{"id":554931,"date":"2018-12-03T02:23:38","date_gmt":"2018-12-03T10:23:38","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=554931"},"modified":"2020-10-26T21:10:22","modified_gmt":"2020-10-27T04:10:22","slug":"msra-collaborative-research-2019-grant-awards-announcement","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/msra-collaborative-research-2019-grant-awards-announcement\/","title":{"rendered":"MSRA Collaborative Research 2019 Grant Awards Announcement"},"content":{"rendered":"

\"\"<\/p>\n

Microsoft Research Asia (MSRA) Collaborative Research Program is a vital platform for faculty members in Asia working together with MSRA researchers on mutually interested topics. We aspire to foster talents and establish Microsoft as a valuable research and technology partner for higher education in Asia.<\/p>\n

Since the announcement of Call for Proposals<\/a> in mid-July, there has been a large number of submissions. MSRA Collaborative Research Program Committee carefully reviewed them based on the state-of-the-art and common research interests. Now we are pleased to announce 40 awards. The awardees are from 26 universities and institutes in China mainland, Hong Kong, Taiwan, Japan, Korea and Singapore.<\/p>\n

\u201cMSRA is committed to open collaborative research with academia,\u201d said Dr. Tim Pan, Senior Director of Microsoft Research Asia Outreach. \u201cBy the joint force of MSRA and academia, we believe that each of the grants will advance research and inspire innovations to be shared broadly. We look forward to presenting our collaborative projects at Microsoft Research events.\u201d<\/p>\n

If you have questions, please contact us by email at msrarfp@microsoft.com<\/a>. Thank you.<\/p>\n

2019 Awarded Projects and Awardees (In alphabetical order by awardee\u2019s last name)<\/h3>\n

Identifying Personas Using Video Analytics<\/strong><\/p>\n

Rajesh BALAN, Singapore Management University<\/p>\n

Explainable Unseen Image Generation for Generalized Zero-Shot Learning<\/strong><\/p>\n

Hyeran BYUN, Yonsei University<\/p>\n

Neural Machine Translation with Image Region Pivoted Comparable Sentences<\/strong><\/p>\n

Chenhui CHU, Osaka University<\/p>\n

Artificial Intelligence in Rehabilitation<\/strong><\/p>\n

Yubo FAN, Beihang university<\/p>\n

Causality Understanding in Video<\/strong><\/p>\n

Bohyung HAN, Seoul National University<\/p>\n

Conversational Question Answering from Unstructured Data<\/strong><\/p>\n

Minlie HUANG, Tsinghua University<\/p>\n

Non-factoid Question Answering as Grounded Question-guided Summarization<\/strong><\/p>\n

Seung-won HWANG, Yonsei University<\/p>\n

Weakly Supervised Video Object Segmentation<\/strong><\/p>\n

Xiangyang JI, Tsinghua University<\/p>\n

Development of automatic Labanotation estimation system from video using Deep Learning<\/strong><\/p>\n

Hiroshi KAWASAKI, Kyushu University<\/p>\n

High-Quality Texture Reconstruction for Real-Time 3D Scanning from RGB-D input<\/strong><\/p>\n

Min H. KIM, KAIST<\/p>\n

Distributed Low-Precision Learning of Neural Machine Translation<\/strong><\/p>\n

James Tin-Yau KWOK, The Hong Kong University of Science and Technology<\/p>\n

Deep Reinforcement Learning for the Transfer from Simulation to the Real World with Uncertainties for AI Curling Robot System<\/strong><\/p>\n

Seong-Whan LEE, Korea University<\/p>\n

Immersive biology – an interactive microscope system for informal biology education<\/strong><\/p>\n

Seung Ah LEE, Yonsei University<\/p>\n

3D Caricature Generation<\/strong><\/p>\n

Seungyong LEE, POSTECH<\/p>\n

Robust and Efficient System Architecture for AI Applications with Effective Path<\/strong><\/p>\n

Jingwen LENG, Shanghai Jiao Tong University<\/p>\n

Disentangled Feature Learning for Natural Language<\/strong><\/p>\n

Shou-De LIN, National Taiwan University<\/p>\n

Intelligent Medical Aide via Multi-Modal Video\/Image Analytics<\/strong><\/p>\n

Jiaying LIU, Peking University<\/p>\n

Facial Attribute Editing and Transfer Based on GANs<\/strong><\/p>\n

Si LIU, Beihang University<\/p>\n

Automated Test Case Generation from User Review for Mobile Applications<\/strong><\/p>\n

Ting LIU, Xi’an Jiaotong University<\/p>\n

On-Device Mobile Edge AI with Better Performance and Privacy<\/strong><\/p>\n

Xuanzhe LIU, Peking University<\/p>\n

Correlation-robust analysis in stochastic optimization and mechanism design<\/strong><\/p>\n

Pinyan LU, Shanghai University of Finance and Economics<\/p>\n

Improving the Efficiency of Distributed Persistent Memory Systems with Emerging High-Performance Hardware<\/strong><\/p>\n

Youyou LU, Tsinghua University<\/p>\n

Inter-learner shadowing framework for comprehensibility-based assessment of learners\u2019 speech<\/strong><\/p>\n

Nobuaki MINEMATSU, The University of Tokyo<\/p>\n

Blockchain-Enabled Incentive and Trading Mechanism Design for AIoT Service Platform<\/strong><\/p>\n

Ai-Chun PANG, National Taiwan University<\/p>\n

Food recognition and health management for standardized canteen<\/strong><\/p>\n

Xueming QIAN, Xi’an Jiaotong University<\/p>\n

Intuitive Design of Information Graphics for the Masses<\/strong><\/p>\n

Huamin QU, The Hong Kong University of Science and Technology<\/p>\n

Leveraging Acoustic Dispersion for Ubiquitous Touch Interface on Solid Surfaces<\/strong><\/p>\n

Insik SHIN, KAIST<\/p>\n

Labanotation-Based Human Motion Recognition from Videos and Automatic Robot Programming<\/strong><\/p>\n

Jun TAKAMATSU, Nara Institute of Science and Technology<\/p>\n

Automated Neural Architecture Construction with OpenPAI<\/strong><\/p>\n

Mingkui TAN, South China University of Technology<\/p>\n

Graph-structured Knowledge Base Management and Applications<\/strong><\/p>\n

Hongzhi WANG, Harbin Institute of Technology<\/p>\n

Heterogeneous Person Re-identification<\/strong><\/p>\n

Yang Wu \/ Zheng Wang, Nara Institute of Science and Technology \/ National Institute of Informatics<\/p>\n

Minimizing Network Footprint in Distributed Deep Learning<\/strong><\/p>\n

Hong XU, City University of Hong Kong<\/p>\n

Event-driven Emphemeral Social Network: Estimation, Prediction and Application<\/strong><\/p>\n

Tong XU, University of Science and Technology of China<\/p>\n

Numerical\/quantitative system for common sense natural language processing<\/strong><\/p>\n

Hiroaki YAMANE, RIKEN AIP & The University of Tokyo<\/p>\n

Sensorless Sensing with WiFi<\/strong><\/p>\n

Zheng YANG, Tsinghua University<\/p>\n

General Dynamic Regret for Online Learning<\/strong><\/p>\n

Lijun ZHANG, Nanjing University<\/p>\n

Interpreting Neural Networks for Natural Language Processing<\/strong><\/p>\n

Quanshi ZHANG, Shanghai Jiao Tong University<\/p>\n

Research on Deep Learning Framework for Julia<\/strong><\/p>\n

Yu ZHANG, University of Science and Technology of China<\/p>\n

Early Action Prediction by Knowledge Distillation <\/strong><\/p>\n

Wei-Shi ZHENG, Sun Yat-sen University<\/p>\n

Scalable and Inductive Graph Representation Learning on Large Knowledge Graphs<\/strong><\/p>\n

Lei ZOU, Peking University<\/p>\n

\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft Research Asia (MSRA) Collaborative Research Program is a vital platform for faculty members in Asia working together with MSRA researchers on mutually interested topics. We aspire to foster talents and establish Microsoft as a valuable research and technology partner for higher education in Asia. Since the announcement of Call for Proposals in mid-July, there […]<\/p>\n","protected":false},"author":34512,"featured_media":554934,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"msr-content-parent":199560,"footnotes":""},"research-area":[],"msr-locale":[268875],"class_list":["post-554931","msr-blog-post","type-msr-blog-post","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_assoc_parent":{"id":199560,"type":"lab"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/554931"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-blog-post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/34512"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/554931\/revisions"}],"predecessor-version":[{"id":554964,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/554931\/revisions\/554964"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/554934"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=554931"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=554931"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=554931"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}