Professor of Computer Science and Engineering
Lei Xu completed his Ph.D thesis at Tsinghua Univ by the end of 1986, then joined Dept. Math, Peking Univ in 1987 first as a postdoc and then was exceptionally promoted to associate professor in 1988 and to a full professor in 1992. During 1989-93, he worked at several universities in Finland, Canada and USA, including Harvard and MIT. He has published more than 350 papers, covering the areas of Statistical Learning and Neural Networks, Financial Engineering, Computer Vision and Pattern Recognition, Signal Processing, and Artificial Intelligence. Also, he has given dozens keynote /invited lectures at various international conferences, and has been internationally known with his well-cited contributions on adaptive PCA and independence learning, classifier combination and mixture model based learning, rival penalized competition, etc, as well as his Bayesian Ying-Yang unified statistical learning system and theory. Also, he and his colleague E.Oja's invention on Randomized Hough Transform has a widely impact in the field of pattern recognition and computer vision too. His papers got over 13000 citations (over 7400 by top-10 papers with 2589 for top-1 and 111 for 10th) according to Google Scholar and more than 5000 citations (over 3500 by top-10 papers with 1233 for top-1 and 276 for 10th) according to Web of Science.
Served as the editor-in-chief of Springer-Nature OA J. Applied Informatics, and associate editors of several academic journals, e.g., including Neural Networks (1995-2016), Neurocomputing (1995-present), IEEE Tr. Neural Networks (1994-98). Member of INNS Governing Board (2001-03), the INNS award committee (2002-03), Fellow committee of IEEE Computational Intelligence society (06), and Scientific committee of European Academy of Sciences (2014-17). Chair of Computational Finance Technical Committee of IEEE Neural Networks Society (2001-03), and Past president of Asian-Pacific Neural Networks Assembly (1995-96). Also served as a general chair of IEEE Intl Conf. on Computational Intelligence and Financial Engineering 2003, Intl Confs IDEAL98, and IDEAL00, International Advisory Committee Chair, IDEAL (2001-2014) , Joint-ICANN-ICONIP03 Program Committee co-chair, a program committee chair of ICONIP96 and a honorary chair of ICONIP06, NIPS Overseas Liaison (1995,96,97) and the chairs of two NIPS Workshops (1992,94), as well as program/organizing /Advisory committee members on major world conferences on Neural Networks, including WCNN, ICNN, IJCNN, IEEE WCCI, ICONIP, NIPS, ICANN, IDEAL, and Intl. Conf. on Computational Finance, etc. Prof. Xu has also been serving as a member of engineering panel, Hong Kong RGC research committee (2001-06), a member of selection committee, Chinese NSFC/HK RGC Joint research scheme (2002-05, 08), external expert for Chinese NSFC information science panel (2004-06). Additionally, an nominator for the prestigious Kyoto prize (2004,2008,2012,2015) and also an nominator for the LUI Che Woo Prize (2016, 2017, 2018).
Prof. Xu is a Fellow of IEEE (2001- ), Fellow of IAPR (International Association for Pattern Recognition) (2002-), member of European Academy of Sciences (2002-). He has been listed in many international biographical publications. Prof Xu has received an 1995 International Neural Networks Society Leadership Award and several Chinese national prestigious academic awards, including 1993 Chinese National Nature Science Award, 1988 Chinese State Education Council FOK YING TUNG Award, 1988 Top-10 BEIJING YOUNG SCIENTISTS PRIZE. Following the 2004 winner Prof Amari and the 2005 winner Prof. Fukushima, Prof. Xu has received the 2006 APNNA Outstanding Achievement Award.
Address: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T. Hong Kong
Phone: +852- 39438423 Email: lxu[at] cse[dot]cuhk[dot]edu[dot]hk
Representative Publications (by years) (enter)
Overview Papers in Journals/Encyclopedia/Handbook (enter)
· Unsupervised Learning (enter)
· Supervised Learning (enter)
· Randomized Hough Transform and Object Detection (enter)
· Combinatorial Optimization (enter)
Two closely related series of efforts in past three years
For a promotion of Sino-foreign interchange on interdisciplinary areas of intelligence science, information science, and intelligent data engineering, and also in memory of thirty year anniversary of the Zhongguancun Golden Triangle ISIS Forum founded and propelled by two late senior academicians Prof. T. Chang of Tsinghua University and Prof. M. T. Cheng of Peking University, two founders of the Division of Information Technical Sciences, Chinese Academy of Sciences.
See the 2nd paragraph of the editorial http://www.springerlink.com/content/k68031581527q255/fulltext.pdf.
A. Another series One is a serial annual workshops on Intelligence Science and Intelligent Data Engineering (IScIDE) as a collective venue for introducing world frontier researchers to China and for introducing core researchers from Chinese major universities and research institutions to international communities.
See IScIDE 10 http://goldentri.hit.edu.cn
IScIDE 11 http://www.iscide2011.org
IScIDE 12 http://iscide2012.seu.edu.cn/
B. One is a series of efforts on four special issues on Frontiers of Electrical and Electronic Engineering in China, which has been renamed as Frontiers of Electrical and Electronic Engineering since 2012, for which I have being serving as the Guest Editor.
· Volume 5, Number 3 / September 2010, consisting of nine invited survey articles written by
S. Amari, E. Oja, J. Rissanen, A. Yuille, J.Schmidhuber, R. W. Yeung, Runsheng Chen, Yanda Li, and Lei Xu, on Emerging themes on information theory and Bayesian Approach, especially on topics these authors pioneered.
and the editorial http://www.springerlink.com/content/k68031581527q255/fulltext.pdf
All the authors are IEEE Fellows or/and Members of National Academy of Sciences.
· Volume 6, Number 1 / March 2011, A special issue on Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (A). consisting of fourteen invited survey or research articles.
and the editorial http://www.springerlink.com/content/428705867371np45/fulltext.pdf
The first half provides an insightful view for the core achievements by Chinese colleagues, with articles written by professors from major universities in mainland China.
The second half aims at a much wider scope of intelligence science (vision system, neural system, human behavior, and generic issues) for broadening the readers knowledge of this journal, written by professors from Hong Kong, Taipei, Japan, Europe, and USA.
· Volume 7, Number 1 / March 2012, A special issue on Machine learning and intelligence science: IScIDE2010 (C). is a supplementary issue of Volume 6, Number 1 / March 2011. The two special issues may serve as a representative showing window for observing the achievements of professors in China. Actually, these authors come from more than 20 major universities in China (including the topmost nine mainland universities). Among them, eleven professors are recipients of Chinese NSF Distinguished Young Scholars, while others are also recipients of various levels of academic honors.
and the editorial http://www.springerlink.com/content/tp187860405591k1/fulltext.pdf
· Volume 6, Number 2 / June 2011, A special issue on Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (B). consisting of nineteen invited research articles: the two-third comes from major universities in mainland China while the rest comes from universities in Hong Kong (China), England, and Finland. This special issue provides a typical perspective for international communities to observe the researches of Ph.D candidates in China.
and the editorial http://www.springerlink.com/content/ru317153x265p188/fulltext.pdf