Lei Xu
Affiliations: Shanghai Jiao Tong University, Centre for Cognitive Machines and Computational Health (CMaCH), China
 Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
 Tsinghua University, Beijing, China (PhD)
According to our database^{1},
Lei Xu
authored at least 206 papers
between 1987 and 2021.
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Bibliography
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
2020
Frontiers Inf. Technol. Electron. Eng., 2020
Twovariate phenotypetargeted tests for detecting phenotypic biomarkers in cancers.
Int. J. Data Min. Bioinform., 2020
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network.
CoRR, 2020
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram.
Proceedings of the TwentyNinth International Joint Conference on Artificial Intelligence, 2020
2019
An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation.
IEEE CAA J. Autom. Sinica, 2019
CoRR, 2019
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram.
IEEE Access, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
Computational Decomposition of Style for Controllable and Enhanced Style Transfer.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
A twovariate phenotypetargeted test for detection of phenotypic biomarkers on breast cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
2017
Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease.
Neurocomputing, 2017
Comparative studies on multivariate tests for jointSNVs analysis and detection for bipolar disorder susceptibility genes.
Int. J. Data Min. Bioinform., 2017
CoRR, 2017
A Comparative Study of JointSNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
SurvivalExpression Map and Essential Forms of SurvivalExpression Relations for Genes.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
A Comparative Study on Lagrange YingYang Alternation Method in Gaussian MixtureBased Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning  IDEAL 2017  18th International Conference, Guilin, China, October 30, 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Bootstrapped Integrative Hypothesis Test, COPDLung Cancer Differentiation, and Joint miRNAs Biomarkers.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015
2014
Neurocomputing, 2014
Learning local factor analysis versus mixture of factor analyzers with automatic model selection.
Neurocomputing, 2014
A comparative study of RPCL and MCE based discriminative training methods for LVCSR.
Neurocomputing, 2014
Neurocomputing, 2014
2013
Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
2012
A theoretical investigation of several model selection criteria for dimensionality reduction.
Pattern Recognit. Lett., 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
J. Integr. Bioinform., 2012
MatrixVariate Discriminative Analysis, Integrative Hypothesis Testing, and GenoPheno A5 Analyzer.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Discriminative GMMHMM Acoustic Model Selection Using TwoLevel Bayesian YingYang Harmony Learning.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
A nonGaussian factor analysis approach to transcription Network Component Analysis.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
2011
Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian YingYang Harmony Learning.
IEEE Trans. Signal Process., 2011
A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSR.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
2010
J. Glob. Optim., 2010
A study of several model selection criteria for determining the number of signals.
Proceedings of the IEEE International Conference on Acoustics, 2010
GMMHMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection.
Proceedings of the IEEE International Conference on Acoustics, 2010
Gene clustering by structural prior based local factor analysis model under Bayesian YingYang harmony learning.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
2008
Proceedings of the Data Mining: Foundations and Practice, 2008
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family.
Proceedings of the Computational Intelligence: Research Frontiers, 2008
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
A Trend on Regularization and Model Selection in Statistical Learning: <i>A Bayesian Ying Yang Learning Perspective</i>.
Proceedings of the Challenges for Computational Intelligence, 2007
Scholarpedia, 2007
Scholarpedia, 2007
A unified perspective and new results on RHT computing, mixture based learning, and multilearner based problem solving.
Pattern Recognit., 2007
OneBitMatching Theorem for ICA, ConvexConcave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics.
Neural Comput., 2007
Int. J. Pattern Recognit. Artif. Intell., 2007
2006
Pattern Recognit., 2006
J. Math. Model. Algorithms, 2006
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models.
Proceedings of the Advances in Neural Networks  ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application.
Proceedings of the Artificial Neural Networks, 2006
Comparative Investigation on Dimension Reduction and Regression in Three Layer FeedForward Neural Network.
Proceedings of the Artificial Neural Networks, 2006
2005
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005
Neural Comput., 2005
Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture.
Neurocomputing, 2005
Nonlinear analysis of steel frameworks through direct modification of member stiffness properties.
Adv. Eng. Softw., 2005
OneBitMatching ICA Theorem, ConvexConcave Programming, and Combinatorial Optimization.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005
2004
IEEE Trans. Neural Networks, 2004
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination.
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
IEEE Signal Process. Lett., 2004
Neural Networks, 2004
Neural Comput., 2004
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection.
Neurocomputing, 2004
Arbitrage pricing theorybased Gaussian temporal factor analysis for adaptive portfolio management.
Decis. Support Syst., 2004
Proceedings of the Advances in Neural Networks, 2004
Local Separation Property of the TwoSource ICA Problem with the OneBitMatching Condition.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
2003
Correction to "dual multivariate autoregressive modeling in state space for temporal signal separation".
IEEE Trans. Syst. Man Cybern. Part B, 2003
Dual multivariate autoregressive modeling in state space for temporal signal separation.
IEEE Trans. Syst. Man Cybern. Part B, 2003
IEEE Trans. Neural Networks, 2003
Pattern Recognit. Lett., 2003
Data smoothing regularization, multisetslearning, and problem solving strategies.
Neural Networks, 2003
Improved system for object detection and star/galaxy classification via local subspace analysis.
Neural Networks, 2003
Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277301].
Neurocomputing, 2003
BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units.
Neurocomputing, 2003
Neurocomputing, 2003
Further studies on temporal factor analysis: comparison and Kalman filterbased algorithm.
Neurocomputing, 2003
Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003
Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Empirical Comparison between Two Computational Strategies for Topological SelfOrganization.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003
On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent statespace model.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003
2002
Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses".
IEEE Trans. Neural Networks, 2002
BYY harmony learning, structural RPCL, and topological selforganizing on mixture models.
Neural Networks, 2002
A Lagrange Multiplier and HopfieldType Barrier Function Method for the Traveling Salesman Problem.
Neural Comput., 2002
White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis.
Proceedings of the 6th Joint Conference on Information Science, 2002
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Stock Price and Index Forecasting by Arbitrage Pricing TheoryBased Gaussian TFA Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
BYY harmony learning, independent state space, and generalized APT financial analyses.
IEEE Trans. Neural Networks, 2001
A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem.
Neural Networks, 2001
Neural Comput., 2001
Neurocomputing, 2001
Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, ThreeLayer Nets and MERBFSVM Models.
Int. J. Neural Syst., 2001
Proceedings of the Advances in SelfOrganising Maps, 2001
Proceedings of the Proceedings IEEE International Test Conference 2001, Baltimore, MD, USA, 30 October, 2001
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
2000
Temporal BYY learning for state space approach, hidden Markov model, and blind source separation.
IEEE Trans. Signal Process., 2000
IEEE Signal Process. Lett., 2000
BYY learning system and theory for parameter estimation, data smoothing based regularization and model selection.
Neural Parallel Sci. Comput., 2000
A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints.
J. Glob. Optim., 2000
Some global and local convergence analysis on the informationtheoretic independent component analysis approach.
Neurocomputing, 2000
Rival Penalized Competitive Learning Based Approach for DiscreteValued Source Separation.
Int. J. Neural Syst., 2000
Proceedings of the IEEEINNSENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEEINNSENNS International Joint Conference on Neural Networks, 2000
A RPCLBased Approach for Identification of Markov Model with Unknown Noise and Number of States.
Proceedings of the IEEEINNSENNS International Joint Conference on Neural Networks, 2000
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000
1999
Neural Networks, 1999
Further study of adaptive supervised learning decision (ASLD) network in stock market.
Proceedings of the IEEEEURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
Region number determination in automatic image segmentation based on BKYY model selection criterion.
Proceedings of the IEEEEURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis.
Proceedings of the IEEEEURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Temporal Bayesian YingYang dependence reduction, blind source separation and principal independent components.
Proceedings of the International Joint Conference Neural Networks, 1999
Bayesian yingyang theory for empirical learning, regularization and model selection: general formulation.
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Further improvement of adaptive supervised learning decision (ASLD) network in stock market.
Proceedings of the International Joint Conference Neural Networks, 1999
On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique.
Proceedings of the International Joint Conference Neural Networks, 1999
An empirical method to select dominant independent components in ICA for time series analysis.
Proceedings of the International Joint Conference Neural Networks, 1999
Autoregressive signal separation approach with seesawmapping technique on temporal source separation.
Proceedings of the International Joint Conference Neural Networks, 1999
An ICA algorithm with adaptivelearned polynomial nonlinearity for signal separation.
Proceedings of the International Joint Conference Neural Networks, 1999
Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensormotor integration.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Neurocomputing, 1998
Neurocomputing, 1998
Neurocomputing, 1998
Proceedings of the Multimedia Information Analysis and Retrieval, 1998
Application of Bayesian YingYang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998
Bayesian YingYang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
BKYY Three Layer Net Learning, EMLike Algorithm, and Selection Criterion for Hidden Unit Number.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Bayesian YingYang System and Theory as a Unified Statistical Learning Approach (VII): Data Smoothing.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
The Role of Statistical Theory in the Future Research on Brainlike Systems.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Financial Prediction by Finite Mixture GARCH Model.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
An Experimental Comparison of the Bayesian YingYang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
An experimental comparison of the Bayesian YingYang criteria and cross validation for selection on number of hidden units in feedforward networks.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998
1997
IEEE Trans. Neural Networks, 1997
Pattern Recognit. Lett., 1997
Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures.
Neural Process. Lett., 1997
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment.
Int. J. Neural Syst., 1997
Independent component analysis by the informationtheoretic approach with mixture of densities.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
New advances on Bayesian YingYang learning system with Kullback and nonKullback separation functionals.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
An experimental comparative study on several soft and hardcut EM algorithms for mixture of experts.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Separation of two independent sources by the informationtheoretic approach with cubic nonlinearity.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities.
Proceedings of the ESANN 1997, 1997
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997
1996
Neural Comput., 1996
Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction.
Int. J. Neural Syst., 1996
How many clusters?: A YingYang machine based theory for a classical open problem in pattern recognition.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Application of adaptive RPCLCLP with trading system to foreign exchange investment.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model.
Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment.
Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996
1995
Robust principal component analysis by selforganizing rules based on statistical physics approach.
IEEE Trans. Neural Networks, 1995
Neural Networks, 1995
Neural Comput., 1995
Image Vis. Comput., 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
1994
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size.
Neural Networks, 1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
On L<sub>1</sub> convergence rate of RBF networks and kernel regression estimators with applications in classification.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994
Proceedings of the Computer Vision, 1994
1993
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection.
IEEE Trans. Neural Networks, 1993
Neural Networks, 1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
1992
Methods of combining multiple classifiers and their applications to handwriting recognition.
IEEE Trans. Syst. Man Cybern., 1992
Neural Networks, 1992
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning.
Int. J. Neural Syst., 1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
Further developments on RHT: basic mechanisms, algorithms, and computational complexities.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992
Unsupervised and supervised classifications by rival penalized competitive learning.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992
Randomized Hough transform applied to translational and rotational motion analysis.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992
1991
Int. J. Neural Syst., 1991
1990
Pattern Recognit. Lett., 1990
Int. J. Neural Syst., 1990
Proceedings of IAPR Workshop on Machine Vision Applications, 1990
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990
Proceedings of the Neural Networks, 1990
1988
Structuring causal tree models with continuous variables.
Int. J. Approx. Reason., 1988
A method for recognizing configurations consisting of line sets and its application to discrimination of seismic face structures.
Proceedings of the 9th International Conference on Pattern Recognition, 1988
1987
Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987
Almost unique specification of discrete finite length signal: From its end point and Fourier transform magnitude.
Proceedings of the IEEE International Conference on Acoustics, 1987