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	总计	2019 年至今
引用	21760	6984
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SHIKUI TUDepartment of Computer Science and Engineering, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Erkki OjaProfessor of Computer Science and Engineering, Aalto University在 aalto.fi 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
Zhi-Yong LiuAssociate Professor, Chinese Academy of Sciences在 ia.ac.cn 的电子邮件经过验证
Irwin KingThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Lei ShiTower Research Capital在 tower-research.com 的电子邮件经过验证
Heikki KälviäinenProfessor of Computer Science and Engineering, Lappeenranta-Lahti University of Technology (LUT)在 lut.fi 的电子邮件经过验证
Xuelei HuResearch Fellow, University of Queensland在 uq.edu.au 的电子邮件经过验证
Amari S*在 brain.riken.jp 的电子邮件经过验证
Geoffrey HintonEmeritus Prof. Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
Ke ChenDepartment of Computer Science, The University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Chuangyin DangCity University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
John SumProfessor, Institute of Technoglogy Management, National Chung Hsing University在 nchu.edu.tw 的电子邮件经过验证
Judea PearlProfessor of Computer Science, University of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Lan DuProfessor of National Lab of Radar Signal Processing, Xidian University在 mail.xidian.edu.cn 的电子邮件经过验证
Kazushi IKEDANara Institute of Science and Technology在 is.naist.jp 的电子邮件经过验证

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Lei Xu

Zhiyuan Chair Professor, Dept. of Computer Sci. & Eng. Shanghai Jiao Tong Univ.

在 cs.sjtu.edu.cn 的电子邮件经过验证 - 首页

AI Machine Learning Neural Networks Bioinformatics Computational Health


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Methods of combining multiple classifiers and their applications to handwriting recognition L Xu, A Krzyzak, CY Suen IEEE transactions on systems, man, and cybernetics 22 (3), 418-435, 1992	3316	1992
A new curve detection method: randomized Hough transform (RHT) L Xu, E Oja, P Kultanen Pattern recognition letters 11 (5), 331-338, 1990	1722	1990
On convergence properties of the EM algorithm for Gaussian mixtures L Xu, MI Jordan Neural computation 8 (1), 129-151, 1996	1107	1996
Rival Penalized Competitive Learning, Clustering Analysis, RBF Nets and Curve Detection L Xu, A Krzyzak, E Oja Neural Networks, IEEE Transactions on 4 (4), pp636-649, 1993	886	1993
Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities L Xu, E Oja CVGIP: Image understanding 57 (2), 131-154, 1993	860	1993
Least mean square error reconstruction principle for self-organizing neural-nets L Xu Neural networks 6 (5), 627-648, 1993	451	1993
Convergence results for the EM approach to mixtures of experts architectures MI Jordan, L Xu Neural networks 8 (9), 1409-1431, 1995	442	1995
An alternative model for mixtures of experts L Xu, MI Jordan, GE Hinton Advances in neural information processing systems, 633-640, 1995	433*	1995
Probabilistic and non-probabilistic Hough transforms: overview and comparisons H Kälviäinen, P Hirvonen, L Xu, E Oja Image and vision computing 13 (4), 239-252, 1995	357	1995
Modified Hebbian learning for curve and surface fitting L Xu, E Oja, CY Suen Neural Networks 5 (3), 441-457, 1992	335	1992
Robust principal component analysis by self-organizing rules based on statistical physics approach L Xu, AL Yuille IEEE Transactions on Neural Networks 6 (1), 131-143, 1995	333	1995
Bayesian Ying–Yang machine, clustering and number of clusters L Xu Pattern Recognition Letters 18 (11-13), 1167-1178, 1997	214	1997
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size L Xu, A Krzyżak, A Yuille Neural Networks 7 (4), 609-628, 1994	186	1994
Improved learning algorithms for mixture of experts in multiclass classification K Chen, L Xu, H Chi Neural networks 12 (9), 1229-1252, 1999	179	1999
Best first strategy for feature selection L Xu, P Yan, T Chang 9th international conference on pattern recognition, 706,707,708-706,707,708, 1988	162	1988
Independent component ordering in ICA time series analysis Y Cheung, L Xu Neurocomputing 41 (1-4), 145-152, 2001	146	2001
Interactiongraphnet: A novel and efficient deep graph representation learning framework for accurate protein–ligand interaction predictions D Jiang, CY Hsieh, Z Wu, Y Kang, J Wang, E Wang, B Liao, C Shen, L Xu, ... Journal of medicinal chemistry 64 (24), 18209-18232, 2021	132	2021
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models L Xu Neural Networks 15 (8-9), 1125-1151, 2002	132	2002
Asymptotic convergence rate of the EM algorithm for Gaussian mixtures J Ma, L Xu, MI Jordan Neural Computation 12 (12), 2881-2907, 2000	131	2000
RBF nets, mixture experts, and Bayesian Ying–Yang learning L Xu Neurocomputing 19 (1-3), 223-257, 1998	128	1998

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