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,  including 1988 Chinese State Education Council FOK YING TUNG Award,  1988 Top-10 BEIJING YOUNG SCIENTISTS PRIZE, 1993 National Nature Science Award,  1995 Leadership Award from International Neural Networks Society (INNS) and 2006 Asia Pacific Neural Network Society (APNNS)  Outstanding Achievement Award after the 2004 winner Prof Amari and the 2005 winner Prof. Fukushima.

Completed Ph.D thesis at Tsinghua Univ by the end of 1986,  Get PhD certificate from Tsinghua Univ in March 1987,  joined Peking Univ as postdoc in 1987 and promoted exceptionally to associate professor in 1988. Worked as postdoc and visiting scientist in Finland,  Canada and USA (including Prof. A. Yuille team in Harvard and Prof. M. Jordan team in MIT) during 1989-93. Joined CUHK as senior lecturer since 1993,  professor since 1996,  and chair professor during 2002-16. Joined SJTU as Zhiyuan chair professor since the summer of 2016.

Taken various roles in academic societies,  e.g.,  international neural network society (INNS) Governing Board (2001-03),  the INNS award committee (2002-03),  and the Fellow committee of IEEE Computational Intelligence society (2006-07),  and the EURASC scientific committee (2014-17), as well as  a past president of Asian-Pacific Neural Networks Assembly (APNNA) (1995-1996) and Chair of Computational Finance Technical Committee of IEEE Neural Networks Society (2001-03).

Conducted researches in several areas of Artificial Intelligence (AI) for 37+ years, such as neural networks and machine learning, signal processing (speech, radar, finance),  computer vision and pattern recognition,  and bioinformatics. Published about 400 papers (including 130+ Journal papers),  highlighted  by his  influential contributions on studies of Randomized Hough Transform (RHT),  RPCL,  classifier combination,  mixture model based learning,   LMSER,  RPCL,  nonlinear PCA,  independence learning,  mixture of experts,  EM algorithm,  RBF nets,  Bayesian Ying-Yang (BYY) harmony and bidirectional learning, with Web of Science citations (1355 by top-1,  4030+ by top-10 papers,  and 5380+ by top-50 papers) and Google Scholar citations (2820 by top-1,  8350+ by top-10 papers,  and 11750+ by top-50 papers). Given over dozens keynote /invited lectures at various international conferences.

Served as the EIC and associate editors of several academic journals,  e.g.,  including Neural Networks (1995-2016),  Neurocomputing (1995-2017),  IEEE Tr. Neural Networks (1994-98). Taken various roles in academic societies,  e.g.,  INNS Governing Board (2001-03),  the INNS award committee (2002-03),  and the Fellow committee of IEEE Computational Intelligence society (2006-07),  and the EURASC scientific committee (2014-17). 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, 2016，2020) and also an nominator for the LUI Che Woo Prize (2016,  2017,  2018, 2020).

Address: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T. Hong Kong

Email: lxu[at] cse[dot]cuhk[dot]edu[dot]hk

Representative Publications (by years) (enter)

Representative Publications (by topics)

·      Overview Papers in Journals/Encyclopedia/Handbook (enter)

Bayesian Ying-Yang system and best harmony learning

Randomized Hough Transform

Rival Penalized Competitive Learning

Combining Classifiers and Learning Mixture-of-Experts

Independent Subspaces

RBF Functions and Subspace Based Functions

·      Bayesian Ying-Yang System and Harmony Learning Theory (enter)

·      Unsupervised Learning (enter)

Least MSE Reconstruction, PCA, MCA and Nonlinear Extensions

Competitive Learning and  Clustering analysis

Gaussian Mixture and EM Algorithm

Bayesian Approach

·      Independent component analysis and independent  factor Analysis (enter)

·      Supervised Learning (enter)

          Multiple Experts and Classifier Combination

Radial Basis Functions and Subspace Based Functions

Feed-forward Networks

·      Randomized Hough Transform and Object Detection (enter)

·      Financial Engineering and Signal Processing (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.

See http://www.springerlink.com/content/1673-3460/5/3/

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.

See http://www.springerlink.com/content/1673-3460/6/1/

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.

See http://www.springerlink.com/content/2095-2732/7/1/ 

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.

See http://www.springerlink.com/content/1673-3460/6/2/

 and the editorial http://www.springerlink.com/content/ru317153x265p188/fulltext.pdf