Derong Liu received the PhD degree in electrical engineering from the University of Notre Dame, USA, in 1994. He became a Full Professor of Electrical and Computer Engineering and of Computer Science at the University of Illinois at Chicago in 2006. He was selected for the “100 Talents Program” by the Chinese Academy of Sciences in 2008, and he served as the Associate Director of The State Key Laboratory of Management and Control for Complex Systems at the Institute of Automation, from 2010 to 2016. He has published 13 books. He received the International Neural Network Society’s Gabor Award in 2018 and the IEEE Computational Intelligence Society Neural Network Pioneer Award in 2022. He has been named a highly cited researcher by Clarivate since 2017. He was the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems from 2010 to 2015. He is the Editor-in-Chief of Artificial Intelligence Review (Springer). He is a Fellow of the IEEE, a Fellow of the International Neural Network Society, a Fellow of the International Association of Pattern Recognition, and a Member of Academia Europaea (The Academy of Europe).
Lei Xu, Emeritus Professor of Computer Science and Engineering, Chinese University of Hong Kong (CUHK); Zhiyuan Chair Professor of Computer Science and Engineering Department, Chief Scientist of AI Research Institute, Chief Scientist of SJTU-Sensetime Research Institute; Chief Scientist of Brain Sci & Tech Research Centre, Shanghai Jiao Tong University (SJTU); Director of Neural Computation Research Centre in Brain and Intelligence Science-Technology Institute, Zhang Jiang National Lab.
Elected to Fellow of IEEE in 2001; Fellow of intl. Association for Pattern Recognition in 2002 and of European Academy of Sciences (EURASC) in 2003. Received several national and international academic awards, e.g., including 1993 National Nature Science Award, 1995 Leadership Award from International Neural Networks Society (INNS) and 2006 APNNA Outstanding Achievement Award. Conducted research in several areas of Artificial Intelligence over 40 years. Published about 400 papers (including 140+ Journal papers，also published 4 papers on NIPS during 1992-95 and the one in 1992 with Peking university marks the first time a Chinese academic institution entered this topmost AI conference). His influential contributions on Randomized Hough Transform (RHT), RPCL learning, LMSER learning, classifier combination and mixture of experts, and BYY harmony learned are well known and widely followed. Served as EIC and associate editors of several academic journals.
Dr. QIU Bo, professor of University of Science and Technology Beijing, vice secretary of China returnees entrepreneurship alliance. Working interests include artificial intelligence, image processing, data mining, etc. His main working direction now is astronomical information technique. He has more than 90 papers published and 30 patents application or granted.
Xiaolin Huang is now a Professor in School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University. Before that he has worked in ESAT, KU Leuven, Belgium as a postdoctoral researcher (2012-2015) and in Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany as an Alexander von Humboldt Fellow (2015-2016). He holds B.S. from Xi’an Jiaotong University, China and Ph.D. from Tsinghua University, China.
His research interest is in understanding the generalization behavior of machine learning model. His works on learning in reproducing kernel Kerin/Banach space, training algorithm in low-dimensional space, and adversarial attack/defense lead to over 30 recent papers in top journals/conferences, like Nature Reviews, JMLR, IEEE TPAMI, IJCV, ACHA, NeurIPS, ICLR, etc.
He has obtained supports from National Natural Science Foundation of China, Ministry of Science and Technology, Shanghai Committee of Science and Technology, as well as industries like Huawei, Medtronic, and State Grid Corporation of China. He is now an IEEE Senior Member and is serving as a Vice Dean of Department of Automation, SJTU, an Action Editor for Machine Learning, and an Area Chair for ICLR, CVPR, ICCV, AAAI, etc. In 2017, he is awarded as “1000-talent” (young program).