XU, Lei |
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Lei Xu is a professor of Computer Science and Engineering
Chinese Univ Hong Kong (CUHK) where he first joined
as a senior lecturer in 1993, became a professor in 1996 and then took the current
chair professor position in 2002.
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Also,
He serves as a deputy director of the Hong Kong Bioinformatics
Centre.
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Moreover,
he is a Chang Jiang Chair
Professor of
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
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Total |
Top-10 |
Top-1 |
H-index |
Top-30 (Hmean) |
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SCI-E |
> 4000 |
> 2340 |
859 |
27 |
> 3230 |
|
Google Scholar |
> 7500 |
> 4780 |
1727 |
34 |
> 6170 |
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Top-n means the first n papers ranked
according to the numbers of citations |
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Prof. Xu
has served as an associate editor for eight academic journals, especially on neurocomputing, e.g., including Neural Networks
(1995-present) and IEEE Trans. on Neural Networks (1994-98). Moreover, he has served
as a governor on the Governing
Board of International Neural Networks Society (INNS) (2001-03), as well as the
INNS award committee (2002-03) and the
Fellow committee of IEEE Computational Intelligence society (06), the chair of
Computational Finance Technical Committee of IEEE Neural Networks Society
(2001-03), and a past president of Asian-Pacific Neural Networks Assembly. He
is also served as a general chair of IEEE Intl Conf. on CIFER03, Intl Confs IDEAL98, IDEAL00, Joint-ICANN-ICONIP03 Program Committee
co-chair, a program committee chair of ICONIP96 and a honorary chair of
ICONIP06, and the chairs of two NIPS Workshops, 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), and an nominator for the prestigious Kyoto prize
(2003,2007,2011).
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, and
the second of the 10 winners of the 1988 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
Phone: +852-26098423 Email: lxu[at]
cse[dot]cuhk[dot]edu[dot]hk
Research Interests
- STATISTICAL LEARNING (unsupervised, supervised, unified theory,
model selection) and applications to neural computing, financial engineering
& time series, signal separation, bioinformatics).
- COMPUTER VISION (Random Hough Transform, detection of shape and
motion of multiple objects).
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
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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)
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Financial Engineering and
Signal Processing (enter)
·
Combinatorial Optimization (enter)
Representative Publications (by years) (enter)
Two closely related series of efforts in the 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 the late senior academicians Prof. T. Chang of Tsinghua University and his collaborator, Prof. M. T. Cheng
of Peking University, see the second paragraph of the editorial http://www.springerlink.com/content/k68031581527q255/fulltext.pdf.
·
One
is a serial annual workshops on Intelligence Science
and Intelligent Data Engineering (IScIDE) as a
collective venue for introducing world frontier researchers to
See IScIDE 10 http://goldentri.hit.edu.cn
IScIDE 11 http://www.iscide2011.org/index.asp?pageid=1
IScIDE 12 http://iscide2012.seu.edu.cn/
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Another series of efforts are the four special issues
on Frontiers of Electrical and Electronic Engineering in
· Volume 5, Number 3 / September 2010, consisting of nine invited survey articles written by
Shun-ichi Amari, Erika Oja, Jorma Rissanen, Alan Yuille Jürgen Schmidhuber, Raymond W. Yeung, Runsheng Chen, Yanda Li, and Lei Xu, on Emerging themes on information theory and Bayesian Approach, especially on topics the authors pioneered.
All the authors are IEEE Fellows or/and Members of National Academy of Sciences.
See http://www.springerlink.com/content/1673-3460/5/3/
and the editorial http://www.springerlink.com/content/k68031581527q255/fulltext.pdf
· 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. This special issue is bisected.
o
The first half provides an insightful view for
the core achievements by Chinese colleagues, with articles written by
professors from major universities in mainland
• Describing data samples with
reduced dimensionality;
• Integrating
multi-sources of partial information for a better performance.
o
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,
See http://www.springerlink.com/content/1673-3460/6/1/
and the editorial http://www.springerlink.com/content/428705867371np45/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 of
See http://www.springerlink.com/content/1673-3460/6/2/
and the editorial http://www.springerlink.com/content/ru317153x265p188/fulltext.pdf
·
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 window for observing the
achievements of professors in
See http://www.springerlink.com/content/2095-2732/7/1/
and the editorial http://www.springerlink.com/content/tp187860405591k1/fulltext.pdf