Vision And Learning Seminar - Apr. 19-20, 2014, Qingdao

耿新博士，现为东南大学计算机科学与工程学院副院长、副研究员、博导。分别于2001年和2004年在南京大学计算机科学与技术系获理学学士学位和工学硕士学位，2008年获得澳大利亚Deakin大学博士学位。主要研究兴趣包括机器学习、模式识别、计算机视觉。近年来，在这些领域发表各类学术论文30余篇。现为中国人工智能学会机器学习专委会委员、江苏省计算机学会人工智能专委会常务委员、江苏省微型电脑应用协会人工智能专委会常务委员。

黄昌兵，中国科学院心理研究所研究员，中国科学院百人计划入选者。2006年获中国科学技术大学生物物理与神经生物学博士学位，2007至2011年在美国南加州大学心理学系从事博士后研究。主要采用计算建模、心理物理学和成像等技术手段多角度研究双眼信息整合与功能平衡、知觉学习与可塑性、视觉功能调控、信息表征与记忆、弱视/老年等视觉功能退损的机制与恢复途径等理论和实际问题。在PNAS、Current Biology和JOV等杂志发表论文近20篇。

Liang Lin is a full Professor with the School of Supercomputing, Sun Yat-Sen University (SYSU), China. He received the B.S. and Ph.D. degrees from the Beijing Institute of Technology (BIT), Beijing, China, in 1999 and 2008, respectively. From 2006 to 2007, he was a joint Ph.D. student with the Department of Statistics, University of California, Los Angeles (UCLA). He was a Post-Doctoral Research Fellow with the Center for Vision, Cognition, Learning, and Art of UCLA. He received several academic honors, including China National Excellent PhD Thesis Award Nomination in 2010, Best Paper Runners-Up Award in ACM NPAR 2010, and Google Faculty Award in 2012. He was also awarded by the “Program for New Century Excellent Talents” of Ministry of Education (China) in 2012, and the Guangdong Natural Science Funds for Distinguished Young Scholars in 2013. His current research interests are on the interface of computational models for vision, statistical learning and computing, and multimedia processing. He has authored or co-authored over 60 academic papers over a wide range of research topics. He fulfills review duties for more than 20 journals and various conferences including IEEE TPAMI, IEEE TIP, IEEE TCSVT, IEEE TMM, IJCV, Neurocomputing, PR, CVPR, ICCV, and ICPR.

卢湖川，教授，博导，现为大连理工大学信息与通信工程学院副院长，1995年，1998年于大连理工大学电子系获得学士和硕士学位，2008年于大连理工大学获得系统工程博士学位。目前担任IEEE Transaction on SMC Part B副编辑，IEEE Senior Member. 主要研究领域为目标跟踪，显著性目标检测，姿态识别等。迄今已在国际/国内期刊、国际会议上发表/录用学术论文100余篇，其中计算机视觉领域一流国际会议(CVPR, ICCV)和国际顶级期刊IEEE T-IP/T-CSVT论文20余篇。在ICCV2011上获得Most Remembered Poster, 在ICIP2012上获得Best Student Paper Award Finalist.

Yi Ma was born in Sichuan Province, China. He received Bachelors degree in Automation and Applied Mathematics from Tsinghua University, Beijing, China, in 1995. He received an Master degree in Electrical Engineering and Computer Sciences (EECS) in 1997, a second Master degree in Mathematics in 2000, and the Ph.D. degree in EECS in 2000, all from the University of California at Berkeley. From 2000 to 2011, he served as a tenured associated professor of the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, where he now holds an Adjunct Professorship. He also serves as a research associate professor both in the Decision & Control Group of the Coordinated Science Laboratory and in the Image Formation & Processing Group of the Beckman Institute. He was a visiting senior researcher at the Microsoft Research Asia, Beijing, China in fall 2006 and a visiting professor at EECS Department of UC Berkeley in spring 2007. Since January 2009, he has served as research manager for the Visual Computing Group at Microsoft Research Asia, Beijing, China. From January 2012, he also holds a Guest Professorship at the Univeristy of Science and Technology of China. He has served as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) from 2007 to 2011. He has also served as the chief guest editor for special issues for the Proceedings of IEEE and the IEEE Signal Processing Magazine in 2010 and 2011. He currently serves as the associate editors for the IEEE Transactions on Information Theory, the International Journal of Computer Vision (IJCV), the IMA Journal on Information and Inference, and the SIAM Journal on Imaging Sciences. He serves as an Area Chair for NIPS 2011 and ICCV 2011 (Spain), and will be the Program Chair for ICCV 2013 (Australia), and General Chair for ICCV 2015 (Chile).

山世光，博士，研究员，博士生导师。分别于1997年和1999年在哈尔滨工业大学计算机系获得学士和硕士学位；2004年在中科院计算所获计算机应用专业博士学位。主要从事计算机视觉、模式识别、机器学习等相关研究工作。已在国际/国内期刊、国际会议上发表/录用学术论文150余篇，其中IEEE Trans. on PAMI, IEEE Trans. on Image Processing等国际期刊论文40余篇，计算机视觉领域一流国际会议(CVPR, ICCV, ECCV)论文30余篇。Google scholar总引用4900余次。现任国际刊物IEEE Trans. on Image Processing, Neurocomputing, IPSJ T on CVA和EURASIP Journal of Image and Video Processing的编委(AE)，Frontiers of Computer Science的青年编委，曾担任国际期刊IJPRAI、PRL专刊的客座编辑(Guest Editor)，应邀担任了ICPR2014, ICASSP2014, FG2013, ICPR2012, ACCV2012, ICCV2011的Area Chair职务，ACCV2014的Workshop Chair, ACM ICMI2010的Local Chair。与博士生王瑞平合作完成的有关流形到流形距离的论文获CVPR2008 Best Student Poster Award Runner-up。所参与完成的人脸识别研究成果2005年度国家科技进步二等奖（第3完成人）。2008年度中国科学院卢嘉锡青年人才奖获得者。2009年度北京市科技新星获得者。2009年获首届Scopus寻找未来科学之星银奖。2012年获得基金委“优青”支持。

吴飞，浙江大学计算机学院教授、博士生导师。主要研究领域为多媒体计算理论、稀疏表达与统计学习等。浙江大学人工智能研究所副所长、视觉感知教育部-微软重点实验室（浙江大学）副主任。教育部新世纪优秀人才支持计划入选者（2011年度）、浙江省151人才工程第二层次培养人员（2012年）。
在浙江大学新星计划资助下，于2009年10月至2010年8月在美国加州大学伯克利分校统计系郁彬（Bin Yu）教授课题组做访问学者。

Dong Xu received the B.Eng. and PhD degrees from University of Science and Technology of China, in 2001 and 2005, respectively. While pursuing the PhD degree, he worked at Microsoft Research Asia and The Chinese University of Hong Kong for more than two years. He also worked at Columbia University for one year as a postdoctoral research scientist. In May 2007, he joined Nanyang Technological University in Singapore, where he is currently an associate professor with School of Computer Engineering. His research focuses on new theories, algorithms and systems for intelligent processing and understanding of visual data such as images and videos. He has published more than 50 papers in IEEE Transactions (including 8 papers in T-PAMI) and more than 30 papers in top tier conferences CVPR, ICCV, ECCV, ICML, ACM MM and MICCAI. He was the co-author (with his former PhD student Lixin Duan) of a paper that won the Best Student Paper Award in CVPR 2010. His publications have been cited more than 2000 times in Scopus. Since 2008, he has received over S$3.5M in research grant funding, from Singapore National Research Foundation (NRF), A*STAR, Ministry of Education (MOE), Rolls-Royce Singapore Pte Ltd (RRSPL) and Microsoft Research Asia (MSRA). The former PhD students Yi Huang and Lixin Duan in his research group were awarded the prestigious MSRA Fellowship Awards in 2008 and 2009, respectively.

Xiaotong Yuan received a B.A. in computer science from Nanjing University of Posts and Telecommunications in 2002, a M.E. in electrical engineering from Shanghai Jiao-Tong University in 2005, and a Ph.D. in pattern recognition from Chinese Academy of Sciences in 2009. After graduation, he held various appointments as postdoctoral research associate working at the Department of Electrical and Computer Engineering at National University of Singapore, the Department of Statistics and Biostatistics at Rutgers University, and the Department of Statistical Science at Cornell University. In 2013, he joined the School of Information and Control at Nanjing University of Information Science & Technology where he currently is a professor of information science. His main research interests include machine learning, data mining, and computer vision. He has authored/co-authored more than 40 technical papers over a wide range of research topics. He received the winner prize of the classification task in PASCAL VOC ’10.

Lei Zhang received the B.Sc. degree in 1995 from Shenyang Institute of Aeronautical Engineering, Shenyang, P.R. China, the M.Sc. and Ph.D degrees in Control Theory and Engineering from Northwestern Polytechnical University, Xi’an, P.R. China, respectively in 1998 and 2001. From 2001 to 2002, he was a research associate in the Dept. of Computing, The Hong Kong Polytechnic University. From Jan. 2003 to Jan. 2006 he worked as a Postdoctoral Fellow in the Dept. of Electrical and Computer Engineering, McMaster University, Canada. In 2006, he joined the Dept. of Computing, The Hong Kong Polytechnic University, as an Assistant Professor. Since Sept. 2010, he has been an Associate Professor in the same department. His research interests include Image and Video Processing, Computer Vision, Pattern Recognition and Biometrics, etc. Dr. Zhang has published about 200 papers in those areas. Dr. Zhang is currently an Associate Editor of IEEE Trans. on CSVT and Image and Vision Computing. He was awarded the 2012-13 Faculty Award in Research and Scholarly Activities. More information can be found in his homepage http://www4.comp.polyu.edu.hk/~cslzhang/.

朱军，清华大学计算机系副教授、博士生导师。分别于2005年和2009年获清华大学计算机学士和博士学位，2009到2011年在美国卡内基梅隆大学做博士后，2011年回清华任教至今。主要研究方向为机器学习、概率图模型、贝叶斯统计及其在数据挖掘、图像处理等领域的应用。在国际顶级会议（ICML、NIPS、SIGKDD、IJCAI等）与期刊（JMLR, PAMI等）发表论文近50篇。受邀担任ICML2014, UAI2014，NIPS2013等顶级国际会议的领域主席或资深程序委员，担任ICML2014本地联合主席。入选IEEE Intelligent Systems国际杂志评选的AI’s 10 to Watch（2013）和清华大学221基础研究人才计划（2012），荣获国家自然科学基金委优秀青年基金（2013），中国计算机学会青年科学家（2013），中国计算机学会优秀博士论文（2009），以及微软学者（2007）等。