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。”
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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