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 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.
“MSRA is committed to open collaborative research with academia,” said Dr. Tim Pan, Senior Director of Microsoft Research Asia Outreach. “By 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.”
If you have questions, please contact us by email at msrarfp@microsoft.com. Thank you.
2019 Awarded Projects and Awardees (In alphabetical order by awardee’s last name)
Identifying Personas Using Video Analytics
Rajesh BALAN, Singapore Management University
Explainable Unseen Image Generation for Generalized Zero-Shot Learning
Hyeran BYUN, Yonsei University
Neural Machine Translation with Image Region Pivoted Comparable Sentences
Chenhui CHU, Osaka University
Artificial Intelligence in Rehabilitation
Yubo FAN, Beihang university
Causality Understanding in Video
Bohyung HAN, Seoul National University
Conversational Question Answering from Unstructured Data
Minlie HUANG, Tsinghua University
Non-factoid Question Answering as Grounded Question-guided Summarization
Seung-won HWANG, Yonsei University
Weakly Supervised Video Object Segmentation
Xiangyang JI, Tsinghua University
Development of automatic Labanotation estimation system from video using Deep Learning
Hiroshi KAWASAKI, Kyushu University
High-Quality Texture Reconstruction for Real-Time 3D Scanning from RGB-D input
Min H. KIM, KAIST
Distributed Low-Precision Learning of Neural Machine Translation
James Tin-Yau KWOK, The Hong Kong University of Science and Technology
Deep Reinforcement Learning for the Transfer from Simulation to the Real World with Uncertainties for AI Curling Robot System
Seong-Whan LEE, Korea University
Immersive biology – an interactive microscope system for informal biology education
Seung Ah LEE, Yonsei University
3D Caricature Generation
Seungyong LEE, POSTECH
Robust and Efficient System Architecture for AI Applications with Effective Path
Jingwen LENG, Shanghai Jiao Tong University
Disentangled Feature Learning for Natural Language
Shou-De LIN, National Taiwan University
Intelligent Medical Aide via Multi-Modal Video/Image Analytics
Jiaying LIU, Peking University
Facial Attribute Editing and Transfer Based on GANs
Si LIU, Beihang University
Automated Test Case Generation from User Review for Mobile Applications
Ting LIU, Xi’an Jiaotong University
On-Device Mobile Edge AI with Better Performance and Privacy
Xuanzhe LIU, Peking University
Correlation-robust analysis in stochastic optimization and mechanism design
Pinyan LU, Shanghai University of Finance and Economics
Improving the Efficiency of Distributed Persistent Memory Systems with Emerging High-Performance Hardware
Youyou LU, Tsinghua University
Inter-learner shadowing framework for comprehensibility-based assessment of learners’ speech
Nobuaki MINEMATSU, The University of Tokyo
Blockchain-Enabled Incentive and Trading Mechanism Design for AIoT Service Platform
Ai-Chun PANG, National Taiwan University
Food recognition and health management for standardized canteen
Xueming QIAN, Xi’an Jiaotong University
Intuitive Design of Information Graphics for the Masses
Huamin QU, The Hong Kong University of Science and Technology
Leveraging Acoustic Dispersion for Ubiquitous Touch Interface on Solid Surfaces
Insik SHIN, KAIST
Labanotation-Based Human Motion Recognition from Videos and Automatic Robot Programming
Jun TAKAMATSU, Nara Institute of Science and Technology
Automated Neural Architecture Construction with OpenPAI
Mingkui TAN, South China University of Technology
Graph-structured Knowledge Base Management and Applications
Hongzhi WANG, Harbin Institute of Technology
Heterogeneous Person Re-identification
Yang Wu / Zheng Wang, Nara Institute of Science and Technology / National Institute of Informatics
Minimizing Network Footprint in Distributed Deep Learning
Hong XU, City University of Hong Kong
Event-driven Emphemeral Social Network: Estimation, Prediction and Application
Tong XU, University of Science and Technology of China
Numerical/quantitative system for common sense natural language processing
Hiroaki YAMANE, RIKEN AIP & The University of Tokyo
Sensorless Sensing with WiFi
Zheng YANG, Tsinghua University
General Dynamic Regret for Online Learning
Lijun ZHANG, Nanjing University
Interpreting Neural Networks for Natural Language Processing
Quanshi ZHANG, Shanghai Jiao Tong University
Research on Deep Learning Framework for Julia
Yu ZHANG, University of Science and Technology of China
Early Action Prediction by Knowledge Distillation
Wei-Shi ZHENG, Sun Yat-sen University
Scalable and Inductive Graph Representation Learning on Large Knowledge Graphs
Lei ZOU, Peking University