{"id":381281,"date":"2017-05-04T15:37:02","date_gmt":"2017-05-04T22:37:02","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=381281"},"modified":"2017-10-11T15:33:27","modified_gmt":"2017-10-11T22:33:27","slug":"2017-msra-collaborative-research-projects-announced","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/2017-msra-collaborative-research-projects-announced\/","title":{"rendered":"2017 Microsoft Research Asia collaborative research projects announced"},"content":{"rendered":"<div id=\"attachment_381296\" style=\"width: 460px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-381296\" class=\"wp-image-381296\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/05\/2017_researchhighlight-730x1024.jpg\" alt=\"Collaborative Research program\" width=\"450\" height=\"631\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/05\/2017_researchhighlight-730x1024.jpg 730w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/05\/2017_researchhighlight-214x300.jpg 214w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/05\/2017_researchhighlight-768x1077.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/05\/2017_researchhighlight.jpg 898w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/><p id=\"caption-attachment-381296\" class=\"wp-caption-text\">Through the Collaborative Research program, Winston Hsu (left), professor from National Taiwan University, together with Xing Xie (not pictured), MSRA senior researcher, co-supervised Yin-Hsi Kuo (right), a PhD student from National Taiwan University who proposed a new method on mobile visual search and published the result on IEEE TCSVT, 2016.<\/p><\/div>\n<p>The collaborative research program is a vital platform for research scientists and university professors to work together on advanced technologies with Microsoft Research Asia (MSRA) researchers. This year, the Microsoft Research Asia Outreach team is excited to welcome a total of 48 professors from 26 universities in mainland China, Hong Kong, Taiwan, Singapore, Japan, and Korea to our program, where they will join forces with MSRA researchers to tackle the world\u2019s most pressing challenges.<\/p>\n<p>The program has been designed specifically to:<\/p>\n<ul>\n<li>facilitate close collaboration between professors and MSRA researchers,<\/li>\n<li>reflect the research interest and priority of the researchers, and<\/li>\n<li>facilitate active engagement of our partner professors.<\/li>\n<\/ul>\n<p>The goal of the collaborative research program is to enable open collaboration through advanced open-source tools and development platforms from Microsoft.<\/p>\n<p>As Microsoft CEO Satya Nadella put it, \u201cNow is the time for greater coordination and collaboration in AI.\u201d More than 90% of the selected projects in 2017 are on AI and AI-related areas, including machine learning, integrative intelligence, visual description, deep neural networks, and so on. Through the collaborative research program, professors are working together with our researchers on fundamental AI technologies (e.g., in the form of human-parity cognitive capabilities) and driving breakthroughs in the application of AI technologies. Tao Mei, senior researcher from MSRA, will once again join forces with Kyoung-Mu, professor from Seoul National University on \u201cDeep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring.\u201d Zhiyuan Liu, associate professor from Tsinghua University, will explore new ideas on \u201cNeural Text Generation of Human-Level News Articles,\u201d together with Ming Zhou, principal researcher of MSRA.<\/p>\n<p>Over the years, this program has had profound impacts on academic research in the region. As one indication of influence, more than 300 publications in top-tier international journals and conferences have acknowledged the program and the support from MSRA.<\/p>\n<p>MSRA is committed to the collaborative research program over the long haul. We are also committed to the mission of facilitating the exchange of ideas and research results, collaborations, and talent cultivation through such programs. Together, we will make significant impacts on the society through technology.<\/p>\n<h3>2017 projects and participants<\/h3>\n<p><strong>Attractiveness-aware Image Enrichment using Deep Neural Networks<br \/>\n<\/strong>Toshihiko Yamasaki, The University of Tokyo<\/p>\n<p><strong>Autonomous Vision Task Fulfilling with Multi-agent Policy Learning<br \/>\n<\/strong>Yizhou Wang, Peking University<\/p>\n<p><strong>A Deep Learning-based Zero-training BCI System for People with Physical Challenges<br \/>\n<\/strong>Seong-Whan Lee, Korea University<\/p>\n<p><strong>Automatic Mental Disorder Prediction through Joint Deep Analysis of Visual, Vocal, and Textual Data<br \/>\n<\/strong>Di Huang, Peking University<\/p>\n<p><strong>Capture of Mechanical Functionality with an RGBD Camera<br \/>\n<\/strong>Tianjia Shao, Zhejiang University<\/p>\n<p><strong>Colla, a Chatbot, Empowers Communication and Collaboration among Members in Communities<br \/>\n<\/strong>Lei Chen, The Hong Kong University of Science and Technology<\/p>\n<p><strong>Complementing Kinect in Underwater Environments:\u00a0 Passive Stereo for 3D Sensing using Infrared Light Absorption<br \/>\n<\/strong>Yinqiang Zheng, National Institute of Informatics<\/p>\n<p><strong>Computer-aided Diagnosis for Breast Sonography on Microsoft Azure Cloud Services<br \/>\n<\/strong>Pai-Chi Li, National Taiwan University<\/p>\n<p><strong>Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring<br \/>\n<\/strong>Kyoung-Mu Lee, Seoul National University<\/p>\n<p><strong>Development of Distributed Alignment Algorithm for Next-generation Sequencing Data<br \/>\n<\/strong>Lipin Wei, Peking University<\/p>\n<p><strong>Develop Technologies and Design Principles to Enable Robots to Engage Naturally in Human Society<br \/>\n<\/strong>Junsong Yuan, Nanyang Technological University<\/p>\n<p><strong>Distributed Stochastic Learning of Nonconvex Learning Models<br \/>\n<\/strong>James Kwok, The Hong Kong University of Science and Technology<\/p>\n<p><strong>Digital Longmen Project: Interactive AR Exhibition with Archaeology-inspired Restoration<br \/>\n<\/strong>Hongbin Zha, Peking University<\/p>\n<p><strong>Dense and Accurate 3D Mapping System for Mobile Robot with Laser Range Sensors<br \/>\n<\/strong>Takeshi Oishi, The University of Tokyo<\/p>\n<p><strong>Developing a Cloud Service to Handle Initial Interactions between Human and Service Robot<br \/>\n<\/strong>Masayuki Inaba, The University of Tokyo<\/p>\n<p><strong>Development of the Autonomous Flight Technique of a Drone for Transportation of Objects using a Manipulator-equipped Drone and Object Recognition<br \/>\n<\/strong>JinBae Park, Yonsei University<\/p>\n<p><strong>Efficient Symbolic Analysis of Complex Numerically Intensive Program<br \/>\n<\/strong>Lei Bu, Nanjing University<\/p>\n<p><strong>Efficient Cloud-based Urban Data Management\/Analytic Platform<br \/>\n<\/strong>Bin Yao, Shanghai Jiaotong University<\/p>\n<p><strong>Efficient Deep Learning Algorithms for Human Language Big Data<br \/>\n<\/strong>Andrew Liu, Chinese University of Hong Kong<\/p>\n<p><strong>Efficient Query Processing over Knowledge Graphs<br \/>\n<\/strong>Zhaonian Zou, Harbin Institute of Technology<\/p>\n<p><strong>Global Land Cover Mapping based on Visual Descriptors<br \/>\n<\/strong>Yuqi Bai, Tsinghua University<\/p>\n<p><strong>Games2Lang: Semantic Grounding of Games, Statistics, and Languages<br \/>\n<\/strong>Seung-Won Hwang, Yonsei University<\/p>\n<p><strong>Holo-Heritage: Dunhuang Cultural Heritage Conservation Research and Development based on Microsoft HoloLens<br \/>\n<\/strong>Jiawan Zhang, Tianjin University<\/p>\n<p><strong>Human Stampede Analysis and Prevention<br \/>\n<\/strong>Xuejin Chen, University of Science and Technology of China<\/p>\n<p><strong>Inter-network Traffic Flow Control in Urban Area based on Reinforcement Learning<br \/>\n<\/strong>Hwasoo Yeo, Korea Advanced Institute of Science and Technology<\/p>\n<p><strong>Large-Scale 5D Semantic Mapping of Traffic Scene for Autonomous Driving<br \/>\n<\/strong>Jianru Xue, Xi\u2019an Jiaotong University<\/p>\n<p><strong>Machine Learning for Urban Computing<br \/>\n<\/strong>Yu-Feng Li, Nanjing University<\/p>\n<p><strong>Multi-Task Joint Deep Learning for Multi-Scale Part-Aware Pedestrian Semantic Analysis<br \/>\n<\/strong>Xi Li, Zhejiang University<\/p>\n<p><strong>Multi-cue Joint Representation and Discriminative Learning for Object Tracking in Camera Intelligence<br \/>\n<\/strong>Feng Jiang, Harbin Institute of Technology<\/p>\n<p><strong>Modeling Chinese-accented Non-native English Speech for Mispronunciation Detection and Diagnosis<br \/>\n<\/strong>Helen Meng, Chinese University of Hong Kong<\/p>\n<p><strong>Neural Text Generation of Human-Level News Articles<br \/>\n<\/strong>Zhiyuan Liu, Tsinghua University<\/p>\n<p><strong>Netizen-Style Commenting for Fashion Photos: Autonomous, Diverse, and Cognitive<br \/>\n<\/strong>Winston Hsu, National Taiwan University<\/p>\n<p><strong>Poetizing by Playing<br \/>\n<\/strong>Yingqing Xu, Tsinghua University<\/p>\n<p><strong>Personalizable Learning Algorithm for Gesture Interface<br \/>\n<\/strong>Sangyoun Lee, Yonsei University<\/p>\n<p><strong>Quantum Artificial Intelligence<br \/>\n<\/strong>Zheng-Jun Zha, University of Science and Technology of China<\/p>\n<p><strong>Remote Health and Medical Aide via Skeleton Action Forecast and Detection<br \/>\n<\/strong>Jiaying Liu, Peking University<\/p>\n<p><strong>Recognizing Phrasal Entailments using Image Groundings<br \/>\n<\/strong>Pascual Martinez Gomez\/Dan Han, The National Institute of Advanced Industrial Science and Technology<\/p>\n<p><strong>Read, Look, and Say: Question-oriented Multi-scale Attention Network<br \/>\n<\/strong>Hyeran Byun, Yonsei University<\/p>\n<p><strong>Residual Neural Network Architecture Optimization through Submodularity and Supermodularity<br \/>\n<\/strong>Changshui Zhang, Tsinghua University<\/p>\n<p><strong>Sentiment-aware Utterance Generation for Conversation Systems<br \/>\n<\/strong>Yuki Arase, Osaka University<\/p>\n<p><strong>Sentence Generation based on Integration of Various Observations<br \/>\n<\/strong>Koichiro Yoshino, Nara Institute of Science and Technology<\/p>\n<p><strong>Tackling IoT Visibility and Interoperability Issues through Protocol Behavior Analysis<br \/>\n<\/strong>Dongsu Han, Korea Advanced Institute of Science and Technology<\/p>\n<p><strong>Treatment of Alcohol Dependence using Neurofeedback and Chat Bot<br \/>\n<\/strong>Jing LI, University of Science and Technology of China<\/p>\n<p><strong>Understanding and Optimization of Cloud Resource Utilization on Dynamic Resources<br \/>\n<\/strong>Bingsheng He, National University of Singapore<\/p>\n<p><strong>Visual Description<br \/>\n<\/strong>Changsheng Xu, Chinese Academy of Science Institute of Automation<\/p>\n<p><strong>WheelLoc: Centimeter-Level Localization for Vehicles<br \/>\n<\/strong>Linghe Kong, Shanghai Jiaotong University<\/p>\n<p><strong>Wireless Power Transmission for Wearable Electronics<br \/>\n<\/strong>Yoshihiko Kawahara, The University of Tokyo<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The collaborative research program is a vital platform for research scientists and university professors to work together on advanced technologies with Microsoft Research Asia (MSRA) researchers. This year, the Microsoft Research Asia Outreach team is excited to welcome a total of 48 professors from 26 universities in mainland China, Hong Kong, Taiwan, Singapore, Japan, and Korea to our program, where they will join forces with MSRA researchers to tackle the world\u2019s most pressing challenges.<\/p>\n","protected":false},"author":39507,"featured_media":381314,"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-381281","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\/381281"}],"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\/39507"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/381281\/revisions"}],"predecessor-version":[{"id":432075,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/381281\/revisions\/432075"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/381314"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=381281"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=381281"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=381281"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}