L. Xu

Lei Xu, L. Xu, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

BYY dependence reduction theory and blind source separation

Lei Xu, L. Xu, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals

Lei Xu, L. Xu, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction

Minyue Fu, Lei Xu, Bailing Zhang, 1996, Int. J. Neural Syst..

Least Mean Square Error Reconstruction Learning in Recurrent Network

Lei Xu, Bailing Zhang, Irwin King, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Theories for unsupervised learning: PCA and its nonlinear extensions

Lei Xu, L. Xu, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Multisets modeling learning: an unified theory for supervised and unsupervised learning

Lei Xu, L. Xu, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Rival penalized competitive learning for clustering analysis, RBF net, and curve detection

Erkki Oja, Adam Krzyzak, Lei Xu, 1993, IEEE Trans. Neural Networks.

Emerging themes on information theory and Bayesian approach

Lei Xu, Lei Xu, Yanda Li, 2010 .

One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics

Lei Xu, L. Xu, 2007, Neural Computation.

One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization

Lei Xu, L. Xu, 2005, ISNN.

Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition

Jinwen Ma, Lei Xu, Zhiyong Liu, 2004, IDEAL.

Dual multivariate auto-regressive modeling in state space for temporal signal separation

Lei Xu, Yiu-ming Cheung, Lei Xu, 2003, IEEE Trans. Syst. Man Cybern. Part B.

INDEPENDENT COMPONENT ANALYSIS: THE ONE-BIT-MATCHING CONJECTURE AND A SIMPLIFIED LPM-ICA ALGORITHM

Lei Xu, K. Chiu, Zhiyong Liu, 2003 .

A STATISTICAL APPROACH TO TESTING MUTUAL INDEPENDENCE OF ICA RECOVERED SOURCES

Lei Xu, Zhiyong Liu, Kai-Chun Chiu, 2003 .

Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective

L. Xu, 2003 .

Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective

L. Xu, 2003 .

Bayesian Ying-Yang harmony learning, information theory and information geometry

Lei Xu, Lei Xu, L. Xu, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Some global and local convergence analysis on the information-theoretic independent component analysis approach

Lei Xu, Chi Chiu Cheung, L. Xu, 2000, Neurocomputing.

Bayesian Ying-Yang learning based ICA models

Lei Xu, L. Xu, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Nonlinearity and Separation Capability: Further Justiication for the Ica Algorithm with a Learned Mixture of Parametric Densities

S. Amari, Lei Xu, Chi Chiu Cheung, 1997 .

Learning Algorithms for RBF Functions and Subspace Based Functions

Lei Xu, L. Xu, 2012 .

Learning Algorithms for RBF Functions and Subspace

Lei Xu, Based Functions, L. Xu, 2010 .

Learning Algorithms for Rbf Functions and Subspace Based Functions

L. Xu, 2022 .

Some results on L/sub 1/ convergence rate of RBF networks and kernel regression estimators

A. Krzyżak, Lei Xu, L. Xu, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

On Radial Basis Function Net and Kernel Regression: Approximation Ability, Convergence Rate and Receptive Field Size

A. Krzyżak, A. Yuille, Lei Xu, 1993, Proceedings. IEEE International Symposium on Information Theory.

Drop expansion driven by bubbling on microscale patterned substrates under low air pressure

Yingzhou Huang, Shuxia Wang, Jiangen Zheng, 2020 .

Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease

Lei Xu, Kai-Ming Jiang, Bao-Liang Lu, 2017, Neurocomputing.

Modeling Inter‐Subject Variability in fMRI Activation Location: A Bayesian Hierarchical Spatial Model

Thomas E. Nichols, Lei Xu, Thomas E Nichols, 2009, Biometrics.

A new multivariate test formulation: theory, implementation, and applications to genome-scale sequencing and expression

Lei Xu, L. Xu, 2016, Applied Informatics.

Neural Nets for Dual Subspace Pattern Recognition Method

Erkki Oja, Adam Krzyzak, Lei Xu, 1991, Int. J. Neural Syst..

Independent component analysis by the information-theoretic approach with mixture of densities

Shun-ichi Amari, Lei Xu, Chi Chiu Cheung, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition

Lei Xu, L. Xu, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Combining Classifiers and Learning Mixture-of-Experts

Shun-ichi Amari, Lei Xu, S. Amari, 2009, Encyclopedia of Artificial Intelligence.

Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment

Lei Xu, L. Xu, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

RBF nets, mixture experts, and Bayesian Ying-Yang learning

Lei Xu, L. Xu, 1998, Neurocomputing.

On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classification

Adam Krzyzak, Lei Xu, Stan Klasa, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

On L/sub 2/ convergence rates of radial basis function networks and kernel regression estimators

A. Krzyżak, H. Niemann, L. Xu, 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning

Lei Xu, Alan L. Yuille, Stan Klasa, 1992, Int. J. Neural Syst..

Supplementary Information for Visualizing kinetic pathways of homogeneous nucleation in colloidal crystallization

N. Xu, Peng Tan, L. Xu, 2013 .

Bayesian Ying-Yang machine, clustering and number of clusters

Lei Xu, L. Xu, 1997, Pattern Recognit. Lett..

Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load

Lei Xu, Shengwei Wang, Rui Tang, 2019, Applied Energy.

Machine learning and causal analyses for modeling financial and economic data

Lei Xu, L. Xu, 2018, Applied Informatics.

Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (A)

Lei Xu, Yanda Li, Yanda Li, 2011 .

On Convergence Properties of the EM Algorithm for Gaussian Mixtures

L. Xu, 2007 .

On Convergence Properties of the EM Algorithm for Gaussian Mixtures

L. Xu, 2007 .

Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture

Jinwen Ma, Lei Xu, Jinwen Ma, 2005, Neurocomputing.

Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures

Jinwen Ma, Michael I. Jordan, Lei Xu, 2000, Neural Computation.

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment

Lei Xu, Yiu-ming Cheung, Wai-Man Leung, 1997, Int. J. Neural Syst..

Channel equalization by finite mixtures and the EM algorithm

Lei Xu, L. Xu, 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.

A Unifled Learning Framework: Multisets Modeling Learning 1

Lei Xu, L. Xu, 1995 .

A Uni ed Learning Framework Multisets Modeling Learning

L. Xu, 1995 .

An Alternative Model for Mixtures of Experts

Geoffrey E. Hinton, Michael I. Jordan, Lei Xu, 1994, NIPS.

A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving

Lei Xu, L. Xu, 2007, Pattern Recognit..

Transcription network analysis by a sparse binary factor analysis algorithm.

Lei Xu, Runsheng Chen, Shikui Tu, 2012, Journal of integrative bioinformatics.

Canonical Dual Approach to Binary Factor Analysis

Lei Xu, Ke Sun, Shikui Tu, 2009, ICA.

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis

Lei Xu, Ke Sun, Ke Sun, 2008, ICANN.

Best Harmony Learning

Lei Xu, L. Xu, 2000, IDEAL.

Radar HRRP statistical recognition with temporal factor analysis by automatic Bayesian Ying-Yang harmony learning

Zheng Bao, Lei Shi, Hongwei Liu, 2010, IEEE Transactions on Signal Processing.

On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications

Lei Xu, L. Xu, 2012 .

Rival penalized competitive learning, finite mixture, and multisets clustering

Lei Xu, L. Xu, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Cointegration by MCA and modular MCA

Lei Xu, Wai-Man Leung, W. Leung, 1998, Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.98TH8367).

New Mechanism for Model Selection and Regularization

Lei Xu, Lei Xu, L. Xu, 2004 .

Bayesian Ying Yang Learning ( II ) : A New Mechanism for Model Selection and Regularization

Lei Xu, Lei Xu, L. Xu, 2004 .

Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation

Lei Xu, L. Xu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Star-causality and factor analysis: old stories and new perspectives

Lei Xu, L. Xu, 2017, Applied Informatics.

Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis

Lei Xu, Jeong-Yon Shim, Jeong-Yon Shim, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

Bayesian Self-Organization Driven by Prior Probability Distributions

Lei Xu, Alan L. Yuille, Stelios M. Smirnakis, 1995, Neural Computation.

Bayesian Self-Organization

Lei Xu, Alan L. Yuille, Stelios M. Smirnakis, 1993, NIPS.

Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management

Lei Xu, Kai Chun Chiu, K. Chiu, 2004, Decis. Support Syst..

New Sharpe-ratio-related methods for portfolio selection

Lei Xu, Chi Chiu Cheung, Kei-Keung Hung, 2000, Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.00TH8520).

Probabilistic and non-probabilistic Hough transforms: overview and comparisons

Erkki Oja, Lei Xu, Heikki Kälviäinen, 1995, Image Vis. Comput..

Comparisons of Probabilistic and Non-probabilistic Hough Transforms

Erkki Oja, Lei Xu, Heikki Kälviäinen, 1994, ECCV.

Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial–temporal pattern from positron emission tomography data

Lei Xu, J. Price, S. Mazumdar, 2007 .

Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents

Lei Xu, L. Xu, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

BYY data smoothing based learning on a small size of samples

Lei Xu, L. Xu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks

Lei Xu, Wing-Kai Lam, W. Lam, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Methods of combining multiple classifiers and their applications to handwriting recognition

Adam Krzyżak, Ching Y. Suen, Lei Xu, 1992, IEEE Trans. Syst. Man Cybern..

AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects

Qinghua Hu, Xisheng Zhang, Lei Xu, 2016, CCPR.

Large margin clustering on uncertain data by considering probability distribution similarity

Qinghua Hu, Xu Tan, Edward Hung, 2015, Neurocomputing.

A heuristic approach to effective and efficient clustering on uncertain objects

Qinghua Hu, Edward Hung, Lei Xu, 2014, Knowl. Based Syst..

Improving classification accuracy on uncertain data by considering multiple subclasses

Edward Hung, Lei Xu, E. Hung, 2012, Neurocomputing.

Application of adaptive RPCL-CLP with trading system to foreign exchange investment

Lei Xu, Yiu-ming Cheung, Helen Z. H. Lai, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach I for Unsupervised and Semi Unsupervised Learning

Lei Xu, L. Xu, 1997 .

Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification

Lei Xu, Ning Ouyang, Wing-Kai Lam, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

Erkki Oja, Okyay Kaynak, Ethem Alpaydin, 2003, Lecture Notes in Computer Science.

A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination

Lei Xu, L. Xu, 2005, 2005 IEEE International Conference on Granular Computing.

Strip line detection and thinning by RPCL-based local PCA

Lei Xu, Kai Chun Chiu, Zhiyong Liu, 2003, Pattern Recognit. Lett..

Further developments on RHT: basic mechanisms, algorithms, and computational complexities

Lei Xu, E. Oja, E. Oja, 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

2008 Special Issue: BSMART: A Matlab/C toolbox for analysis of multichannel neural time series

Jie Cui, Mingzhou Ding, Steven L. Bressler, 2008 .

BSMART: A Matlab/C

Hualou Liang, Mingzhou Ding, Lei Xu, 2008, Neural Networks.

Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns

Lei Xu, Kai Chun Chiu, K. Chiu, 2003, MLDM.

An extended ASLD trading system to enhance portfolio management

Lei Xu, Yiu-ming Cheung, Kei-Keung Hung, 2003, IEEE Trans. Neural Networks.

Synthesizing Tabular Data using Generative Adversarial Networks pdf

Lei Xu, Kalyan Veeramachaneni, K. Veeramachaneni, 2018, ArXiv.

Independent component ordering in ICA time series analysis

Lei Xu, Yiu-ming Cheung, Yiu-ming Cheung, 2001, Neurocomputing.

Learning local factor analysis versus mixture of factor analyzers with automatic model selection

Lei Shi, Lei Xu, Zhiyong Liu, 2014, Neurocomputing.

An Extended Path Following Algorithm for Graph-Matching Problem

Hong Qiao, Lei Xu, Zhiyong Liu, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bi-linear matrix-variate analyses, integrative hypothesis tests, and case-control studies

Lei Xu, L. Xu, 2015, Applied Informatics.

Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics

Lei Xu, L. Xu, 2013, IScIDE.

Synthesizing Tabular Data using Generative Adversarial Networks

Lei Xu, K. Veeramachaneni, L. Xu, 2018, ArXiv.

DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding

Lei Xu, Shikui Tu, Biwei Huang, 2021, AAAI.

Tri-Structured-Sparsity Induced Joint Feature Selection and Classification for Hybrid Noise Resilient Multilabel Learning

Lei Chen, Lei Xu, Chuancheng Song, 2020, IEEE Access.

An investigation of several typical model selection criteria for detecting the number of signals

Lei Xu, Shikui Tu, Lei Xu, 2011 .

Bayesian Ying Yang Learning ( I ) : A Unified Perspective for Statistical Modeling

Lei Xu, L. Xu, 2004 .

A non-Gaussian factor analysis approach to transcription Network Component Analysis

Dingsheng Luo, Lei Xu, Runsheng Chen, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

BSMART: A Matlab/C

S. Bressler, Hualou Liang, M. Ding, 2008, Neural Networks.

A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem

Lei Xu, Chuangyin Dang, C. Dang, 2002, Neural Computation.

Distance-Based Feature Selection on Classification of Uncertain Objects

Edward Hung, Lei Xu, E. Hung, 2011, Australasian Conference on Artificial Intelligence.

A Heuristic on Effective and Efficient Clustering on Uncertain Objects

Edward Hung, Lei Xu, Chi-Cheong Szeto, 2010, Australasian Conference on Artificial Intelligence.

A theoretical investigation of several model selection criteria for dimensionality reduction

Lei Xu, Shikui Tu, Shikui Tu, 2012, Pattern Recognit. Lett..

Investigation on Several Model Selection Criteria for Determining the Number of Cluster

Lei Xu, Xuelei Hu, L. Xu, 2004 .

Machine learning and intelligence science: IScIDE (C)

Yanda Li, Lei Xu, Yanda Li, 2012 .

A* Tree Search for Portfolio Management pdf

Lei Xu, Shikui Tu, Xiaojie Gao, 2019, ArXiv.

A graph matching algorithm based on concavely regularized convex relaxation

Hong Qiao, Lei Xu, Zhiyong Liu, 2014, Neurocomputing.

A gradient BYY harmony learning rule on Gaussian mixture with automated model selection

Jinwen Ma, Lei Xu, Taijun Wang, 2004, Neurocomputing.

An annealing approach to BYY harmony learning on Gaussian mixture with automated model selection

Jinwen Ma, Lei Xu, Taijun Wang, 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

2008 Special Issue: BSMART: A Matlab/C toolbox for analysis of multichannel neural time series

S. Bressler, Hualou Liang, M. Ding, 2008 .

Investigations on non-Gaussian factor analysis

Lei Xu, Zhiyong Liu, K. Chiu, 2004, IEEE Signal Process. Lett..

Original Contribution: Least mean square error reconstruction principle for self-organizing neural-nets

L. Xu, 1993 .

Synthesizing Tabular Data using Conditional GAN

L. Xu, 2020 .

White Noise Tests and Synthesis of APT Economic Factors Using TFA

Kai Chun Chiu, Lei Xu, K. Chiu, 2004 .

Adaptive improved portfolio Sharpe ratio maximization with diversification

Xiaohui Yu, Lei Xu, Xiaohui Yu, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.