微软亚洲研究院 2018 联合研究项目资助名单正式发布

以共同推动科技前沿创新,联合培养一流研究型人才为目标,微软亚洲研究院推出联合研究合作计划,支持亚洲地区高校和研究机构的学者与微软亚洲研究院研究员就双方感兴趣的研究课题展开深入合作。

自今年七月联合研究项目征集发布以来,该计划得到亚洲地区诸多学者的积极响应。从创新性和共同研究兴趣等角度,微软亚洲研究院联合研究项目评审委员会对收到的项目提案进行了认真的评审。最终,来自中国大陆、香港、台湾、日本、韩国和新加坡 35 所高校和研究机构的 62 个项目获得微软亚洲研究院 2018 联合研究项目资助

微软亚洲研究院副院长潘天佑博士向获得资助的学者表示祝贺。潘天佑博士表示:“微软亚洲研究院自成立以来始终坚持与学术界开展开放的联合研究,我们相信每一个获得资助的项目都有机会取得重大的研究进展和创新成果。2018 年将迎来微软亚洲研究院成立二十周年,我热切期待在我们的庆祝活动中展示我们和学术界合作的丰硕成果。”

如有疑问,请联系:msrarfp@microsoft.com


微软亚洲研究院2018联合研究项目资助名单

CUBLOCK, A Community-united Blockchain Platform

Lei Chen, The Hong Kong University ofScience and Technology

Knowledge Powered Deep Visual Understanding

Xilin Chen/Ruiping Wang, Institute of Computing Technology, Chinese Academy of Sciences

StyleMe: An AI Fashion Consultant for Personal Shopping and Style Advice

Wen-Huang Cheng, Academia Sinica

Automatic Debugging via Leveraging Bug-Inducing Changes

Shing-Chi Cheung, The Hong KongUniversity of Science and Technology

Combining fMRI and Cortical Electrodes with Real-Time ZCA-Based Hybrid Neural NetworkDeep Learning Hardware Accelerator to Decode Human Sensorimotor Cortex forTemporal-Spatial Speech Articulation

Herming Chiueh, National Chiao Tung University

Unsupervised Object Discovery and Embedding via Deep Reinforcement Learning

Minsu Cho, POSTECH

Interactive Steering of Outputs of Deep Neural Networks via Dual Learning

Jaegul Choo, Korea University

The End-to-End Framework for Online/Offline Handwritten Math Equation Recognition

Jun Du, University of Science and Technology of China

Anamorphosis-based Naked-eye Stereoscopic Display with Application to Immersive Analytics for Individuals

Issei Fujishiro, Keio University

Developmentof 3D Capsule Endoscopic System

Ryo Furukawa, Hirhoshima City University

3D Medical Image Segmentation by Multimodal Deep Neural Networks

Winston Hsu, National Taiwan University

Graph Neural Networks for 3D Face Anti-Spoofing

Wei Hu, Peking University

Securing Key-Value Stores with Hardware Trusted Execution Environments

Jaehyuk Huh, KAIST

Question Answering over Long-term Document Archives

Adam Jatowt, Kyoto University

Phase-awareend-to-end text-to-speech system

Hong-Goo Kang, Yonsei University

Hierarchical Prototypical Networks for Learning Discriminative Features and Unsupervised Clustering

Gunhee Kim, Seoul National University

Learning-based, Context-aware Data Management Framework

Jong Kim, POSTECH

Capturing Intrinsic Material Appearance via Spectro-Polarimetric 3D Imaging

Min H. Kim, KAIST

Researchon Theory and Technology of Hybrid Intelligence of Human-Robot Collaboration Based on Cognitive Computing

Xuguang Lan, Xi'an Jiaotong University

Automated Modeling and Vulnerability Detection of IoT Protocol

Heejo Lee, Korea University

Learning Theory for Statistical Mixtures and Multi-Armed Bandits

Jian Li, Tsinghua University

Complex Matching between Images

Zhouchen Lin, Peking University

The Research on Graph-based Entity Linking Approach

Ming Liu, Harbin Institute of Technology

Explainable Machine Learning with Interactive Visualization

Shixia Liu, Tsinghua University

Locality Sensitive Hashing for Nearest Neighbor Search on Heterogeneous Data

Xianglong Liu, Beihang University

Information Exploration on Large Graphs via Random-walk Based Online Learning Algorithms

John C.S. Lui, The Chinese University of Hong Kong

Intelligent User Review Mining for App Development

Michael R. Lyu, The Chinese Universityof Hong Kong

Cryptography-basedSecurity Solutions for Internet of Things

Atsuko Miyaji, Osaka University

Marker-lessBody Motion Analysis Using Distributed High-speed Cameras

Takashi Miyaki, The University of Tokyo

Creative Reconstruction of Natural Language Text via Degenerate Semantics: with a Particular Focus on Sentence Compression and Summarization

Tadashi Nomoto, National Institute of Japanese Literature

Data-Driven Concolic Testing

Hakjoo Oh, Korea University

Learning to Explore for Deep Reinforcement Learning through Hashing

Sinno Jialin Pan, Nanyang TechnologicalUniversity

Crowd-flow: Discovering and Inferring Crowd Transportation Modes via Cellular Data

Wen-Chih Peng, National Chiao Tung University

Reconstructing the World with Consumer Cameras!

Long Quan, The Hong Kong University of Science and Technology

Hololens Based Active Deep Learning for 3D Biomedical Imaging Analysis

Imari Sato, National Institute ofInformatics

Tactoglasses: Eyeglass-type Tactile Information Display Using Higher-level Psychological Perception

Hideyuki Sawada, Waseda University

TouchSurface: Supporting Touch User Interface with Sound on Any Surface

Insik Shin, KAIST

Explainable Machine Learning

Hang Su/Jun Zhu/Bo Zhang, TsinghuaUniversity

Research on Quantum Computing in Theory and Experiments

Guangzhong Sun, University of Scienceand Technology of China

Automatic Storytelling of 360-degrees Videos

Min Sun, National Tsing Hua University

New Models and Algorithms for Sequence to Sequence Learning

Liwei Wang, Peking University

Establishment and Application of High Accuracy Facial Model and Corresponding Skull Database

Yongtian Wang/Yue Liu/Dongdong Weng, Beijing Institute of Technology

A Method for Controlling Human Hearing by Editing the Frequency of the Sound in RealTime

Hiroki Watanabe, Hokkaido University

Optimizing Quality of Experience (QoE) for Adaptive Bitrate Streaming via Deep Video Analytics

Yonggang Wen, Nanyang Technological University

A Framework for Implementing GPU-based Virtualized Network Functions

Chuan Wu, The University of Hong Kong

Artificial Intelligence Open Source Eco-System Construction

Feng Wu/Xinwei Zheng/Haifeng Liu, University of Science and Technology of China

Enhancing NF Compatibility by State-Manageable NF Development

Wenfei Wu, Tsinghua University

Optimal Location Selection with Visual Analytics

Yingcai Wu, Zhejiang University

AI-inspired Brain Big Data Processing and Analysis

Zhiwei Xiong/Feng Wu, University of Science and Technology of China

A Mobile Edge Platform Offering Deep Learning Services to Nearby Mobile Clients

Fengyuan Xu, Nanjing University

Cross-modality Medical Image Generation with Image-to-image Translation Network

Yan Xu, Beihang University

Towards Multi-Turn Conversational System between Human and Computer in Open-Domain:Context Modeling, Diversity Enhancement and Personalization

Rui Yan, Peking University

Deep Learning-based Anti-spoofing and Adversarial Spoofing Attacks

Sungroh Yoon, Seoul National University

Findingthe Hidden DNA of Geographical Regions Using Deep Learning

Yong Yu, Shanghai Jiao Tong University

Efficient Deep Neural Networks for Realistic Noise Removal and Beyond

Huanjing Yue, Tianjin University

Enrich Deep Modeling of User Information for Heterogeneous Explainable Recommendation

Min Zhang, Tsinghua University

Deep Representation Learning for Person Re-Identification

Shiliang Zhang, Peking University

Adversarial Training for Discrete Sequence Data Generation

Weinan Zhang, Shanghai Jiao tongUniversity

Multi-sensor Based Screen-Centric Human Computer Interaction

Xin Zhang/Lianwen Jin, South China University of Technology

Stochastic Second Order Methods and Application in Machine Learning

Zhihua Zhang, Peking University

Machine Reading Comprehension via Hierarchical Reasoning Network Learning

Zhou Zhao, Zhejiang University

English Grammar Consistency Detector for MT Output Based on Deep Neural Networks with Grammar Rules

Conghui Zhu, Harbin Institute ofTechnology


原文链接:https://mp.weixin.qq.com/s/_19hUNLQcRymqpylj7VVUg


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