Speakers
| Academician Wen Gao, Chinese Academy of Engineering IEEE Fellow, ACM Fellow, Peking University, ChinaGao, Wen received the B.S. degree in computer science from Harbin University of Science and Technology in 1982, the M.S. degree in computer science from Harbin Institute of Technology in 1985, the Ph.D. degree in computer science from Harbin Institute of Technology in 1988, and the Ph.D. degree in electronics engineering from the University of Tokyo in 1991, Tokyo, Japan. He is working in the areas of multimedia and computer vision, including video coding, video analysis, multimedia retrieval, face recognition, and multimodal interface. Prof. Gao now is a Boya Chair Professor and the Director of the Faculty of Information and Engineering Sciences at Peking University. He also served as the vice president of the National Natural Science Foundation China (NSFC) since Feb. of 2013, and the president of CCF from Feb. 2016. Prof. Gao works in the areas of multimedia and computer vision, topics including video coding, video analysis, multimedia retrieval, face recognition, multimodal interfaces, and virtual reality. His most cited contributions are model-based video coding and face recognition. He published seven books, over 220 papers in refereed journals, and over 600 papers in selected international conferences. His publications have been cited for over 28,000 times, and his H-index is 75, according to Google Scholar. Prof. Gao served on the editorial board for several journals, such as IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia. He chaired many prestigious international conferences, such as IEEE ICME 2007, ACM Multimedia 2009, and IEEE ISCAS 2013. He earned many awards such as one second-class award in technology invention by the State Council, and six second-class awards in science and technology achievement by the State Council. He is a fellow of IEEE, a fellow of ACM, and a member of the Chinese Academy of Engineering. |
Prof. Yu Wang Tsinghua University, ChinaYu Wang has published more than 90 journals (66 IEEE/ACM journals) and 310 conference papers in the areas of EDA, FPGA, VLSI Design, and Embedded Systems, with a focus on brain-inspired computing, application-specific heterogeneous computing, parallel circuit analysis, and power and reliability aware system design methodology. He has graduated 13 Ph.D. students and 23 Master Students and currently advising 17 doctoral students and 16 master Students. He has served as PI/Co-PI on over 30 research grants administrated by China government agencies (including NSFC, National Key Technology Program, 863, etc.) and 29 research grants from industry (including Microsoft, IBM, etc.), with total amount of over 70 million RMB. These projects lead to new CAD tools and optimization methods, and interesting heterogeneous computing systems based on CPU/FPGA/GPU/emerging memory technology. He has received Best Paper Award in ASP-DAC19, FPGA17, NVMSA17, ISVLSI12, Best Poster Award in HEART12, and 12 Best Paper Nominations (DATE23, DAC22, DATE18, ITC18, DAC17, ASP-DAC16, ASP-DAC14, ASP-DAC12, 2 in ASP-DAC10, ISLPED09, CODES09). He is an IEEE Fellow, a recipient of the ACM/SIGDA Meritorious Service Award in 2020, Under-40 Innovators Award at DAC in 2018 (only 5 all over the world/year), High-end Leadership Award of Zhongguancun Talent Program in 2018, IBM X10 Faculty Award in 2010 (one of 30 worldwide). He also received the Natural Science Fund for Outstanding Youth Fund in 2016. He is the co-founder of DeePhi Tech (a leading deep learning solution provider), which was acquired by Xilinx (about 300M USD) in 2018. |
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