{"id":815140,"date":"2019-05-24T03:43:00","date_gmt":"2019-05-24T10:43:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&#038;p=815140"},"modified":"2024-11-18T00:00:32","modified_gmt":"2024-11-18T08:00:32","slug":"msr-asia-shanghai","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/msr-asia-shanghai\/","title":{"rendered":"Microsoft Research Asia &#8211; Shanghai"},"content":{"rendered":"\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-3 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-2 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\"><section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background-catalina-blue card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1440\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-scaled.jpg\" class=\"attachment-full size-full\" alt=\"a large body of water with a city in the background\" style=\"object-position: 4% 45%\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-scaled.jpg 2560w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-1536x864.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-2048x1152.jpg 2048w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-240x135.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-scaled-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-scaled-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/04\/MSRA-SH-2-1920x1080.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 align-self-center\">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h2 class=\"wp-block-heading\" id=\"microsoft-research-asia-shanghai\">Microsoft Research Asia &#8211; Shanghai<\/h2>\n\n\n\n<p><\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\n<p>The goal of research on <em>Microsoft Research Asia &#8211; Shanghai<\/em> (MSRA Shanghai) is to design advanced algorithms and systems to help solve cutting-edge challenges closely related to our life. The research in this area cares about the accessing of ubiquitous signals with diverse sensing approaches, the information extraction and mining through advanced signal processing and machine learning algorithms, and technologies that builds efficient computing and sensing systems on the cloud and edge. &nbsp;The algorithms and systems could help to solve the big challenges we face in healthcare, biology, and sustainability.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research-topics\">Research Topics<\/h3>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"wireless-sensing-and-networking\">Wireless Sensing and Networking<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Wireless sensing for next generation Human Computer Interaction (HCI)<\/li>\n\n\n\n<li>Sensing and other technology for healthcare and environmental monitoring<\/li>\n\n\n\n<li>5G\/6G wireless communication<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"advanced-machine-learning\">Advanced Machine Learning<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bio-inspired neural network for general-purpose machine learning<\/li>\n\n\n\n<li>Graph neural network for temporal dynamics, interpretability, and anomaly detection<\/li>\n\n\n\n<li>Computer vision for vector graphics, ensemble learning, and domain adaptation\/generalization<\/li>\n\n\n\n<li>Sequential learning, reinforcement learning and decision making for real-world applications<\/li>\n\n\n\n<li>Fundamental technologies for language generation and domain-specific NLP applications<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"machine-learning-for-healthcare\">Machine Learning for Healthcare<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Speech recognition for patients with speech pathology<\/li>\n\n\n\n<li>Baby brain seizure detection using EEG signals<\/li>\n\n\n\n<li>Bio-medical knowledge graph learning for biomedicine and pharmacotherapy<\/li>\n\n\n\n<li>Machine learning for transcriptomics and genomics sequences<\/li>\n\n\n\n<li>Unsupervised stereotypical behavior detection for Autism<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"video-streaming-and-cloud-gaming-systems\">Video Streaming and Cloud Gaming Systems<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real-time video super resolution and frame prediction <\/li>\n\n\n\n<li>Systematic optimization of video encoding, transmission, and DNN-based video enhancement<\/li>\n\n\n\n<li>Server-client cooperation to mitigate bandwidth-limited and quality-unreliable network<\/li>\n\n\n\n<li>Fundamental technologies of cloud gaming systems, such as job and resource scheduling<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"efficient-computing-for-emerging-technologies\">Efficient Computing for Emerging Technologies<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI infrastructure technologies, e.g., Kubernetes GPU schedulers and platform for deep learning workloads<\/li>\n\n\n\n<li>Accelerate the training and inference of diverse models (e.g., sparse and dynamic models) on the cloud and the edge<\/li>\n\n\n\n<li>Hardware efficiency (latency, energy, and carbon emission) benchmarking, prediction, and efficient model design for specific devices<\/li>\n\n\n\n<li>New architecture for vector search and resource disaggregation<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"want-to-drop-by\">Want to drop by?<\/h3>\n\n\n\n<p>Unit 4301-4304 AI Tower, No.701 Yunjin Rd, Xuhui District, Shanghai, 200232, China<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"we-re-hiring\">We&#8217;re hiring<a id=\"_msocom_1\"><\/a><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/jobs.careers.microsoft.com\/global\/en\/job\/1587240\/Researcher-(Industry-hire-all-level)---Microsoft-Research-Asia\">Researcher (Industry hire all levels)<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n\n\n\n<li>Visiting Researcher (for professors on sabbatical)<\/li>\n\n\n\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.msra.cn\/zh-cn\/jobs?wd&city=%25e4%25b8%258a%25e6%25b5%25b7&language=chinese&job-type=internship\">Intern<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (internship to students currently in China)<\/li>\n<\/ul>\n\n\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-4 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;flex-basis:33%\">\n<p><strong>Wireless Communication and Sensing Group<\/strong><\/p>\n\n\n\n<p><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;flex-basis:33%\">\n<p><strong>System and Engineering Group<\/strong><\/p>\n\n\n\n<p>The <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/sh-sys-eng-group\/\">Shanghai System and Engineering group<\/a> develops efficient technologies for emerging compute-intensive tasks such as artificial intelligence and live video streaming.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;flex-basis:33%\">\n<p><strong>AI\/ML Group<\/strong><\/p>\n\n\n\n<p>The&nbsp;<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/shanghai-ai-ml-group\/\">Shanghai AI\/ML Group<\/a>&nbsp;from MSRA Shanghai focuses on research areas related to machine learning and its application.<\/p>\n<\/div>\n<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>The goal of research on Microsoft Research Asia &#8211; Shanghai (MSRA Shanghai) is to design advanced algorithms and systems to help solve cutting-edge challenges closely related to our life. The research in this area cares about the accessing of ubiquitous signals with diverse sensing approaches, the information extraction and mining through advanced signal processing and [&hellip;]<\/p>\n","protected":false},"featured_media":816619,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"2018-09-17","footnotes":""},"research-area":[13556,13547],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-815140","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-systems-and-networking","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"2018-09-17","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199560,1012650],"related-researchers":[{"type":"user_nicename","display_name":"Lili Qiu","user_id":41320,"people_section":"Section name 0","alias":"liliqiu"},{"type":"user_nicename","display_name":"Dongsheng Li","user_id":39402,"people_section":"Section name 0","alias":"dongsli"},{"type":"user_nicename","display_name":"Yuqing Yang","user_id":40654,"people_section":"Section name 0","alias":"yuqyang"},{"type":"user_nicename","display_name":"Caihua Shan","user_id":41638,"people_section":"Section name 0","alias":"caihuashan"},{"type":"user_nicename","display_name":"Chengruidong Zhang","user_id":42018,"people_section":"Section name 0","alias":"chengzhang"},{"type":"user_nicename","display_name":"Donglin Bai","user_id":41536,"people_section":"Section name 0","alias":"donglinbai"},{"type":"user_nicename","display_name":"Guoxin Sui","user_id":41566,"people_section":"Section name 0","alias":"gusui"},{"type":"user_nicename","display_name":"Huiqiang Jiang","user_id":40807,"people_section":"Section name 0","alias":"hjiang"},{"type":"user_nicename","display_name":"Jiahang Xu","user_id":41569,"people_section":"Section name 0","alias":"jiahangxu"},{"type":"user_nicename","display_name":"Kaitao Song","user_id":40615,"people_section":"Section name 0","alias":"kaitaosong"},{"type":"user_nicename","display_name":"Luna K. Qiu","user_id":41353,"people_section":"Section name 0","alias":"lunaqiu"},{"type":"user_nicename","display_name":"Nan Chen","user_id":42033,"people_section":"Section name 0","alias":"nanchen"},{"type":"user_nicename","display_name":"Siyun Zhao","user_id":42009,"people_section":"Section name 0","alias":"siyunzhao"},{"type":"user_nicename","display_name":"Xufang Luo","user_id":40324,"people_section":"Section name 0","alias":"xufluo"},{"type":"user_nicename","display_name":"Yansen Wang","user_id":41380,"people_section":"Section name 0","alias":"yansenwang"},{"type":"user_nicename","display_name":"Yifan Yang","user_id":41539,"people_section":"Section name 0","alias":"yifanyang"},{"type":"user_nicename","display_name":"Yuge Zhang","user_id":41659,"people_section":"Section name 0","alias":"yugzhan"},{"type":"user_nicename","display_name":"Zhiyuan He","user_id":41743,"people_section":"Section name 0","alias":"zhiyuhe"},{"type":"user_nicename","display_name":"Yifei Shen","user_id":42399,"people_section":"Section name 0","alias":"yifeishen"}],"related-publications":[853383,981918,817681,917304,850681,948474,854295,1016619,817699,927366,850687,948483,854772,1053816,832549,927375,850708,948489,700303,858267,1053831,832648,941109,850732,948495,700309,861978,1054143,838177,941397,850762,948510,748264,861993,1054164,838207,944742,850780,948516,768424,861999,1068621,838267,945174,850795,974562,781060,863736,1091028,838288,948051,850807,975066,796795,863748,1101885,840871,948447,852558,978312,797428,867018,1103358,847507,948459,853242,979644,800047,895065,847543,948468],"related-downloads":[1057272],"related-videos":[],"related-projects":[],"related-events":[],"related-opportunities":[1059501],"related-posts":[],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/815140"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":94,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/815140\/revisions"}],"predecessor-version":[{"id":1105020,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/815140\/revisions\/1105020"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/816619"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=815140"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=815140"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=815140"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=815140"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=815140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}