program of Natural Science Foundation of Guangdong Province.&nbsp;<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"557\" height=\"557\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143944 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei.jpg 557w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei-360x360.jpg 360w\" sizes=\"auto, (max-width: 557px) 100vw, 557px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/haofei.vip\/\"><strong>Hao Fei, National University of Singapore<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Hao Fei is a Senior Research Fellow at the School of Computing, National University of Singapore (NUS), working closely with Prof. Chua Tat-Seng (Fellows of the Singapore National Academy of Science) and Prof. Yan Shuicheng (Fellows of the Academy of Engineering Singapore). His research focuses on vision-language understanding and generation, multimodal large language models (MLLMs), and natural language processing (NLP). Over the past few years, he has published more than 50 first-\/corresponding-author papers in top-tier venues such as IEEE TPAMI, IEEE TKDE, ACM TOIS, AI, ICML, NeurIPS, CVPR, ACL, AAAI, and SIGIR. His work has received over 6,400 citations with an H-index of 47. He has received multiple accolades including the Outstanding PhD Dissertation Award from CIPSC (2022), the WAIC Yunfan Rising Star Award (2023), WAIC Excellent Young Paper Award (2024), and inclusion in the 2024 Elsevier-Stanford World&#8217;s Top 2% Scientists list. His work has earned Best Paper recognitions at ACL, ACM MM workshops, and includes multiple ESI Highly Cited Papers, both named among the top 10 most influential papers at AAAI 2022 and ICML 2024, respectively. His representative contributions include NExT-GPT (the first any-to-any unified multimodal LLM), Vitron (the first unified pixel-level vision-language model for generation, segmentation, and editing), and the Generalist Benchmark (a 5-level evaluation framework for generalist multimodal agents). His MLLM tutorial series is one of the most widely used resources in the community. He has received research funding from CCF-Baidu Pinecone, CCF-Kuaishou, and AISG, serving as PI or co-PI. He has led teams to championship in top AI challenges (e.g., ACM MM 2024 DEMON, ICME 2025 Inova). He frequently serves as an Area Chair or Senior PC Member for top conferences such as ACL, EMNLP, CVPR, ICML, NeurIPS, AAAI, IJCAI, and ACM MM, and now as Associate Editor of ACM TALLIP and Neurocomputing. He has organized over 20 international workshops, tutorials, and shared tasks.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"343\" height=\"343\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/jiaolong-yang.jpg\" alt=\"Jiaolong Yang\" class=\"wp-image-1047681 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/jiaolong-yang.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/jiaolong-yang-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/jiaolong-yang-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/jiaolong-yang-180x180.jpg 180w\" sizes=\"auto, (max-width: 343px) 100vw, 343px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jiaoyan\/\">Jiaolong Yang, Microsoft Research Asia<\/a><\/strong><\/p>\n\n\n\n<p>Jiaolong YANG is a Principal Researcher and Research Manager at the Microsoft Research Asia (MSRA). He specializes in 3D Computer Vision, with research interests that include 3D reconstruction and generative modeling, digital human and AI avatars, and real-time immersive 3D communication. Lately, he is also interested in Embodied AI, delving into the development of foundational action models that are poised to revolutionize robotics with advanced 3D perception. He regularly serves as a program committee member and reviewer for major computer vision conferences and journals, including CVPR, ICCV, ECCV, TPAMI, and IJCV. He also holds the position of Area Chair for CVPR, ICCV, ECCV, WACV, etc.<\/p>\n\n\n\n<p>Before joining MSRA in September 2016, Jiaolong earned dual PhD degrees from The Australian National University (ANU) and Beijing Institute of Technology (BIT) in 2016. He was a research intern at MSRA from November 2015 to March 2016, and a visiting graduate researcher at Harvard University from July 2016 to August 2016. He received the Excellent PhD Thesis Award from China Society of Image and Graphics (CSIG) in 2017, an honor bestowed upon only four recipients in China. He also recieved the Best Paper Award at IEEE VR 2022.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-1024x1024.jpg\" alt=\"Lily Sun\" class=\"wp-image-1144091 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-1024x1024.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-768x768.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-360x360.jpg 360w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun.jpg 1082w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jiaoyan\/\"><\/a><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lisu\/\">Lily Sun, Microsoft Research Asia<\/a><\/strong><\/p>\n\n\n\n<p>Lily Sun (\u5b59\u4e3d\u541b) is Director of the Microsoft Research Asia (MSRA) Accelerator Team (previously Outreach Team), where she oversees academic engagement in mainland China, Hong Kong, and Singapore, while driving key accelerator programs, collaborations, and global research collaborative initiatives for MSR Asia. With over a decade of experience at MSRA, Lily has made significant contributions by building high-impact talent cultivation programs, accelerating research partnerships, and amplifying its research leadership and thought leadership across the region.<\/p>\n\n\n\n<p>Lily and her team are responsible for crafting and executing strategies that attract, develop, and retain diverse, high-quality talent for MSR Asia. Their efforts include flagship programs such as the Stars of Tomorrow Internship, StarTrack Young Visiting Scholars Program, Joint PhD Program, StarLeap Program, StarBridge Program, and PhD forums. They also lead research acceleration across themes like the MSR Asia Theory Center, AI for Education, AI for Cultural Heritage, Societal AI, AI for Sustainability, and AI for Healthcare, promoting cross-disciplinary and cross-boundary innovation.<\/p>\n\n\n\n<p>As a passionate advocate for diversity and inclusion, Lily founded the Microsoft Ada Workshops in 2016, fostering collaboration between academia and industry to empower the next generation of female tech talent. She serves as an executive member of the Women Branch of the China Computer Federation and co-chair of the Women at Microsoft Greater China Region.<\/p>\n\n\n\n<p>Lily holds an M.S. in Engineering and a B.S. in Science from Peking University.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"180\" height=\"180\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-li-zhang.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143945 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-li-zhang.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-li-zhang-150x150.jpg 150w\" sizes=\"auto, (max-width: 180px) 100vw, 180px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lzhani\/?msockid=37e4ae0aca0868273cf5bb0ccb7469ce\"><strong>Li Zhang, Microsoft Research Asia<\/strong><\/a><\/p>\n\n\n\n<p>I am currently a senior researcher at Systems and Networking Groups of&nbsp;<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-asia\/\">Microsoft Research Aisa<\/a>. I received my Ph.D. degree from the&nbsp;<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/ustc.edu.cn\/\" target=\"_blank\" rel=\"noopener noreferrer\">University of Science and Technology of China<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>&nbsp;(USTC) in 2018. Before that, I received my B.S. degree from USTC in 2013. My research interests lie broadly in AI algorithms. After I joined MSRA, my research focused on inventing novel algorithms for improving AI inference efficiency, which include: (1) compression for pre-trained transformer models and LLMs, and (2) hardware-aware NAS for edge AI.<\/p>\n\n\n\n<p>These days, I have been deeply interested in exploring and addressing the cutting-edge research problems in LLMs and AGI. A list of topics I\u2019m actively working on and thinking about:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Long-context LLM<\/li>\n\n\n\n<li>LLM self-play<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"270\" height=\"270\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/luo-mai.jpg\" alt=\"Luo Mai\" class=\"wp-image-1144730 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/luo-mai.jpg 270w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/luo-mai-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/luo-mai-180x180.jpg 180w\" sizes=\"auto, (max-width: 270px) 100vw, 270px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/luomai.github.io\/\"><strong>Luo Mai, University of Edinburgh<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Luo Mai is a Lecturer in Data-Centric Systems in the School of Informatics at the University of Edinburgh. He also maintains an honorary affiliation with the department of computing at Imperial College London. Prior, he is a research associate at Imperial College London and a visiting researcher at Microsoft. Luo received his PhD from Imperial College London in 2018. He is the recipient of a prestigious Google PhD fellowship.<\/p>\n\n\n\n<p>Luo\u2019s research interests are at the intersection between distributed systems, machine learning and data management. He has received the Alibaba Innovative Research Award in 2020, Microsoft Azure Research Award in 2018, and Best Open-Source Software Award from ACM Multimedia in 2017<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"430\" height=\"430\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie.jpg\" alt=\"Minhui Xie\" class=\"wp-image-1143946 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie.jpg 430w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie-360x360.jpg 360w\" sizes=\"auto, (max-width: 430px) 100vw, 430px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/minhui-xie.github.io\/\"><strong>Minhui Xie, Renmin University of China<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Minhui Xie is an assistant professor (lecturer) in the Department of Computer Science at Renmin University of China, and a recipient of the Yuzhang Wu Young Talent. He received Ph.D. in Computer Science from Tsinghua University in 2024, where he was advised by Professors Youyou Lu and Jiwu Shu. He obtained his bachelor&#8217;s degree in Computer Science from Nanjing University in 2019. His research interests lie in machine learning system and storage system, with a focus on building high-performance storage foundations for the next generation of AI (Storage for AI) to meet new storage demands across the AI lifecycle in terms of scalability, cost efficiency, and fault tolerance. He has published over ten papers in top-tier conferences such as SC, EuroSys, USENIX ATC, ASPLOS, SIGMOD, and VLDB. He also serves as a reviewer for various international conferences and journals.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"366\" height=\"407\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-pengshuai-wang.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143947 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-pengshuai-wang.jpg 366w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-pengshuai-wang-270x300.jpg 270w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-pengshuai-wang-162x180.jpg 162w\" sizes=\"auto, (max-width: 366px) 100vw, 366px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.icst.pku.edu.cn\/xztd\/xztd_01\/1359542.htm\"><strong>Pengshuai Wang, Peking University<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Pengshuai Wang is currently an Assistant Professor at Peking University. His research interests include computer graphics, geometry processing, and 3D deep learning. He has published multiple papers at top-tier international conferences such as SIGGRAPH (Asia) and CVPR. His work on octree-based 3D convolutional neural networks (O-CNN) was among the top five most cited papers published in SIGGRAPH (Asia) and ACM Transactions on Graphics (TOG) from 2017 to 2022. He currently serves as an associate editor of the graphics journal Computers & Graphics and as a program committee member for several major international graphics conferences, including SIGGRAPH Asia, Eurographics, SGP, and CVM. He received the Asiagraphics Young Researcher Award in 2023 and the China3DV Excellent Young Researcher Award in 2025.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"616\" height=\"616\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie.jpg\" alt=\"Xing Xie\" class=\"wp-image-1068351 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie.jpg 616w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie-360x360.jpg 360w\" sizes=\"auto, (max-width: 616px) 100vw, 616px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\"><strong>Xing Xie, Microsoft Research Asia<\/strong><\/a><\/p>\n\n\n\n<p>Dr. Xing Xie is a Partner Research Manager at Microsoft Research Asia. He received his B.S. and Ph.D. degrees in Computer Science from the University of Science and Technology of China in 1996 and 2001, respectively. Since joining Microsoft Research Asia in July 2001, Dr. Xie has led research in data mining, social computing, and responsible artificial intelligence. His contributions have been widely recognized with numerous prestigious awards, including the IEEE MDM 2023 Test-of-Time Award, ACM SIGKDD 2022 Test-of-Time Award, ACM SIGKDD China 2021 Test-of-Time Award, ACM SIGSPATIAL 2020 10-Year Impact Award (Honorable Mention), and ACM SIGSPATIAL 2019 10-Year Impact Award. Dr. Xie has been invited to deliver keynote speeches at several major conferences, such as DASFAA 2025, MDM 2019, ASONAM 2017, and W2GIS 2011. He currently serves on the editorial boards of ACM Transactions on Social Computing, ACM Transactions on Intelligent Systems and Technology, and CCF Transactions on Pervasive Computing and Interaction. He has also served as Program Co-Chair for a number of top-tier conferences, including ACM UbiComp 2011, PCC 2012, IEEE UIC 2015, SMP 2017, ACM SIGSPATIAL 2021 and 2022, IEEE MDM 2022, and PAKDD 2024. Dr. Xie is a Fellow of the ACM, IEEE, and China Computer Federation.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-1024x1024.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143948 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-1024x1024.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-768x768.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-360x360.jpg 360w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang.jpg 1349w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/people.ucas.ac.cn\/~0081363\"><strong>Tong Zhang, University of Chinese Academy of Sciences<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Tong Zhang received the B.S. degree from Beihang University, Beijing, China, in 2011, and the M.S. degree from New York University, New York, NY, USA, in 2014. He obtained the Ph.D. degree from the Australian National University, Canberra, Australia, in 2020. From 2020 to 2024, he was a postdoctoral researcher at the \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland. He is currently a tenure-track Assistant Professor at the University of Chinese Academy of Sciences (UCAS). He received the Best Student Paper Honorable Mention at ACCV 2016 and was nominated for the Best Paper Award at CVPR 2020. His research interests include representation learning and 3D vision.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"462\" height=\"592\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yihao-chen.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143949 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yihao-chen.jpg 462w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yihao-chen-234x300.jpg 234w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yihao-chen-140x180.jpg 140w\" sizes=\"auto, (max-width: 462px) 100vw, 462px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/fet.tsinghua.edu.cn\/FulltimeResearchers\/183.html\"><strong>Yihao Chen, Tsinghua University<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Dr. Yihao Chen is the Associate Professor at the School of Aerospace Engineering and the National Key Laboratory of Flexible Electronics Technology, Tsinghua University. He received his Ph.D. in Engineering Mechanics from Tsinghua University in 2019 under the supervision of Academician Yonggang Huang and Professor Xue Feng, and was subsequently awarded the Postdoctoral Innovative Talent Support Program. After conducting postdoctoral research at Tsinghua, he briefly served as an Associate Professor at the School of Medical Science and Engineering, Beihang University in early 2022 before returning to Tsinghua as an Associate Professor by year-end. His research focuses on the design, fabrication, and characterization of flexible electronic devices for digital health and intelligent sensing applications. Key innovations include developing medical-grade wearable ECG technology (certified by NMPA) and pioneering the world\u2019s first skin-like noninvasive continuous glucose monitoring system\u2014garnering coverage from over 30 global media outlets and selection for the 2019 Capital Sci-Tech Innovation Achievements Show. He has authored 20+ SCI papers (e.g., Science Advances, IEEE EDL\/TBME), presented 2 EI papers at IEEE IEDM\/EDSSC, and holds 14 authorized invention patents. His honors include the First Prize of the Beijing Natural Science Award and a Gold Medal at the International Exhibition of Inventions of Geneva (both as the third contributor).&nbsp;<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"354\" height=\"354\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yupeng-li.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143950 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yupeng-li.png 354w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yupeng-li-300x300.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yupeng-li-150x150.png 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yupeng-li-180x180.png 180w\" sizes=\"auto, (max-width: 354px) 100vw, 354px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/imd.hkbu.edu.hk\/faculty-member\/Dr-Yupeng-LI.html\"><strong>Yupeng Li, Hong Kong Baptist University<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Yupeng Li is with the Department of Interactive Media at Hong Kong Baptist University. He is the director of AI and Social Good Lab, AI Media Centre, and had been an Associate Director (Research and Technology) of HKBU Fact Check. He received his PhD degree at The University of Hong Kong and was a postdoctoral research fellow at the University of Toronto. Dr. Li is interested in trustworthy social computing, network science, and threat-resilient AI. He is excited about <em>interdisciplinary research <\/em>that applies algorithmic techniques to edging problems. His work has been accepted in venues such as WWW, ICA, ToN, TMC, JSAC, Infocom, and ICDCS. Dr. Li was the TPC Co-Chairs for an Interdisciplinary Research Track at ICDCS 2024 and SocialMeta 2023. His work has received outstanding paper awards from CSoNet, Young Consumers Journal, IEEE TSG, MSN, and IWQoS. Dr. Li has led research initiatives and secured several competitive funding for various interdisciplinary research projects. He has been awarded the <em>Rising Star in Social Computing Award<\/em>&nbsp;by Chinese Association for&nbsp;Artificial Intelligence. Dr. Li is a recipient of the <em>President\u2019s Award of HKBU 2025&nbsp;for Outstanding Performance<\/em>.&nbsp;<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"180\" height=\"180\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yuqing-yang.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143951 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yuqing-yang.png 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yuqing-yang-150x150.png 150w\" sizes=\"auto, (max-width: 180px) 100vw, 180px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuqyang\/\"><strong>Yuqing Yang, Microsoft Research Asia<\/strong><\/a><\/p>\n\n\n\n<p>I am the Principal Research SDE Manager at Microsoft Research Asia, leading the Systems and Engineering Group in Shanghai. My work focuses on advancing large-scale model systems, multimodal systems, and intelligent agents. I specialize in efficient computation techniques, long-context inference, and real-world applications of large language models (LLMs). My research bridges cutting-edge AI innovations with practical applications, with publications in top-tier conferences such as OSDI, SOSP, NeurIPS, EuroSys, ATC, CVPR, ICCV, and etc.. I hold B.S. and Ph.D. degrees from Fudan University, earned in 2006 and 2011, respectively.<\/p>\n\n\n\n<p>We are currently working on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Resource scheduling and compiling optimization to accelerate the large-scale, sparse, and dynamic DNN models, e.g., the topology-aware GPU scheduler and sparsity compiling stack<\/li>\n\n\n\n<li>Hardware efficiency (e.g., latency, energy, and carbon footprint) study of diverse DNN models and prediction based automatic efficient model design<\/li>\n\n\n\n<li>Real time DNN models and systems for cloud gaming and video streaming<\/li>\n\n\n\n<li>Wireless sensing for Healthcare, Environments, and Human Computer Interaction<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"100\" height=\"100\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-zhenghao-chen.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143952 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.newcastle.edu.au\/profile\/zhenghao-chen\"><strong>Zhenghao Chen, The University of Newcastle, Australia<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Dr. Zhenghao Chen is a Faculty Member at The University of Newcastle. He obtained B.Eng. H1 and Ph.D. at the University of Sydney in 2017 and 2022, respectively.&nbsp; He was a Research Engineer at TikTok, a Postdoctoral Research Fellow at the University of Sydney and a Visiting Research Scientist at Microsoft Research and Disney Research. He has been awarded Google Australia Prize, Australia RTP International Fellowship,&nbsp; ACM SIGMM Outstanding Thesis Award, and Microsoft Research StrarTrack Fellowship for his academic merit.&nbsp;<\/p>\n\n\n\n<p>Dr. Chen&#8217;s general research interests encompass Computer Vision, Natural Language Processing, and Machine Learning. He is particularly renowned for his expertise in Generative AI, applying his research in both academic and industrial contexts. Dr. Chen has published extensively in flagship AI conferences and journals such as CVPR, ICCV, ECCV, MM, AAAI, ICLR and journals asuch as T-PAMI, T-IP, T-MI, and holds several patents. Additionally, he serves on the Conference Program Committee (PC) for CVPR, ECCV, ICCV, SIGGRAPH, AAAI, IJCAI, MICCAI, MM, KDD and organizes workshops in MM and ICCV. He also acts as a journal reviewer for IJCV, T-IP, T-MI, T-CSVT, PR, and a Guest Editor for MDPI-Algorithms and Frontier-in-AI.&nbsp;<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"559\" height=\"559\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143953 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao.jpg 559w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao-360x360.jpg 360w\" sizes=\"auto, (max-width: 559px) 100vw, 559px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.ziangxiao.com\/\"><strong>Ziang Xiao, Johns Hopkins University<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Ziang Xiao is an assistant professor in the Johns Hopkins University\u2019s Department of Computer Science and a member of the Data Science and AI Institute and Hopkins Population Center. His research is motivated by the fundamental question of understanding humans at scale. Through his research, his group aims to understand and create novel technologies to operationalize intuitions and curiosities about how we think and behave. His current research focuses on three topics: AI for social science, human-centered model evaluation, and human information interaction. Broadly, Dr. Xiao\u2019s work lies at the intersection of human computer interaction, natural language processing, and social psychology. He completed his PhD in computer science at the University of Illinois Urbana-Champaign. Before joining Johns Hopkins, Dr. Xiao spent a year in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montreal.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"654\" height=\"654\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia.jpg\" alt=\"a man wearing glasses\" class=\"wp-image-1143954 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia.jpg 654w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia-360x360.jpg 360w\" sizes=\"auto, (max-width: 654px) 100vw, 654px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/ziyujia.github.io\/\"><strong>Ziyu Jia, Institute of Automation of Chinese Academy of Sciences<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Ziyu Jia is an Assistant Professor at the Institute of Automation, Chinese Academy of Sciences. His research focuses on time-series analysis methods and their applications in health and medicine, including multimodal affective computing, sleep stage classification, and brain-computer interfaces. He has published over 50 peer-reviewed papers in venues such as IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia, IEEE Transactions on Neural Systems and Rehabilitation Engineering, KDD, and ICLR. Dr. Jia currently serves as an Associate Editor or Editorial Board Member for prestigious journals including IEEE Transactions on Affective Computing and Information Fusion, and he is an Area Chair for major AI and machine learning conferences such as IJCAI and IJCNN. In addition to his academic contributions, Dr. Jia has extensive industry experience, having successfully led multiple R&D projects and secured several patents.<\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>The MSRA StarTrack Seminar Series is designed to promote academic exchange and collaboration between StarTrack Scholars and Microsoft Research Asia (MSRA), encouraging interdisciplinary dialogue and fostering long-term partnerships across research domains. 2025 MSRA StarTrack Seminar will be held offline on July 15 at MSRA Beijing, featuring three major segments that highlight this year\u2019s key themes [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2025-07-15","msr_enddate":"2025-07-15","msr_location":"Meeting Room 74, Building 1, Beijing office, Microsoft Research Asia","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR56FpwDO1XJNr8IOr1Jc2g1UNE9KMlkwWTdFNVFSQ0dCSEVRNlpVV1lBOS4u","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":null,"footnotes":""},"research-area":[13556],"msr-region":[197903],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[269148,269142],"msr-impact-theme":[],"class_list":["post-1143918","msr-event","type-msr-event","status-publish","hentry","msr-research-area-artificial-intelligence","msr-region-asia-pacific","msr-event-type-hosted-by-microsoft","msr-locale-en_us","msr-post-option-approved-for-river","msr-post-option-include-in-river"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"2025 MSRA StarTrack Seminar\",\"backgroundColor\":\"\"} \/-->\n\n<!-- wp:msr\/content-tabs -->\n<!-- wp:msr\/content-tab -->\n<!-- wp:columns -->\n<div class=\"wp-block-columns\"><!-- wp:column {\"width\":\"66.66%\"} -->\n<div class=\"wp-block-column\" style=\"flex-basis:66.66%\"><!-- wp:paragraph {\"placeholder\":\"Add Event Overview content\u2026\"} -->\n<p>The MSRA StarTrack Seminar Series is designed to promote academic exchange and collaboration between StarTrack Scholars and Microsoft Research Asia (MSRA), encouraging interdisciplinary dialogue and fostering long-term partnerships across research domains.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>2025 MSRA StarTrack Seminar will be held offline on July 15 at MSRA Beijing, featuring three major segments that highlight this year\u2019s key themes and areas of inquiry.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>The seminar will begin with the Invited Research Talks of MSRA, where distinguished MSRA researchers will present the latest breakthroughs and emerging trends in AI-related fields. This session serves as a window into the research culture and frontier directions pursued at MSRA.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Following this, two curated sessions of the Idea Sparks Panel will provide an interactive platform for StarTrack Scholars and MSRA researchers to share ignite new ideas and cutting-edge work:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:list -->\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\n<li>Idea Sparks Panel I \u2013 From Vision to Deployment: Scaling Multimodal Foundation Models for Real-World Impact<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<li>Idea Sparks Panel II \u2013 Understanding Efficiency through the Lens of Intelligence<\/li>\n<!-- \/wp:list-item --><\/ul>\n<!-- \/wp:list -->\n\n<!-- wp:paragraph -->\n<p>This seminar is designed as an open platform for interdisciplinary dialogue between StarTrack Scholars and the broader MSRA research community. Through in-depth topic panels, focused discussions, and informal exchanges, we hope to spark fresh thinking, uncover shared interests, and seed future collaborations across research domains.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Let us come together to spark ideas, advance frontiers, and shape the future \u2014 together.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"placeholder\":\"Add Event Overview content\u2026\"} -->\n<p>Committee: Beibei Shi (Chair), Chong Luo, Dongsheng li, Dongdong Zhang, Shujie Liu, Yang Fan, Yanxuan Wu (PM)<\/p>\n<!-- \/wp:paragraph --><\/div>\n<!-- \/wp:column -->\n\n<!-- wp:column {\"width\":\"33.33%\"} -->\n<div class=\"wp-block-column\" style=\"flex-basis:33.33%\"><!-- wp:image {\"id\":1144735,\"width\":\"300px\",\"sizeSlug\":\"large\",\"linkDestination\":\"media\"} -->\n<figure class=\"wp-block-image size-large is-resized\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New.png\" target=\"_blank\" rel=\" noreferrer noopener\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-Poster-New-682x1024.png\" alt=\"poster\" class=\"wp-image-1144735\" style=\"width:300px\"\/><\/a><\/figure>\n<!-- \/wp:image --><\/div>\n<!-- \/wp:column --><\/div>\n<!-- \/wp:columns -->\n\n<!-- wp:spacer {\"height\":\"30px\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<!-- \/wp:spacer -->\n<!-- \/wp:msr\/content-tab -->\n\n<!-- wp:msr\/content-tab {\"title\":\"Agenda\"} -->\n<!-- wp:html -->\n<figure class=\"wp-block-table\">\n\t<table class=\"has-fixed-layout\">\n\t\t<thead>\n\t\t\t<tr>\n\t\t\t\t<th style=\"width:20%\">\n\t\t\t\t\t<strong>\n\t\t\t\t\t\tTime\n\t\t\t\t\t<\/strong>\n\t\t\t\t<\/th>\n\t\t\t\t<th style=\"width:40%\">\n\t\t\t\t\t<strong>\n\t\t\t\t\t\tSession\n\t\t\t\t\t<\/strong>\n\t\t\t\t<\/th>\n\t\t\t\t<th style=\"width:40%\">\n\t\t\t\t\t<strong>\n\t\t\t\t\t\tSpeaker\n\t\t\t\t\t<\/strong>\n\t\t\t\t<\/th>\n\t\t\t<\/tr>\n\t\t<\/thead>\n\t\t<tbody>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t13:30 \u2013 13:40\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tOpening and Welcome\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tBaining Guo, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t13:40 \u2013 14:10\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tInvited MSRA Research Talks (2x15 mins)\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tJiaolong Yang, Microsoft Research Asia\n\t\t\t\t\t<br>\n\t\t\t\t\tLi Zhang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td rowspan=\"11\">\n\t\t\t\t\t14:10 - 15:40\n\t\t\t\t<\/td>\n\t\t\t\t<td rowspan=\"2\">\n\t\t\t\t\tIdea Sparks Panel I (From Vision to Deployment: Scaling Multimodal Foundation\n\t\t\t\t\tModels for Real-World Impact)\n\t\t\t\t<\/td>\n\t\t\t\t<td rowspan=\"2\">\n\t\t\t\t\tChong Luo, Microsoft Research Asia (Host)\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tThe Research Journey: From Multimedia to Multimodal, then Multi-what?\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tDi Hu, Renmin University of China\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Jianlong Fu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tTowards reasoning multimodal LLMs in low-resource scenarioes\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tGuanhua Chen, Southern University of Science and Technology\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Dongdong\u00a0 Zhang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tTowards Generalizable Human-Level Multimodal Generalist\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tHao Fei, National University of Singapore\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Lei Cui, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tWhen Do Multimodal Foundation Models Need 3D Capabilities\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tPengshuai Wang, Peking University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Jiaolong Yang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tToward Self-Supervised Large Feedforward Systems\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tTong Zhang, University of Chinese Academy of Sciences\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Baining Guo, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tFostering Digital Trust: Combating Untrustworthy Information with Multimodal\n\t\t\t\t\tAI\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tYupeng Li, Hong Kong Baptist University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Fangzhao Wu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tInformation foraging with multimodal LLMs: opportunities and challenges\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tZiang Xiao, Johns Hopkins University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Xiaoyuan Yi, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tBeyond Behavioral Alignment: Toward Neural-Level Alignment in Multimodal\n\t\t\t\t\tFoundation Models\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tZiyu Jia, Institute of Automation of Chinese Academy of Sciences\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Yansen Wang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tDiscussion\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tAll\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t15:40 - 16:00\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tGroup Photo and Tea Break\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tAll\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td rowspan=\"8\">\n\t\t\t\t\t16:00 - 17:30\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tIdea Sparks Panel II (Understanding efficiency through the lens of intelligence)\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tFan Yang, Microsoft Research Asia (Host)\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tObservations on the Evolving of LLM Intelligence and Efficiency\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tYuqing Yang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tBalancing Efficiency and Intelligence in Speech Enhancement: Insights\n\t\t\t\t\tfrom Recent Advances\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tChenda Li, Shanghai Jiao Tong University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher:Shujie Liu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tDesigning system Software for Wafer-Scale AI computing\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tLuo Mai, University of Edinburgh (Online)\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Fan Yang, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tFlexible Sensing for Physical Perception: Gaining Efficiency in Embodied\n\t\t\t\t\tAI\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tMinhui Xie, Renmin University of China\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Ran Shu, Microsoft Research Asia\n\t\t\t\t\t<br>\n\t\t\t\t\tBaotong Lu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tTackling Data Redundancy in the Generative AI Era\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tYihao Chen, Tsinghua University\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Zilong Wang, Microsoft Research Asia\n\t\t\t\t\t<br>\n\t\t\t\t\tLili Qiu, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tRethinking the efficiency of generative models\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tZhenghao Chen, The University of Newcastle, Australia (Online)\n\t\t\t\t\t<br>\n\t\t\t\t\tCollaborative researcher: Bin Li, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\tDiscussion\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tAll\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t17:30 - 17:40\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tClosing Remarks\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tLily Sun, Microsoft Research Asia\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t\t<tr>\n\t\t\t\t<td>\n\t\t\t\t\t18:00 \u2013 20:00\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t\tDinner + Question Box Interaction\n\t\t\t\t<\/td>\n\t\t\t\t<td>\n\t\t\t\t<\/td>\n\t\t\t<\/tr>\n\t\t<\/tbody>\n\t<\/table>\n<\/figure>\n<!-- \/wp:html -->\n\n<!-- wp:image {\"id\":1148420,\"sizeSlug\":\"large\",\"linkDestination\":\"none\"} -->\n<figure class=\"wp-block-image size-large\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-MSRA-StarTrack-Seminar-photo-1024x684.jpg\" alt=\"a group of people posing for a photo\" class=\"wp-image-1148420\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:spacer {\"height\":\"30px\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<!-- \/wp:spacer -->\n<!-- \/wp:msr\/content-tab -->\n\n<!-- wp:msr\/content-tab {\"title\":\"Speakers\"} -->\n<!-- wp:media-text {\"mediaId\":613542,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-asia\/asia-slt-baining-guo-1910\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/1998\/02\/asia-slt-baining-guo-1910.jpg\" alt=\"a man wearing a suit and tie smiling at the camera\" class=\"wp-image-613542 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/bainguo\/\">Baining Guo, Microsoft Research Asia<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"backgroundColor\":\"\"} -->\n<p>Baining Guo is a Distinguished Scientist with Microsoft Research. Prior to joining Microsoft in 1999, Baining was a senior staff researcher with Intel Research in Santa Clara, California. Baining received his PhD and MS degrees from Cornell University, and his BS from Peking University. He is a fellow of ACM, IEEE, and Canadian Academy of Engineering.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Baining works in computer graphics, geometric modeling, virtual reality, and computer vision. His research focuses on three areas: DNN models for 3D graphics and imaging, statistical modeling of textures and appearances, and geometric modeling. His work is motivated by applications in the fields of virtual reality, video communication, digital content creation, and video gaming. He was a keynote speaker in many graphics and visual computing conferences, including ACM\/SIAM Solid and Physical Modeling (SPM), IEEE Shape Modeling International (SMI), IEEE Virtual Reality (IEEE-VR), IEEE Multimedia and Expo (ICME), IEEE Visual Communication and Image Processing (VCIP), Pacific Graphics (PG), Computer Animation and Social Agents (CASA), and IEEE ICASSP.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"backgroundColor\":\"\"} -->\n<p>He served on program committees of most major graphics conferences, including ACM SIGGRAPH, ACM SIGGRAPH Asia, and IEEE Visualization. He was a member of ACM Siggraph Papers Advisory Group (2013-2015). He was the technical papers program chair of ACM SIGGRAPH Asia in 2014. He also served on the editorial boards of IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, and Elsevier Journal of Computer and Graphics.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1046838,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2024-msra-startrack-seminars-june-edition\/beibei-shi-2\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/Beibei-Shi.jpg\" alt=\"Beibei Shi\" class=\"wp-image-1046838 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/besh\/\">Beibei Shi, Microsoft Research Asia<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Beibei Shi is senior research program manager at Microsoft Research Asia, taking the responsibility of MSR Asia Open Collaborative Research Program and StarTrack Program, as well as university relations between MSR Asia and universities in Central China, South China, China Hongkong and Taiwan. Besides, she takes the responsibility of the strategic cooperation between Microsoft Research Asia and the Ministry of Education of the People\u2019s Republic of China. She focuses on the research theme of Resilience and Trust, has successfully led several open collaborative research sub-themes establishment with related MSR Asia research team, such as AIER Platform, OpenNetLab, Computing for Carbon Negative and Responsible AI.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Before joined MSR Asia, she joined IBM Research China Institute as a researcher in the cross field of environment and computer, after earned master\u2019s degree in environmental science school of China Agricultural University in 2019. Then, she joined the University Partnership Department of IBM China as a program manager. During that period, she participated to design and led to execute industry-academic cooperative research program \u201cgreen horizon plan,\u201d making very solid contribution to technology innovation of air pollution control.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143939,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143939\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chenda-li.png\" alt=\"a man posing for a camera\" class=\"wp-image-1143939 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/chenda.li\/\">Chenda Li, Shanghai Jiao Tong University<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Research Assistant Professor, Auditory Cognition and Computational Acoustics Laboratory, Shanghai Jiao Tong University.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Chenda received his Ph.D. (September 2024) and M.S. (June 2020) from the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU), and his Bachelor of Engineering degree (June 2018) from Huazhong University of Science and Technology (HUST). His current research interests include speech enhancement\/separation, universal sound separation, multimodal information processing, and large speech-language models. He is selected for the 2025 Microsoft Research Asia StarTrack Program. He is also a recipient of the SJTU Explore X Fund and the Huawei Spark Award. He was awarded the Tencent AI Lab Rhino-Bird Focused Research Program. He is the primary developer and long-term maintainer of ESPnet-SE, an open-source toolkit for speech enhancement and separation. Widely adopted in academia, ESPnet-SE won the 1st place in the ICASSP L3DAS Speech Enhancement Challenge. He also received the Microsoft Research Asia Fellowship Nomination Award and the Best Oral Presentation Award at NCMMSC 2021. He actively serves as a reviewer for leading speech journals (T-ASLP, Speech Communication) and conferences (ICASSP, Interspeech, AAAI). He has published more than 30 papers, include 11 first author papers in at top-tier speech conferences and journals.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143940,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143940\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-chong-luo.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143940 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cluo\/\">Chong Luo, Microsoft Research Asia<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Dr. Chong Luo joined Microsoft Research Asia in 2003 and is now a Principal Research Manager at the Visual Computing Group. She is an adjunct professor and a Ph.D. advisor at the University of Science and Technology of China (USTC), China. Dr. Luo earned her Ph.D. in Electrical Engineering from Shanghai Jiao Tong University in 2012, her M.Sc. in Computer Science from the National University of Singapore (NUS) in 2002, and her B.Sc. in Computer Science from Fudan University in 2000.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Her research focuses on computer vision and intelligent multimedia systems, with particular interests in visual representation learning, multi-modality models, and video synthesis. Dr. Luo is on the editorial board for IEEE Transactions on Multimedia and currently serves as an area chair for CVPR, NeurIPS, and ACM Multimedia. Her contributions have been recognized with the ICLR 2023 Outstanding Paper Award.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143942,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143942\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-di-hu.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143942 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/dtaoo.github.io\/\"><strong>Di Hu, Renmin University of China<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Di Hu, tenure-track associate professor at Gaoling School of Artificial Intelligence, Renmin University of China. His research interests include multimodal perception, interaction and learning. He has published more than 60 peer-reviewed top conference and journal papers, including T-PAMI, NeurIPS, CVPR, ICCV, ECCV etc. His representative works includes Balanced Multimodal Learning, Tactile Perception Model-AnyTouch, Audiovisual Unified Model-Crab, etc. He is the recipient of the Outstanding Doctoral Dissertation Award by the Chinese Association for Artificial Intelligence and WuWenJun AI Excellent Young Scientist Award. He is sponsored by the Young Elite Scientists Sponsorship Program by CAST.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>GeWu-Lab: <a href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgewu-lab.github.io%2F&amp;data=05%7C02%7Cv-yanxuanwu%40microsoft.com%7Cdd62569d340c40382f2c08ddafbf1a95%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638859957724829477%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=JdAmGbttznhJe9CZN1uYswSMZU5DHFUzCMTYxwu0SVY%3D&amp;reserved=0\">https:\/\/gewu-lab.github.io\/<\/a><\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1047003,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2024-msra-startrack-seminars-june-edition\/fan-yang-4\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/fan-yang.png\" alt=\"fan yang\" class=\"wp-image-1047003 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fanyang\/\">Fan Yang, Microsoft Research Asia<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Dr. Fan Yang is a systems researcher and research manager of the Systems Research Group at Microsoft Research Asia (MSR-Asia). He received his B.S. and Ph.D. degrees in computer science from Nanjing University. He joined MSR-Asia after completing his doctoral studies. Dr. Yang\u2019s research focuses on computer systems, particularly those supporting machine learning-based intelligent tasks. He is the architect of machine learning systems OpenPAI, NNFusion, and NNI, used in Microsoft products like Bing and Azure and widely adopted as open-source projects. Previously, Dr. Yang co-developed graph systems like GraM, setting new records for trillion-scale graph analytics, and contributed to SCOPE, Microsoft\u2019s big data engine. His work on the SCOPE-based analytic pipeline for Bing Ads improved processing capacity by over 50%, generating significant additional revenue.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143943,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143943\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-guanhua-chen.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143943 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/ghchen.me\/\"><strong>Guanhua Chen, Southern University of Science and Technology<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>CHEN Guanhua is a tenure-track assistant professor from Department of Statistics and Data Science in Southern University of Science and Technology. He received his B.E. degree and M.S. degree from Department of Electrical Engineering in Tsinghua University and Ph.D. degree from Department of Computer Science in The University of Hong Kong. His research interests are LLM data synthesis and complex reasoning in low-resource settings. He has published about 20 papers as first-author or corresponding author in CCF A\/B NLP conferences like NeurIPS\/ACL\/EMNLP\/NAACL. He has received several research funds from the Youth Program of National Natural Science Foundation and General Program of Natural Science Foundation of Guangdong Province.&nbsp;<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143944,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143944\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-hao-fei.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143944 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"http:\/\/haofei.vip\/\"><strong>Hao Fei, National University of Singapore<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Hao Fei is a Senior Research Fellow at the School of Computing, National University of Singapore (NUS), working closely with Prof. Chua Tat-Seng (Fellows of the Singapore National Academy of Science) and Prof. Yan Shuicheng (Fellows of the Academy of Engineering Singapore). His research focuses on vision-language understanding and generation, multimodal large language models (MLLMs), and natural language processing (NLP). Over the past few years, he has published more than 50 first-\/corresponding-author papers in top-tier venues such as IEEE TPAMI, IEEE TKDE, ACM TOIS, AI, ICML, NeurIPS, CVPR, ACL, AAAI, and SIGIR. His work has received over 6,400 citations with an H-index of 47. He has received multiple accolades including the Outstanding PhD Dissertation Award from CIPSC (2022), the WAIC Yunfan Rising Star Award (2023), WAIC Excellent Young Paper Award (2024), and inclusion in the 2024 Elsevier-Stanford World's Top 2% Scientists list. His work has earned Best Paper recognitions at ACL, ACM MM workshops, and includes multiple ESI Highly Cited Papers, both named among the top 10 most influential papers at AAAI 2022 and ICML 2024, respectively. His representative contributions include NExT-GPT (the first any-to-any unified multimodal LLM), Vitron (the first unified pixel-level vision-language model for generation, segmentation, and editing), and the Generalist Benchmark (a 5-level evaluation framework for generalist multimodal agents). His MLLM tutorial series is one of the most widely used resources in the community. He has received research funding from CCF-Baidu Pinecone, CCF-Kuaishou, and AISG, serving as PI or co-PI. He has led teams to championship in top AI challenges (e.g., ACM MM 2024 DEMON, ICME 2025 Inova). He frequently serves as an Area Chair or Senior PC Member for top conferences such as ACL, EMNLP, CVPR, ICML, NeurIPS, AAAI, IJCAI, and ACM MM, and now as Associate Editor of ACM TALLIP and Neurocomputing. He has organized over 20 international workshops, tutorials, and shared tasks.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1047681,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2024-msra-startrack-seminars-june-edition\/jiaolong-yang\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/06\/jiaolong-yang.jpg\" alt=\"Jiaolong Yang\" class=\"wp-image-1047681 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jiaoyan\/\">Jiaolong Yang, Microsoft Research Asia<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Jiaolong YANG is a Principal Researcher and Research Manager at the Microsoft Research Asia (MSRA). He specializes in 3D Computer Vision, with research interests that include 3D reconstruction and generative modeling, digital human and AI avatars, and real-time immersive 3D communication. Lately, he is also interested in Embodied AI, delving into the development of foundational action models that are poised to revolutionize robotics with advanced 3D perception. He regularly serves as a program committee member and reviewer for major computer vision conferences and journals, including CVPR, ICCV, ECCV, TPAMI, and IJCV. He also holds the position of Area Chair for CVPR, ICCV, ECCV, WACV, etc.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Before joining MSRA in September 2016, Jiaolong earned dual PhD degrees from The Australian National University (ANU) and Beijing Institute of Technology (BIT) in 2016. He was a research intern at MSRA from November 2015 to March 2016, and a visiting graduate researcher at Harvard University from July 2016 to August 2016. He received the Excellent PhD Thesis Award from China Society of Image and Graphics (CSIG) in 2017, an honor bestowed upon only four recipients in China. He also recieved the Best Paper Award at IEEE VR 2022.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1144091,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2025-msra-startrack-seminars-july-edition\/lily-sun\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/lily-sun-1024x1024.jpg\" alt=\"Lily Sun\" class=\"wp-image-1144091 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jiaoyan\/\"><\/a><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lisu\/\">Lily Sun, Microsoft Research Asia<\/a><\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Lily Sun (\u5b59\u4e3d\u541b) is Director of the Microsoft Research Asia (MSRA) Accelerator Team (previously Outreach Team), where she oversees academic engagement in mainland China, Hong Kong, and Singapore, while driving key accelerator programs, collaborations, and global research collaborative initiatives for MSR Asia. With over a decade of experience at MSRA, Lily has made significant contributions by building high-impact talent cultivation programs, accelerating research partnerships, and amplifying its research leadership and thought leadership across the region.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Lily and her team are responsible for crafting and executing strategies that attract, develop, and retain diverse, high-quality talent for MSR Asia. Their efforts include flagship programs such as the Stars of Tomorrow Internship, StarTrack Young Visiting Scholars Program, Joint PhD Program, StarLeap Program, StarBridge Program, and PhD forums. They also lead research acceleration across themes like the MSR Asia Theory Center, AI for Education, AI for Cultural Heritage, Societal AI, AI for Sustainability, and AI for Healthcare, promoting cross-disciplinary and cross-boundary innovation.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>As a passionate advocate for diversity and inclusion, Lily founded the Microsoft Ada Workshops in 2016, fostering collaboration between academia and industry to empower the next generation of female tech talent. She serves as an executive member of the Women Branch of the China Computer Federation and co-chair of the Women at Microsoft Greater China Region.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Lily holds an M.S. in Engineering and a B.S. in Science from Peking University.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143945,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143945\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-li-zhang.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143945 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lzhani\/?msockid=37e4ae0aca0868273cf5bb0ccb7469ce\"><strong>Li Zhang, Microsoft Research Asia<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>I am currently a senior researcher at Systems and Networking Groups of&nbsp;<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-asia\/\">Microsoft Research Aisa<\/a>. I received my Ph.D. degree from the&nbsp;<a href=\"http:\/\/ustc.edu.cn\/\" target=\"_blank\" rel=\"noreferrer noopener\">University of Science and Technology of China<\/a>&nbsp;(USTC) in 2018. Before that, I received my B.S. degree from USTC in 2013. My research interests lie broadly in AI algorithms. After I joined MSRA, my research focused on inventing novel algorithms for improving AI inference efficiency, which include: (1) compression for pre-trained transformer models and LLMs, and (2) hardware-aware NAS for edge AI.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>These days, I have been deeply interested in exploring and addressing the cutting-edge research problems in LLMs and AGI. A list of topics I\u2019m actively working on and thinking about:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:list -->\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\n<li>Long-context LLM<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<li>LLM self-play<\/li>\n<!-- \/wp:list-item --><\/ul>\n<!-- \/wp:list --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1144730,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2025-msra-startrack-seminars-july-edition\/luo-mai\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/luo-mai.jpg\" alt=\"Luo Mai\" class=\"wp-image-1144730 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/luomai.github.io\/\"><strong>Luo Mai, University of Edinburgh<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Luo Mai is a Lecturer in Data-Centric Systems in the School of Informatics at the University of Edinburgh. He also maintains an honorary affiliation with the department of computing at Imperial College London. Prior, he is a research associate at Imperial College London and a visiting researcher at Microsoft. Luo received his PhD from Imperial College London in 2018. He is the recipient of a prestigious Google PhD fellowship.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Luo\u2019s research interests are at the intersection between distributed systems, machine learning and data management. He has received the Alibaba Innovative Research Award in 2020, Microsoft Azure Research Award in 2018, and Best Open-Source Software Award from ACM Multimedia in 2017<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143946,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2025-msra-startrack-seminars-july-edition\/2025-msra-startrack-seminars-minhui-xie\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-minhui-xie.jpg\" alt=\"Minhui Xie\" class=\"wp-image-1143946 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/minhui-xie.github.io\/\"><strong>Minhui Xie, Renmin University of China<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Minhui Xie is an assistant professor (lecturer) in the Department of Computer Science at Renmin University of China, and a recipient of the Yuzhang Wu Young Talent. He received Ph.D. in Computer Science from Tsinghua University in 2024, where he was advised by Professors Youyou Lu and Jiwu Shu. He obtained his bachelor's degree in Computer Science from Nanjing University in 2019. His research interests lie in machine learning system and storage system, with a focus on building high-performance storage foundations for the next generation of AI (Storage for AI) to meet new storage demands across the AI lifecycle in terms of scalability, cost efficiency, and fault tolerance. He has published over ten papers in top-tier conferences such as SC, EuroSys, USENIX ATC, ASPLOS, SIGMOD, and VLDB. He also serves as a reviewer for various international conferences and journals.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143947,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143947\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-pengshuai-wang.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143947 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.icst.pku.edu.cn\/xztd\/xztd_01\/1359542.htm\"><strong>Pengshuai Wang, Peking University<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Pengshuai Wang is currently an Assistant Professor at Peking University. His research interests include computer graphics, geometry processing, and 3D deep learning. He has published multiple papers at top-tier international conferences such as SIGGRAPH (Asia) and CVPR. His work on octree-based 3D convolutional neural networks (O-CNN) was among the top five most cited papers published in SIGGRAPH (Asia) and ACM Transactions on Graphics (TOG) from 2017 to 2022. He currently serves as an associate editor of the graphics journal Computers &amp; Graphics and as a program committee member for several major international graphics conferences, including SIGGRAPH Asia, Eurographics, SGP, and CVM. He received the Asiagraphics Young Researcher Award in 2023 and the China3DV Excellent Young Researcher Award in 2025.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1068351,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/startrack-zh-cn\/startrack-xing-xie-2\/\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/startrack-xing-xie.jpg\" alt=\"Xing Xie\" class=\"wp-image-1068351 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\"><strong>Xing Xie, Microsoft Research Asia<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Dr. Xing Xie is a Partner Research Manager at Microsoft Research Asia. He received his B.S. and Ph.D. degrees in Computer Science from the University of Science and Technology of China in 1996 and 2001, respectively. Since joining Microsoft Research Asia in July 2001, Dr. Xie has led research in data mining, social computing, and responsible artificial intelligence. His contributions have been widely recognized with numerous prestigious awards, including the IEEE MDM 2023 Test-of-Time Award, ACM SIGKDD 2022 Test-of-Time Award, ACM SIGKDD China 2021 Test-of-Time Award, ACM SIGSPATIAL 2020 10-Year Impact Award (Honorable Mention), and ACM SIGSPATIAL 2019 10-Year Impact Award. Dr. Xie has been invited to deliver keynote speeches at several major conferences, such as DASFAA 2025, MDM 2019, ASONAM 2017, and W2GIS 2011. He currently serves on the editorial boards of ACM Transactions on Social Computing, ACM Transactions on Intelligent Systems and Technology, and CCF Transactions on Pervasive Computing and Interaction. He has also served as Program Co-Chair for a number of top-tier conferences, including ACM UbiComp 2011, PCC 2012, IEEE UIC 2015, SMP 2017, ACM SIGSPATIAL 2021 and 2022, IEEE MDM 2022, and PAKDD 2024. Dr. Xie is a Fellow of the ACM, IEEE, and China Computer Federation.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143948,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143948\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-tong-zhang-1024x1024.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143948 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/people.ucas.ac.cn\/~0081363\"><strong>Tong Zhang, University of Chinese Academy of Sciences<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Tong Zhang received the B.S. degree from Beihang University, Beijing, China, in 2011, and the M.S. degree from New York University, New York, NY, USA, in 2014. He obtained the Ph.D. degree from the Australian National University, Canberra, Australia, in 2020. From 2020 to 2024, he was a postdoctoral researcher at the \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland. He is currently a tenure-track Assistant Professor at the University of Chinese Academy of Sciences (UCAS). He received the Best Student Paper Honorable Mention at ACCV 2016 and was nominated for the Best Paper Award at CVPR 2020. His research interests include representation learning and 3D vision.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143949,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143949\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yihao-chen.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143949 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/fet.tsinghua.edu.cn\/FulltimeResearchers\/183.html\"><strong>Yihao Chen, Tsinghua University<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Dr. Yihao Chen is the Associate Professor at the School of Aerospace Engineering and the National Key Laboratory of Flexible Electronics Technology, Tsinghua University. He received his Ph.D. in Engineering Mechanics from Tsinghua University in 2019 under the supervision of Academician Yonggang Huang and Professor Xue Feng, and was subsequently awarded the Postdoctoral Innovative Talent Support Program. After conducting postdoctoral research at Tsinghua, he briefly served as an Associate Professor at the School of Medical Science and Engineering, Beihang University in early 2022 before returning to Tsinghua as an Associate Professor by year-end. His research focuses on the design, fabrication, and characterization of flexible electronic devices for digital health and intelligent sensing applications. Key innovations include developing medical-grade wearable ECG technology (certified by NMPA) and pioneering the world\u2019s first skin-like noninvasive continuous glucose monitoring system\u2014garnering coverage from over 30 global media outlets and selection for the 2019 Capital Sci-Tech Innovation Achievements Show. He has authored 20+ SCI papers (e.g., Science Advances, IEEE EDL\/TBME), presented 2 EI papers at IEEE IEDM\/EDSSC, and holds 14 authorized invention patents. His honors include the First Prize of the Beijing Natural Science Award and a Gold Medal at the International Exhibition of Inventions of Geneva (both as the third contributor).&nbsp;<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143950,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143950\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yupeng-li.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143950 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/imd.hkbu.edu.hk\/faculty-member\/Dr-Yupeng-LI.html\"><strong>Yupeng Li, Hong Kong Baptist University<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Yupeng Li is with the Department of Interactive Media at Hong Kong Baptist University. He is the director of AI and Social Good Lab, AI Media Centre, and had been an Associate Director (Research and Technology) of HKBU Fact Check. He received his PhD degree at The University of Hong Kong and was a postdoctoral research fellow at the University of Toronto. Dr. Li is interested in trustworthy social computing, network science, and threat-resilient AI. He is excited about <em>interdisciplinary research <\/em>that applies algorithmic techniques to edging problems. His work has been accepted in venues such as WWW, ICA, ToN, TMC, JSAC, Infocom, and ICDCS. Dr. Li was the TPC Co-Chairs for an Interdisciplinary Research Track at ICDCS 2024 and SocialMeta 2023. His work has received outstanding paper awards from CSoNet, Young Consumers Journal, IEEE TSG, MSN, and IWQoS. Dr. Li has led research initiatives and secured several competitive funding for various interdisciplinary research projects. He has been awarded the <em>Rising Star in Social Computing Award<\/em>&nbsp;by Chinese Association for&nbsp;Artificial Intelligence. Dr. Li is a recipient of the <em>President\u2019s Award of HKBU 2025&nbsp;for Outstanding Performance<\/em>.&nbsp;<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143951,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143951\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-yuqing-yang.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143951 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuqyang\/\"><strong>Yuqing Yang, Microsoft Research Asia<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>I am the Principal Research SDE Manager at Microsoft Research Asia, leading the Systems and Engineering Group in Shanghai. My work focuses on advancing large-scale model systems, multimodal systems, and intelligent agents. I specialize in efficient computation techniques, long-context inference, and real-world applications of large language models (LLMs). My research bridges cutting-edge AI innovations with practical applications, with publications in top-tier conferences such as OSDI, SOSP, NeurIPS, EuroSys, ATC, CVPR, ICCV, and etc.. I hold B.S. and Ph.D. degrees from Fudan University, earned in 2006 and 2011, respectively.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>We are currently working on:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:list -->\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\n<li>Resource scheduling and compiling optimization to accelerate the large-scale, sparse, and dynamic DNN models, e.g., the topology-aware GPU scheduler and sparsity compiling stack<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<li>Hardware efficiency (e.g., latency, energy, and carbon footprint) study of diverse DNN models and prediction based automatic efficient model design<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<li>Real time DNN models and systems for cloud gaming and video streaming<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<li>Wireless sensing for Healthcare, Environments, and Human Computer Interaction<\/li>\n<!-- \/wp:list-item --><\/ul>\n<!-- \/wp:list --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143952,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143952\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-zhenghao-chen.png\" alt=\"a person posing for a camera\" class=\"wp-image-1143952 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.newcastle.edu.au\/profile\/zhenghao-chen\"><strong>Zhenghao Chen, The University of Newcastle, Australia<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Dr. Zhenghao Chen is a Faculty Member at The University of Newcastle. He obtained B.Eng. H1 and Ph.D. at the University of Sydney in 2017 and 2022, respectively.&nbsp; He was a Research Engineer at TikTok, a Postdoctoral Research Fellow at the University of Sydney and a Visiting Research Scientist at Microsoft Research and Disney Research. He has been awarded Google Australia Prize, Australia RTP International Fellowship,&nbsp; ACM SIGMM Outstanding Thesis Award, and Microsoft Research StrarTrack Fellowship for his academic merit.&nbsp;<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Dr. Chen's general research interests encompass Computer Vision, Natural Language Processing, and Machine Learning. He is particularly renowned for his expertise in Generative AI, applying his research in both academic and industrial contexts. Dr. Chen has published extensively in flagship AI conferences and journals such as CVPR, ICCV, ECCV, MM, AAAI, ICLR and journals asuch as T-PAMI, T-IP, T-MI, and holds several patents. Additionally, he serves on the Conference Program Committee (PC) for CVPR, ECCV, ICCV, SIGGRAPH, AAAI, IJCAI, MICCAI, MM, KDD and organizes workshops in MM and ICCV. He also acts as a journal reviewer for IJCV, T-IP, T-MI, T-CSVT, PR, and a Guest Editor for MDPI-Algorithms and Frontier-in-AI.&nbsp;<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143953,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143953\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziang-xiao.jpg\" alt=\"a person posing for a camera\" class=\"wp-image-1143953 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.ziangxiao.com\/\"><strong>Ziang Xiao, Johns Hopkins University<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Ziang Xiao is an assistant professor in the Johns Hopkins University\u2019s Department of Computer Science and a member of the Data Science and AI Institute and Hopkins Population Center. His research is motivated by the fundamental question of understanding humans at scale. Through his research, his group aims to understand and create novel technologies to operationalize intuitions and curiosities about how we think and behave. His current research focuses on three topics: AI for social science, human-centered model evaluation, and human information interaction. Broadly, Dr. Xiao\u2019s work lies at the intersection of human computer interaction, natural language processing, and social psychology. He completed his PhD in computer science at the University of Illinois Urbana-Champaign. Before joining Johns Hopkins, Dr. Xiao spent a year in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montreal.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:media-text {\"mediaId\":1143954,\"mediaLink\":\"https:\/\/www.microsoft.com\/en-us\/research\/?attachment_id=1143954\",\"mediaType\":\"image\",\"mediaWidth\":15,\"backgroundColor\":\"\"} -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/07\/2025-msra-startrack-seminars-ziyu-jia.jpg\" alt=\"a man wearing glasses\" class=\"wp-image-1143954 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/ziyujia.github.io\/\"><strong>Ziyu Jia, Institute of Automation of Chinese Academy of Sciences<\/strong><\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Ziyu Jia is an Assistant Professor at the Institute of Automation, Chinese Academy of Sciences. His research focuses on time-series analysis methods and their applications in health and medicine, including multimodal affective computing, sleep stage classification, and brain-computer interfaces. He has published over 50 peer-reviewed papers in venues such as IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia, IEEE Transactions on Neural Systems and Rehabilitation Engineering, KDD, and ICLR. Dr. Jia currently serves as an Associate Editor or Editorial Board Member for prestigious journals including IEEE Transactions on Affective Computing and Information Fusion, and he is an Area Chair for major AI and machine learning conferences such as IJCAI and IJCNN. In addition to his academic contributions, Dr. Jia has extensive industry experience, having successfully led multiple R&amp;D projects and secured several patents.<\/p>\n<!-- \/wp:paragraph --><\/div><\/div>\n<!-- \/wp:media-text -->\n\n<!-- wp:spacer {\"height\":\"50px\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<!-- \/wp:spacer -->\n<!-- \/wp:msr\/content-tab -->\n<!-- \/wp:msr\/content-tabs -->","tab-content":[],"msr_startdate":"2025-07-15","msr_enddate":"2025-07-15","msr_event_time":"","msr_location":"Meeting Room 74, Building 1, Beijing office, Microsoft Research Asia","msr_event_link":"https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR56FpwDO1XJNr8IOr1Jc2g1UNE9KMlkwWTdFNVFSQ0dCSEVRNlpVV1lBOS4u","msr_event_recording_link":"","msr_startdate_formatted":"July 15, 2025","msr_register_text":"Watch now","msr_cta_link":"https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR56FpwDO1XJNr8IOr1Jc2g1UNE9KMlkwWTdFNVFSQ0dCSEVRNlpVV1lBOS4u","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":null,"event_excerpt":"The MSRA StarTrack Seminar Series is designed to promote academic exchange and collaboration between StarTrack Scholars and Microsoft Research Asia (MSRA), encouraging interdisciplinary dialogue and fostering long-term partnerships across research domains. 2025 MSRA StarTrack Seminar will be held offline on July 15 at MSRA Beijing, featuring three major segments that highlight this year\u2019s key themes and areas of inquiry. 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