Speaker
Prof. Zhu Han (AAAS Fellow, IEEE fellow, John and Rebecca Moores Professor )
University of Houston, USA
Speech Title:
Distributionally Robust Optimization and Machine Learning for Communication Networks
Short bio: Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han has been IEEE fellow since 2014, AAAS fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is winner of 2021 IEEE Kiyo Tomiyasu Award, and has been 1% highly cited researcher according to Web of Science since 2017.
Prof. Yiu-ming Cheung (FIEEE, FAAAS, FIET, FBCS)
Hong Kong Baptist University, Hong Kong, China
Speech Title:
Equalization ensemble for large scale highly imbalanced data classification
Short bio: Yiu-ming Cheung (SM’06--F’18) received Ph.D. degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000. He joined the Department of Computer Science in Hong Kong Baptist University (HKBU) in 2001, and became a full professor since 2012. He is an IEEE Fellow, AAAS Fellow, IET Fellow, and British Computer Society (BCS) Fellow. His research interests include Machine Learning, Intelligent Visual Computing, Pattern Recognition, Data Mining, Watermarking, and Optimization. He has published over 250 articles in the high-quality conferences and journals, including TPAMI, TNNLS, TIFS, TIP, TKDE, TCYB, CVPR, IJCAI, and AAAI. He was ranked the World’s Top 1% Most-cited Scientists in the field of Artificial Intelligence and Image Processing by Stanford University in 2020. His three co-authored papers are selected as ESI Highly Cited Papers (i.e. listed in Top 1% globally in the corresponding discipline). He has been granted one Chinese patent and two US patents. In particular, selected from 1000 new inventions and products of 700+ competition teams from 40 countries, he was awarded two most prestigious prizes: (1) the Gold Medal with Distinction (i.e. the highest grade in Gold Medals) and (2) Swiss Automobile Club Prize, in the 45th International Exhibition of Invention, Geneva, Switzerland, on March 29-April 2, 2017, in recognition of his innovative work. Also, he was the Gold Award Winner of Hong Kong Innovative Invention Award in the Seventh Hong Kong Innovative Technologies Achievement Award 2017. In addition, he won the Gold Medal with Congratulations of Jury (i.e. the highest grade in Gold Medals) at the 46th International Exhibition of Inventions of Geneva 2018. Prof. Cheung is the recipient of: (1) 2011 Best Research Award in Department of Computer Science, HKBU, (2) Best Paper Awards in SEAL’2017, ISICA’2017, ICNC-FSKD’2014, and IEEE IWDVT’2005, respectively, (3) Best Student Paper Award in ISMIS’2018, (4) Best in Theoretical Paper Award in WI-IAT’2020, and (5) 2017 IETI Annual Scientific Award. Also, he is the recipient of 2017-2019 Albert Nelson Marquis Lifetime Achievement Award. He has been elected as an IEEE CIS Distinguished Lecturer, and the Changjiang Chair Professor awarded by Ministry of Education of China. He is the Founding Chairman of IEEE (Hong Kong) Computational Intelligence Chapter, and the Chair of Technical Committee on Intelligent Informatics (TCII) of IEEE Computer Society. He has served in various capacities (e.g., Organizing Committee Chair, Program Committee Chair, Program Committee Area Chair, and Financial Chair) at several top-tier international conferences, including IJCAI’2021, ICPR’2020, ICDM’2017 & 2018, WCCI’2016, WI-IAT’2012, ICDM’2006 & WI-IAT’2006, to name a few. He is an Associate Editor for several prestigious journals, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, Pattern Recognition, and Neurocomputing, as well as the Guest Editor in several international journals. Currently, he is an Engineering Panel member of Research Grants Council, Hong Kong, and a Fellow Committee member of IEEE Computational Intelligence Society.
Prof. Zhongfei (Mark) Zhang (IEEE Fellow)
Binghamton University State University of New York, USA
Speech Title:
Learning with Knowledge Distillation
Short bio: Zhongfei (Mark) Zhang is a professor at Computer Science Department, Binghamton University, State University of New York (SUNY), USA. He received a B.S. in Electronics Engineering (with Honors), an M.S. in Information Sciences, both from Zhejiang University, China, and a PhD in Computer Science from the University of Massachusetts at Amherst, USA. His research interests are in the broad areas of machine learning, data mining, computer vision, and pattern recognition, and specifically focus on multimedia/multimodal data understanding and mining. He was on the faculty of Computer Science and Engineering at SUNY Buffalo, before he joined the faculty of Computer Science at SUNY Binghamton. He is the author or co-author of the very first monograph on multimedia data mining and the very first monograph on relational data clustering. He has published over 200 papers in the premier venues in his areas. He holds more than thirty inventions, has served as members of organization committees of several premier international conferences in his areas including general co-chair and lead program chair, and as editorial board members for several international journals. He served as a French CNRS Chair Professor of Computer Science at the University of Lille 1 in France, a JSPS Fellow in Chuo University, Japan, a QiuShi Chair Professor in Zhejiang University, China, as well as several visiting professorships from many universities and research labs in the world when he was on leave from Binghamton University years ago. He received many honors including SUNY Chancellor’s Award for Scholarship and Creative Activities, SUNY Chancellor’s Promising Inventor Award, and best paper awards from several premier conferences in his areas. He is an IEEE Fellow.