Microsoft Research Asia Symposium on Collaborative Research

Hailong Cao received his PhD from Harbin Institute of Technology (HIT) on 2006. Now he is a lecturer in HIT, the Machine Intelligence and Translation Lab (MITLAB). He is focusing on the teaching and research about natural language processing (NLP). He is interested in machine translation and syntactic parsing and other areas as well. His papers appeared on ACL, COLING and EMNLP etc.

Liang Jeff Chen is commonly referred to as Jeff in his professional career. Jeff is a member of Cloud & Mobile Research Group. He is generally interested in data management and also worked on text search and ranking before. Most recently, He becomes a system researcher and build NoSQL systems that use SQL databases as core engines. The long term goal is to bridge the fundamental gap between NoSQL challenges and fast-evolving SQL technologies, so that the efforts we invest today are as long lived as SQL for many years to come. Jeff obtained BS and MS from Tsinghua University, and PhD from UC San Diego.

Hong Cheng is a full professor of University of Electronic Science and Technology of China (UESTC), school of Automation and Engineering. He serves as an executive director of the Center for Robotics since 2014. He was a visiting scholar at School of Computer Science, Carnegie Mellon University, USA from 2006 to 2009. Before this, he received his Ph.D degree in Pattern Recognition and Intelligent Systems from Xi’ an Jiaotong University in 2003 and became an associate Professor of Xi’ an Jiaotong University since 2005. He joined UESTC since 2010. His current research interests include machine learning in human robot hybrid systems. Prof. Cheng has over 100 academic publications including three books- “Digital Signal Processing (Tsinghua University Press, Sep. 2007)”, “Autonomous Intelligent Vehicles: Theory, Algorithms and Implementation (Springer, Dec. He served/is serving as a General Chair of VALSE 2015, Program Chair of CCPR 2016, and a General Chair for CCSR 2016. Now, he is a senior member of IEEE.

Jun Du received the B.Eng. and Ph.D. degrees from University of Science and Technology of China (USTC), in 2004 and 2009, respectively. From July 2009 to June 2010, he worked with iFlytek Research on speech recognition. From July 2010 to January 2013, he joined MSRA as an Associate Researcher, working on handwriting recognition, OCR, and speech recognition. Since February 2013, he has been with the National Engineering Laboratory for Speech and Language Information Processing of USTC as an Associate Professor. His research interests include speech signal processing and pattern recognition.

Minyi Guo is currently Zhiyuan Chair professor and chair of the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), China. Before joined SJTU, Dr. Guo had been a professor of the school of computer science and engineering, University of Aizu, Japan. Dr. Guo received the national science fund for distinguished young scholars from NSFC in 2007, and was supported by “1000 recruitment program of China” in 2010. His present research interests include parallel/distributed computing, compiler optimizations, embedded systems, pervasive computing, and cloud computing. He has more than 300 publications in major journals and international conferences in these areas. He is now on the editorial board of IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing. Dr. Guo is a senior member of IEEE.

Chengchen Hu received the Ph.D. degree from Tsinghua University, Beijing, China, in 2008. Now, he is a professor and the head of Department of Computer Science and Technology in XJTU. He is recipient of a fellowship from the European Research Consortium for Informatics and Mathematics (ERCIM), Microsoft “Star-Track” Young Faculty Program, New Century Excellent Talents in University awarded by Ministry of Education, China. Chengchen Hu’s main research interests include network measurement, cloud data center networking, software defined networking.

My name is Haipeng Zhang. I’m currently a master student in PASA Big Data Lab at Nanjing University led by Prof. Yihua Huang. My research interests focus on big data parallel processing and recommendation algorithms. I have researched on deep learning for recommendation algorithms and system during my internship at Microsoft Research Asia from 07/2016 to 01/2017.

Yu-Gang Jiang is a Professor in School of Computer Science and Vice Director of Shanghai Engineering Research Center for Video Technology and System at Fudan University, China. His Lab for Big Video Data Analytics conducts research on all aspects of extracting high-level information from big video data, such as video event recognition, object/scene recognition and large-scale visual search. He is the lead architect of a few best-performing video analytic systems in worldwide competitions such as the annual U.S. NIST TRECVID evaluation. His visual concept detector library (VIREO-374) and video datasets (e.g., CCV and FCVID) are widely used resources in the research community. His work has led to many awards, including “emerging leader in multimedia” award from IBM T.J. Watson Research in 2009, early career faculty award from Intel and China Computer Federation in 2013, the 2014 ACM China Rising Star Award, and the 2015 ACM SIGMM Rising Star Award.

Weiyao Lin received the B.E. degree from Shanghai Jiao Tong University, China, in 2003, the M.E. degree from Shanghai Jiao Tong University, China, in 2005, and the Ph.D degree from the University of Washington, Seattle, USA, in 2010, all in electrical engineering. He is currently an Associate Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China. He has authored or coauthored 90+ technical papers on top journals/conferences including TPAMI, TIP, TCSVT, IJCV, CVPR, ACM MM, and ICCV. He holds 10 patents and has 10+ under reviewing patents. His research interests include video surveillance, video-based motion analysis, video compression & coding, and image/video processing applications.

Zhouchen Lin received the Ph.D. degree in applied mathematics from Peking University in 2000. He is currently a Professor with the Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University. His research areas include computer vision, image processing, machine learning, pattern recognition, and numerical optimization. He is an Area Chair of the CVPR 2014/2016, the ICCV 2015, and the NIPS 2015, and a Senior Program Committee Member of the AAAI 2016/2017 and the IJCAI 2016. He is an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and the International Journal of Computer Vision. He is an IAPR Fellow.

Xuanzhe Liu is now an associate professor of the Institute of Software, Peking University. He was a visiting researcher with Microsoft Research (with “Star-Track Young Faculty Program”) from 2013-2014 and the winner of Microsoft Fellowship in 2007. He is now directing the SAAS (Systems, Applications, Analytics, and Services) research group Peking University. His recent research interests are focused on the software systems and engineering approaches for mobility and the Web, mostly from a data-driven perspective. My current projects cover the topics from measurement and performance evaluation of mobile systems/web browsers, data-driven modeling and machine-learning based analytics of user behavior/interactions, and so on. He has published over 60 referred papers at premier conferences such as WWW/ICSE/ OOPSLA/UbiComp/IMC and high-impact journals such as ACM TOIS/TOIT and IEEE TSE/TMC/TSC.

Bao-Liang Lu received the Ph.D. degree in electrical engineering from Kyoto University, Kyoto, Japan, in 1994. From April 1994 to March 1999, He was a Frontier Researcher at the Bio-Mimetic Control Research Center, the Institute of Physical and Chemical Research (RIKEN), Japan. From April 1999 to August 2002, he joined the RIKEN Brain Science Institute, Japan, as a research scientist. Since August 2002, he has been a full professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. He has been an adjunct professor of the Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine since 2005. His research interests include brain-like computing, neural network, machine learning, brain-computer interface and affect computing. He was the past President of the Asia Pacific Neural Network Assembly (APNNA) and the general Chair of the 18th International Conference on Neural Information Processing(ICONIP2011). He is Associate Editors of the Neural Networks and IEEE Transactions on Cognitive and Developmental Systems, and a senior member of the IEEE. He is the directors of the Center for Brain-Like Computing and Machine Intelligence and the Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University.

Dr. Jiwen Lu is currently an associate professor with the Department of Automation, Tsinghua University, China. His current research interests include computer vision, pattern recognition, and machine learning. He has authored/co-authored over 150 scientific papers in these areas, including 41 IEEE Transactions papers and 22 ICCV/CVPR/ECCV papers. He serves/has served as an Associate Editor of Pattern Recognition Letters, Neurocomputing, the IEEE Access, a Guest Editor of five journals including Pattern Recognition, Computer Vision and Image Understanding, and Image and Vision Computing. He is/was a Workshop Chair, Special Session Chair, or Area Chair for more than 10 international conferences.

Short bio Qi Liu is an Associate Professor in University of Science and Technology of China (USTC). His general area of research is data mining and knowledge discovery. He has published prolifically in refereed journals and conference proceedings, e.g., TKDE, TOIS, TKDD, TIST, KDD, IJCAI, AAAI, ICDM, SDM and CIKM. Dr. Liu is the recipient of the ICDM 2011 Best Research Paper Award, the Best of SDM 2015 Award, the Special Prize of President Scholarship for Postgraduate Students, Chinese Academy of Sciences (CAS) and the Distinguished Doctoral Dissertation Award of CAS.

Xueming Qian (M’10) received the B.S. and M.S. degrees in Xi’an University of Technology, Xi’an, China, in 1999 and 2004, respectively, and the Ph.D. degree in the School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China, in 2008, after that he was an assistant professor. He was an associate professor from Nov. 2011 to March 2014, and now he was a full professor. He was awarded Microsoft fellowship in 2006. He was awarded outstanding doctoral dissertations of Xi’an Jiaotong University and Shaanxi Province in 2010 and 2011 respectively. He is the director of SMILES LAB. He was a visit scholar at Microsoft research Asia from Aug. 2010 to March 2011. His research interests include social media big data mining and search. His research is supported by NSFC, Microsoft Research, and MOST.

Shuai Ma is a full professor in the School of Computer Science and Engineering, Beihang University, China. He obtained two PhD degrees: University of Edinburgh in 2010 and Peking University in 2004, respectively. His research interests include database theory and systems, and he has published a number of papers in top conferences (SIMGOD, VLDB, ICDE, WWW, ICDM, MobiCom, USENIX ATC, WSDM) and journals (TODS, VLDB J, TKDE, TCS). He is a recipient of the best paper award of VLDB 2010, the best challenge paper award of WISE 2013, the National Science Fund of China for Excellent Young Scholars in 2013, and , and the second place in the final ranking of WSDM CUP 2016.

Dr. Guangyu Sun received his B.S. and M.S degrees from Tsinghua University, Beijing, in 2003 and 2006, respectively. He received his Ph.D. degree in Computer Science from the Pennsylvania State University in 2011. He joined the faculty of Center for Energy-Efficient Computing and Applications (CECA), School of EECS at Peking University from August 2011. His research interests include computer architecture, storage systems, and application-specific accelerator design.

Jian Sun received Ph.D. in applied mathematics from Xi’an Jiaotong University in 2009. Now he worked as a professor in School of Mathematics and Statistics, Xi’an Jiaotong University. He focuses on the research of mathematical modeling in natural and medical image analysis. He worked as a visiting student in MSRA from 2015 to 2018, a postdoctoral researcher in INRIA and ENS from 2012 to 2014. He is a recipient of “the National Science Fund for Excellent Young Scholars” (优青).

Haisheng Tan is currently an associate professor in School of Computer Science and Technology at University of Science and Technology of China (USTC), Hefei, China. He received his B.E. degree in Software Engineering (with the highest honor) and B.S. degree in Management both from USTC. Then, he got his Ph.D. degree in computer science at the University of Hong Kong (HKU) in 2011. After that, he was a postdoctoral fellow in Prof. Andrew Yao’s group at Tsinghua University, Beijing. His research interests include algorithms and networking, mainly in the areas of wireless networking, data center networks and cloud computing. Dr. Tan has published over 30 papers in prestigious journals and conferences including theoretical journals as TCS, JOCO, IPL, and networking conferences as ACM MobiHoc and IEEE INFOCOM. For more information, please visit his webpage http://staff.ustc.edu.cn/~hstan.

AMiner is the second generation of the ArnetMiner system. We focus on developing author-centric analytic and mining tools for gaining a deep understanding of the large and heterogeneous networks formed by authors, papers, venues, and knowledge concepts. One fundamental goal is how to extract and integrate semantics from different sources. We have developed algorithms to automatically extract researchers’ profiles from the Web and resolve the name ambiguity problem, and connect different professional networks. We also developed methodologies to incorporate knowledge from the Wikipedia and other sources into the system to bridge the gap between network science and the web mining research. In this talk, I will focus on answering two fundamental questions for author-centric network analysis: who is who? and who are similar to each other? The system has been in operation since 2006 and has collected more than 100,000,000 author profiles, 200,000,000 publication papers, and 7,800,000 knowledge concepts. It has been widely used for collaboration recommendation, similarity analysis, and community evolution.

Feng Xiong is a first year doctoral candidate at Harbin Institute of Technology. He also received both bachelor and master degree in computer science at Harbin Institute of Technology. His current research interests include big data computation, data quality management and big data analysis.

Jiao Wang received the Ph.D. degree in Pattern Recognition and Intelligent System from Northeastern University in 2006. He is now a professor in College of Information Science and Engineering, Northeastern university. His main re-search focuses on hardware computing and computer games.

Yu Wang received his B.S. degree in 2002 and Ph.D. degree (with honor) in 2007 from Tsinghua University, Beijing. He is currently an associate professor with the Department of Electronic Engineering, Tsinghua University, Beijing. His research interests include parallel circuit analysis, application specific hardware computing (especially on the brain related problems), and power/reliability aware system design methodology. Dr. Wang has authored and coauthored over 150 papers in refereed journals and conferences. He is the recipient of IBM X10 Faculty Award in 2010, the Best Paper Award in ISFPGA 2017, ISVLSI 2012, and 8 Best Paper Nominations in ASPDAC/CODES/ISLPED. He serves as the associate editor for IEEE Trans. CAD, Journal of Circuits, Systems, and Computers. He is the TPC Co-Chair of ICFPT 2011, finance chair of ISLPED 2012∼2015, and serves as TPC member in many important conferences (DAC, FPGA, DATE, ASPDAC, ISLPED, ISQED, ICFPT, ISVLSI, etc.).

Liwei Wang is a professor of School of Electronics Engineering and Computer Sciences, Peking University. His research interest is machine learning. He was named among “AI’s 10 to Watch” in 2010.

Xinbing Wang received the B.S. degree (with hons.) in Automation from Shanghai Jiao Tong University, Shanghai, China, in 1998, the M.S. degree in computer science and technology from Tsinghua University, Beijing, China, in 2001, and the Ph.D. degree with a major in electrical and computer engineering and minor in mathematics from North Carolina State University, Raleigh, in 2006. Currently, he is a Professor in the Department of Electronic Engineering, and Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China. Dr. Wang has been an Associate Editor for IEEE/ACM Transactions on Networking,IEEE Transactions on Mobile Computing, and ACM Transactions on Sensor Networks. He has also been the Technical Program Committees of several conferences including ACM MobiCom 2012,2014, ACM MobiHoc 2012-2017, IEEE INFOCOM 2009-2017.

Dongdong Weng achieved his bachelor degree at Beijing Institute of Technology in 2001, and he achieved his Ph.D. degree at Beijing Institute of Technology in 2006. He worked in School of Optoelectronics at Beijing Institute of Technology from 2006. Until now, he is the associate research fellow and doctoral tutor of School of Optoelectronics in Beijing Institute of Technology. His research interest is focused on augmented reality, virtual reality and human-computer interaction. He has published more than 50 papers and instructed more than 30 graduates.

Yingcai Wu is a National Youth-1000 scholar and a ZJU100 Young Professor at the State Key Lab of CAD & CG, Zhejiang University. He obtained his Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology (HKUST). Prior to his current position, Yingcai Wu was a researcher in the Microsoft Research Asia, Beijing, China from 2012 to 2015, and a postdoctoral researcher in the University of California, Davis from 2010 to 2012.His main research interests are in visual analytics, information visualization, and human computer interaction, with focuses on urban computing, social media analysis, text visualization, and behavior analysis. He has published more than 50 refereed papers and his three papers have been awarded Honorable Mention at IEEE VIS (SciVis) 2009, IEEE VIS (VAST) 2014, and IEEE PacificVis 2016.For more information, visit www.ycwu.org

Yuanbin Wu is currently an assistant professor at Computer Science Department, East China Normal University. Before joining ECNU, he got both B.S. (2007) and Ph.D (2012) from Fudan University, and worked as a research fellow at National University of Singapore (2013). Yuanbin’s research interests include question answering, information extraction and structured prediction algorithms in NLP.

陈英和博士，教授，博士生导师，北京师范大学心理学部发展心理研究院副院长。所在学科为发展与教育心理学，具体研究领域为儿童认知展，近年来的研究兴趣：儿童认知策略、数认知、元认知、工作记忆、表征、情绪认知和心理理论（TOM）等。

An Associate Professor from the State Key Lab of Virtual Reality Technology and Systems and the School of New Media Art & Design, Beihang University. From 2014 to 2015, he was a Visiting Researcher with Institute for Creative Technologies, University of Southern California. Over the past years, his research interests include appearance modeling, hand pose estimation, face modeling etc. He has authored and co-authored more than 25 scientific articles, including Graphics Interface, SGP, ACCV, VRST etc.

时永霞，研究员，信息网络中心，主要研究领域：教学数字化、远程教育、计算机教学及网络平台管理.

Dr. Yang Yu is an Associate Professor in the Department of Computer Science, Nanjing University, China. His research interest is in artificial intelligence, mainly on reinforcement learning, ensemble learning, and evolutionary computation for learning. His work has been published in Artificial Intelligence, IJCAI, AAAI, KDD, NIPS, ICDM, etc. He has been granted several awards such as the National Outstanding Doctoral Dissertation Award of China, and the best paper award of IDEAL’16, GECCO’11, PAKDD’08. He is/was a Senior PC member of IJCAI’15/17, a Publicity Chair of IJCAI’16/17 and IEEE ICDM’16, a Workshop Chair of ACML’16.

Dr. Zhiwen Yu is currently a professor of the School of Computer Science, Northwestern Polytechnical University, P. R. China. He also serves as the director of the Department of Discipline Construction. He received his B.Eng, M.Eng and Ph.D. degree of Engineering in computer science and technology in 2000, 2003 and 2005 respectively from the Northwestern Polytechnical University. He has worked as a research fellow at the Academic Center for Computing and Media Studies, Kyoto University, Japan from Feb. 2007 to Jan. 2009, and a post-doctoral researcher at the Information Technology Center, Nagoya University, Japan in 2006-2007. He has been a visiting researcher at the Context-Aware Systems Department, Institute for Infocomm Research (I2R), Singapore from Sep. 2004 to May 2005. He has been an Alexander von Humboldt Fellow at the Mannheim University, Germany from Nov. 2009 to Oct. 2010.

He is the associate editor or editorial board of IEEE Transactions on Human-Machine Systems, IEEE Communications Magazine, ACM/Springer Personal and Ubiquitous Computing (PUC), Entertainment Computing (Elsevier), and International Journal of Social Network Mining (IJSNM, Inderscience). He serves as the guest editor of ACM Transactions on Intelligent Systems and Technology, ACM Multimedia Systems Journal, Multimedia Tools and Applications (Springer), Pervasive and Mobile Computing (Elsevier), and Cybernetics and Systems (Taylor & Francis). He is the General Chair of the 8th IEEE International Conference on Cyber, Physical, and Social Computing (CPSCom 2015), and the 11th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2014). He is the Program Chair of the 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2013), the 5th International Conference on Human-Centric Computing (HumanCom 2012), and the 7th International Conference on Ubiquitous Intelligence and Computing (UIC 2010). He serves as Vice Program Chair of the 13th IEEE International Conference on Pervasive Computing and Communications (PerCom 2015), the Workshop Chair of the 13th ACM International Conference on Ubiquitous Computing (UbiComp 2011), and the Publicity Chair of the Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2013/2010). He has also served as PC member for a number of conferences, e.g., ACM Multimedia, IJCAI, IEEE PerCom, DEXA, GLOBECOM, ICC, ICME, IEEE CCNC, Euro-Par, MobiQuitous, etc.

Dr. Yu has published around 130 scientific papers in refereed journals and conferences, e.g., ACM Computing Surveys, IEEE TKDE, IEEE TMC, IEEE THMS, ACM TKDD, INFOCOM, UbiComp, PerCom, etc. His research interests cover pervasive computing, context-aware systems, human-computer interaction, mobile social networks, and personalization. Zhiwen Yu is a senior member of IEEE, a member of ACM, a distinguished member of CCF (China Computer Federation) and a senior member of CCF Pervasive Computing Technical Committee. He received the Young Teacher Award founded by Fok Ying Tong Education Foundation in 2014, the CCF Young Scientist Award in 2011, the CPSCom’13/GPC’12/AMT’12/UIC’09 Best Paper Award, the Humboldt Fellowship in 2008, and the CCF Excellent Doctoral Dissertation Award in 2006.

Lan Zhang received her Bachelor degree (2007) in School of Software at Tsinghua University, China, and her Ph.D. degree (2014) in the department of Computer Science and Technology, Tsinghua University, China. She received 2015 ACM China Doctoral Dissertation Award (1/2 nationally) and CCF Outstanding Doctoral Dissertation Award (1/10 nationally). She is currently a researcher at the School of Computer Science and Technology, at University of Science and Technology of China. Her research interests span mobile computing, privacy protection, and data understanding. She has published 29 conference and journal papers, including 4 ACM MobiCom papers, 5 IEEE INFOCOM papers, etc. She has applied 3 United States patents and 17 Chinese patents, and 9 of them have been granted. She will be or has been TPC member of IEEE INFCOM 2018，IEEE ICC 2017, IEEE MASS 2017, MSN 2016, IEEE IPCCC 2016, IEEE DCOSS 2015, etc.

He received his PhD from Sun Yat-sen University in 1988. He was promoted a full professor of South China University of Technology. He joined RIKEN Brain Science Institute, Japan as research scientist in 1997. He now is a tenured professor of Shanghai Jiao Tong University. His research interests include computational theory for cortical networks, brain–computer interface, statistical learning and inference.

Dr. Xin Zhang received her B.S. degree in automatic engineering from Northwestern Polytechnical University, and the M.S. and Ph. D. degree in electrical engineering from Oklahoma State University, U.S. She is the Associate Professor in the School of Electronic and Information Engineering, South China University of Technology (SCUT). Her research interests include computer vision, image processing and machine learning. Dr. Zhang has published over 20 articles in journals, books, and conferences. She has also severed as the regular reviewer for many international conferences and journals.

Zhaoxiang Zhang received the B.S. degree in electronic science and technology from the University of Science and Technology of China, in 2004, and the Ph.D. degree in pattern recognition and intelligent systems from the Institute of Automation, Chinese Academy of Sciences, in 2009. In 2009, he joined the School of Computer Science and Engineering, Beihang University, as an Assistant Professor and then an Associate Professor. In 2015, he joined the Institute of Automation, Chinese Academy of Sciences, as a Full Professor. Specifically, he is recently focusing on brain-inspired vision and humanlike learning. He has published around 80 papers in reputable journals and conferences. His research interests include computer vision, pattern recognition, and machine learning. He is the Associate Editor of Neurocomputing, involved on the Editorial Board of the Frontiers of Computer Science, the Program Committee Member of over ten international conferences, and the Reviewer of over 20 international journals. He has been granted several awards, including the MOE New Century Excellent Talents and the Beijing Youth Talents.

张志华 北京大学数学科学学院教授，北京大数据研究院教授。之前曾经先后任教于上海交通大学和浙江大学。主要从事于统计机器学习与人工智能领域的研究和教学。是国际机器学习刊物JMLR的执行编委，并多次受邀担任国际人工智能顶级学术会议的程序委员或高级程序委员。其网络公开课“统计机器学习”和“机器学习导论”受到广泛关注，迄今为止访问量已超过50万次。

Zhou Zhao received the Ph.D. degrees in computer science from the Hong Kong University of Science and Technology (HKUST)in 2015. He is currently an associate professor with the College of Computer Science, Zhejiang University. His research interests include machine learning, data mining and natural language processing.

Jun Zhu is an Associate Professor at Department of Computer Science and Technology, Tsinghua University, and an Adjunct Faculty at Machine Learning Department, Carnegie Mellon University. His research interests lie in developing scalable machine learning methods to understand complex scientific and engineering data. Dr. Zhu has published over 80 peer-reviewed papers in the prestigious conferences and journals. He is an Associate Editor for IEEE Trans. on PAMI and Artificial Intelligence. He served as Area Chair for ICML, NIPS, UAI, IJCAI and AAAI. He was a local chair of ICML 2014. He is a recipient of the IEEE Intelligent Systems “AI’s 10 to Watch” Award, NSFC Excellent Young Scholar Award, CCF Young Scientist Award, and CVIC SE Talents Award. His work is supported by the National “Ten Thousands Talents” Program for Outstanding Young Scholars and Tsinghua “221 Basic Research Plan for Young Talents”.

Fuzhen Zhuang is an associate professor in the Institute of Computing Technology, Chinese Academy of Sciences. His research interests include transfer learning, multi-task learning, recommender systems, data mining, parallel classification and clustering. He has published more than 70 papers in some prestigious refereed journals and conference proceedings, such as IEEE TKDE, IEEE TOC, Information Sciences, IJCAI, AAAI, IEEE ICDE, WWW, ACM CIKM, ACM WSDM, SIAM SDM and IEEE ICDM. His papers about transfer learning have been selected as the best paper candidates in SDM 2010 and CIKM 2010. He is the recipient of the Doctoral Dissertation Award, Chinese Association for Artificial Intelligence; he wins the champion of data mining competition in IJCAI 2015.