Almost unique specification of discrete finite length signal: From its end point and Fourier transform magnitude. - Lei Xu 001; Pingfan Yan; Tong Chang (ICASSP, 1987)

Structuring Causal Tree Models with Continuous Variables. - Lei Xu 001; Judea Pearl (UAI, 1987)

A method for recognizing configurations consisting of line sets and its application to discrimination of seismic face structures. - Lei Xu 001 (ICPR, 1988)

Structuring causal tree models with continuous variables. - Lei Xu 001 (Int. J. Approx. Reason., 1988)

Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. - Lei Xu 001; Erkki Oja (EURASIP Workshop, 1990)

Randomized Hough transform (RHT). - Pekka Kultanen; Lei Xu 001; Erkki Oja (ICPR (1), 1990)

Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. - Pekka Kultanen; Erkki Oja; Lei Xu 001 (MVA, 1990)

Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps. - Lei Xu 001 (Int. J. Neural Syst., 1990)

A new curve detection method: Randomized Hough transform (RHT). - Lei Xu 001; Erkki Oja; Pekka Kultanen (Pattern Recognit. Lett., 1990)

Neural Nets for Dual Subspace Pattern Recognition Method. - Lei Xu 001; Adam Krzyzak; Erkki Oja (Int. J. Neural Syst., 1991)

Randomized Hough transform applied to translational and rotational motion analysis. - Heikki Kälviäinen; Erkki Oja; Lei Xu 001 (ICPR (1), 1992)

Unsupervised and supervised classifications by rival penalized competitive learning. - Lei Xu 001; Adam Krzyzak; Erkki Oja (ICPR (2), 1992)

Further developments on RHT: basic mechanisms, algorithms, and computational complexities. - Lei Xu 001; Erkki Oja (ICPR (1), 1992)

Self-Organizing Rules for Robust Principal Component Analysis. - Lei Xu 001; Alan L. Yuille (NIPS, 1992)

Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. - Lei Xu 001; Stan Klasa; Alan L. Yuille (Int. J. Neural Syst., 1992)

Modified Hebbian learning for curve and surface fitting. - Lei Xu 001; Erkki Oja; Ching Y. Suen (Neural Networks, 1992)

Methods of combining multiple classifiers and their applications to handwriting recognition. - Lei Xu 001; Adam Krzyzak; Ching Y. Suen (IEEE Trans. Syst. Man Cybern., 1992)

Bayesian Self-Organization. - Alan L. Yuille; Stelios M. Smirnakis; Lei Xu 001 (NIPS, 1993)

Least mean square error reconstruction principle for self-organizing neural-nets. - Lei Xu 001 (Neural Networks, 1993)

Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. - Lei Xu 001; Adam Krzyzak; Erkki Oja (IEEE Trans. Neural Networks, 1993)

Comparisons of Probabilistic and Non-probabilistic Hough Transforms. - Heikki Kälviäinen; Petri Hirvonen; Lei Xu 001; Erkki Oja (ECCV (2), 1994)

On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. - Adam Krzyzak; Stan Klasa; Lei Xu 001 (ICPR (2), 1994)

An Alternative Model for Mixtures of Experts. - Lei Xu 001; Michael I. Jordan; Geoffrey E. Hinton (NIPS, 1994)

On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. - Lei Xu 001; Adam Krzyzak; Alan L. Yuille (Neural Networks, 1994)

A RPCL-CLP architecture for financial time series forecasting. - Yiu-ming Cheung; Wai-Man Leung; Lei Xu 001 (ICNN, 1995)

Least Mean Square Error Reconstruction Learning in Recurrent Network. - Bailing Zhang; Qin Zhou; Irwin King; Lei Xu 001 (ICNN, 1995)

A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machines. - Lei Xu 001 (NIPS, 1995)

Probabilistic and non-probabilistic Hough transforms: overview and comparisons. - Heikki Kälviäinen; Petri Hirvonen; Lei Xu 001; Erkki Oja (Image Vis. Comput., 1995)

Bayesian Self-Organization Driven by Prior Probability Distributions. - Alan L. Yuille; Stelios M. Smirnakis; Lei Xu 001 (Neural Comput., 1995)

Convergence results for the EM approach to mixtures of experts architectures. - Michael I. Jordan; Lei Xu 001 (Neural Networks, 1995)

Robust principal component analysis by self-organizing rules based on statistical physics approach. - Lei Xu 001; Alan L. Yuille (IEEE Trans. Neural Networks, 1995)

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment. - Yiu-ming Cheung; Helen Z. H. Lai; Lei Xu 001 (CIFEr, 1996)

Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model. - Helen Z. H. Lai; Yiu-ming Cheung; Lei Xu 001 (CIFEr, 1996)

Application of adaptive RPCL-CLP with trading system to foreign exchange investment. - Yiu-ming Cheung; Helen Z. H. Lai; Lei Xu 001 (ICNN, 1996)

The probability distribution of parameters learned with the EM algorithm. - Kazushi Ikeda; Lei Xu 001 (ICNN, 1996)

How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition. - Lei Xu 001 (ICNN, 1996)

Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction. - Bailing Zhang; Lei Xu 001; Minyue Fu 001 (Int. J. Neural Syst., 1996)

On Convergence Properties of the EM Algorithm for Gaussian Mixtures. - Lei Xu 001; Michael I. Jordan (Neural Comput., 1996)

Adaptive supervised learning decision networks for traders and portfolios. - Lei Xu 001; Yiu-ming Cheung (CIFEr, 1997)

Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities. - Lei Xu 001; Chi Chiu Cheung; Jiong Ruan; Shun-ichi Amari (ESANN, 1997)

Some further studies on detection the number of clusters. - Yiu-Ming Cheung; Lei Xu 001 (ICNN, 1997)

Separation of two independent sources by the information-theoretic approach with cubic nonlinearity. - Chi Chiu Cheung; Lei Xu 001 (ICNN, 1997)

An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts. - Wing-Kai Lam; Fai Yung; Lei Xu 001 (ICNN, 1997)

New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals. - Lei Xu 001 (ICNN, 1997)

Independent component analysis by the information-theoretic approach with mixture of densities. - Lei Xu 001; Chi Chiu Cheung; Howard Hua Yang; Shun-ichi Amari (ICNN, 1997)

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment. - Yiu-ming Cheung; Wai-Man Leung; Lei Xu 001 (Int. J. Neural Syst., 1997)

Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures. - Lei Xu 001 (Neural Process. Lett., 1997)

Bayesian Ying-Yang machine, clustering and number of clusters. - Lei Xu 001 (Pattern Recognit. Lett., 1997)

Yet another algorithm which can generate topography map. - John Sum; Chi-Sing Leung; Lai-Wan Chan; Lei Xu 001 (IEEE Trans. Neural Networks, 1997)

Cointegration by MCA and modular MCA. - Lei Xu 001; Wai-Man Leung (CIFEr, 1998)

Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment. - Lei Xu 001 (ICASSP, 1998)

An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks. - Wing-Kai Lam; Lei Xu 001 (ICASSP, 1998)

Rival Penalized Competitive Learning Based Separator on Binary Sources Separation. - Yiu-ming Cheung; Lei Xu 001 (ICONIP, 1998)

Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting. - Ho Yin Kwok; Chi-Ming Chen; Lei Xu 001 (ICONIP, 1998)

An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts. - Wing-Kai Lam; Lei Xu 001 (ICONIP, 1998)

The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm. - Jinwen Ma; Lei Xu 001 (ICONIP, 1998)

Financial Prediction by Finite Mixture GARCH Model. - Wai Ching Wong; Fung Yip; Lei Xu 001 (ICONIP, 1998)

The Role of Statistical Theory in the Future Research on Brain-like Systems. - Lei Xu 001 (ICONIP, 1998)

Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (VII): Data Smoothing. - Lei Xu 001 (ICONIP, 1998)

BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number. - Lei Xu 001 (ICONIP, 1998)

Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control. - Lei Xu 001 (ICONIP, 1998)

Intra-block algorithm for digital watermarking. - F. Y. Duan; Irwin King; Lai-Wan Chan; Lei Xu 001 (ICPR, 1998)

Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification. - Wing-Kai Lam; Ning Ouyang; Lei Xu 001 (ICPR, 1998)

Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images. - F. Y. Duan; Irwin King; Lai-Wan Chan; Lei Xu 001 (Multimedia Information Analysis and Retrieval, 1998)

RBF nets, mixture experts, and Bayesian Ying-Yang learning. - Lei Xu 001 (Neurocomputing, 1998)

Bayesian Kullback Ying-Yang dependence reduction theory. - Lei Xu 001 (Neurocomputing, 1998)

Learned parametric mixture based ICA algorithm. - Lei Xu 001; Chi Chiu Cheung; Shun-ichi Amari (Neurocomputing, 1998)

Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration. - Lei Xu 001 (IJCNN, 1999)

An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation. - Yiu-Ming Cheung; Lei Xu 001 (IJCNN, 1999)

Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation. - Yiu-Ming Cheung; Lei Xu 001 (IJCNN, 1999)

An empirical method to select dominant independent components in ICA for time series analysis. - Yiu-Ming Cheung; Lei Xu 001 (IJCNN, 1999)

On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique. - Ping Guo; Lei Xu 001 (IJCNN, 1999)

Further improvement of adaptive supervised learning decision (ASLD) network in stock market. - Kei-Keung Hung; Lei Xu 001 (IJCNN, 1999)

Bayesian ying-yang supervised learning, modular models, and three layer nets. - Lei Xu 001 (IJCNN, 1999)

BYY data smoothing based learning on a small size of samples. - Lei Xu 001 (IJCNN, 1999)

Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation. - Lei Xu 001 (IJCNN, 1999)

Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components. - Lei Xu 001 (IJCNN, 1999)

Data mining, unsupervised learning and Bayesian ying-yang theory. - Lei Xu 001 (IJCNN, 1999)

The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis. - Yiu-ming Cheung; Lei Xu 001 (NSIP, 1999)

Region number determination in automatic image segmentation based on BKYY model selection criterion. - Ping Guo; Chi Chiu Cheung; Lei Xu 001 (NSIP, 1999)

Further study of adaptive supervised learning decision (ASLD) network in stock market. - Kei-Keung Hung; Lei Xu 001 (NSIP, 1999)

Improved learning algorithms for mixture of experts in multiclass classification. - Ke Chen 001; Lei Xu 001; Huisheng Chi (Neural Networks, 1999)

New Sharpe-ratio-related methods for portfolio selection. - Kei-Keung Hung; Chi Chiu Cheung; Lei Xu 001 (CIFEr, 2000)

Best Harmony Learning. - Lei Xu 001 (IDEAL, 2000)

A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States. - Yiu-ming Cheung; Lei Xu 001 (IJCNN (4), 2000)

An Application of Independent Component Analysis in the Arbitrage Pricing Theory. - Fung Yip; Lei Xu 001 (IJCNN (5), 2000)

Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification. - Xiaohui Yu 001; Lei Xu 001 (IJCNN (4), 2000)

Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation. - Yiu-ming Cheung; Lei Xu 001 (Int. J. Neural Syst., 2000)

Some global and local convergence analysis on the information-theoretic independent component analysis approach. - Chi Chiu Cheung; Lei Xu 001 (Neurocomputing, 2000)

A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints. - Chuangyin Dang; Lei Xu 001 (J. Glob. Optim., 2000)

BYY learning system and theory for parameter estimation, data smoothing based regularization and model selection. - Lei Xu 001 (Neural Parallel Sci. Comput., 2000)

An RPCL-based approach for Markov model identification with unknown state number. - Yiu-ming Cheung; Lei Xu 001 (IEEE Signal Process. Lett., 2000)

Temporal BYY learning for state space approach, hidden Markov model, and blind source separation. - Lei Xu 001 (IEEE Trans. Signal Process., 2000)

RPCL-Based Local PCA Algorithm. - Zhiyong Liu; Lei Xu 001 (ICDM, 2001)

Scan array solution for testing power and testing time. - Lei Xu 001; Yihe Sun; Hongyi Chen (ITC, 2001)

An Overview on Unsupervised Learning from Data Mining Perspective. - Lei Xu 001 (WSOM, 2001)

Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models. - Lei Xu 001 (Int. J. Neural Syst., 2001)

Independent component ordering in ICA time series analysis. - Yiu-ming Cheung; Lei Xu 001 (Neurocomputing, 2001)

Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures. - Jinwen Ma; Lei Xu 001; Michael I. Jordan (Neural Comput., 2001)

A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem. - Chuangyin Dang; Lei Xu 001 (Neural Networks, 2001)

BYY harmony learning, independent state space, and generalized APT financial analyses. - Lei Xu 001 (IEEE Trans. Neural Networks, 2001)

A PCA approach for fast retrieval of structural patterns in attributed graphs. - Lei Xu 001; Irwin King (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management. - Kai Chun Chiu; Lei Xu 001 (ICANN, 2002)

On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model. - Zhiyong Liu; Lei Xu 001 (ICANN, 2002)

Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning. - Kai Chun Chiu; Lei Xu 001 (IDEAL, 2002)

A Comparative Study on Three MAP Factor Estimate Approaches for NFA. - Zhiyong Liu; Lei Xu 001 (IDEAL, 2002)

Mining Dependence Structures from Statistical Learning Perspective. - Lei Xu 001 (IDEAL, 2002)

White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis. - Kai Chun Chiu; Lei Xu 001 (JCIS, 2002)

A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem. - Chuangyin Dang; Lei Xu 001 (Neural Comput., 2002)

BYY harmony learning, structural RPCL, and topological self-organizing on mixture models. - Lei Xu 001 (Neural Networks, 2002)

Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses". - Lei Xu 001 (IEEE Trans. Neural Networks, 2002)

On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model. - Kai Chun Chiu; Lei Xu 001 (CIFEr, 2003)

Local PCA for Strip Line Detection and Thinning. - Zhiyong Liu; Kai Chun Chiu; Lei Xu 001 (EMMCVPR, 2003)

Empirical Comparison between Two Computational Strategies for Topological Self-Organization. - Bonnie Kit Yee Chan; Wilson Wei Sheng Chu; Lei Xu 001 (IDEAL, 2003)

A Comparative Study of Several Cluster Number Selection Criteria. - Xuelei Hu; Lei Xu 001 (IDEAL, 2003)

Distribution approximation, combinatorial optimization, and Lagrange-Barrier. - Lei Xu 001 (IJCNN, 2003)

Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents. - Lei Xu 001 (IJCNN, 2003)

Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis. - Jeong-Yon Shim; Lei Xu 001 (ISCAS (5), 2003)

Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns. - Kai Chun Chiu; Lei Xu 001 (MLDM, 2003)

Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm. - Yiu-ming Cheung; Lei Xu 001 (Neurocomputing, 2003)

Topological local principal component analysis. - Zhiyong Liu; Lei Xu 001 (Neurocomputing, 2003)

BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units. - Lei Xu 001 (Neurocomputing, 2003)

Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301]. - Lei Xu 001 (Neurocomputing, 2003)

Improved system for object detection and star/galaxy classification via local subspace analysis. - Zhiyong Liu; Kai Chun Chiu; Lei Xu 001 (Neural Networks, 2003)

Data smoothing regularization, multi-sets-learning, and problem solving strategies. - Lei Xu 001 (Neural Networks, 2003)

Strip line detection and thinning by RPCL-based local PCA. - Zhiyong Liu; Kai Chun Chiu; Lei Xu 001 (Pattern Recognit. Lett., 2003)

An extended ASLD trading system to enhance portfolio management. - Kei-Keung Hung; Yiu-ming Cheung; Lei Xu 001 (IEEE Trans. Neural Networks, 2003)

Dual multivariate auto-regressive modeling in state space for temporal signal separation. - Yiu-ming Cheung; Lei Xu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation". - Yiu-ming Cheung; Lei Xu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition. - Jinwen Ma; Zhiyong Liu; Lei Xu 001 (IDEAL, 2004)

Automatic Cluster Number Determination via BYY Harmony Learning. - Xuelei Hu; Lei Xu 001 (ISNN (1), 2004)

Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management. - Kai Chun Chiu; Lei Xu 001 (Decis. Support Syst., 2004)

A gradient BYY harmony learning rule on Gaussian mixture with automated model selection. - Jinwen Ma; Taijun Wang; Lei Xu 001 (Neurocomputing, 2004)

One-Bit-Matching Conjecture for Independent Component Analysis. - Zhiyong Liu; Kai Chun Chiu; Lei Xu 001 (Neural Comput., 2004)

A comparative investigation on subspace dimension determination. - Xuelei Hu; Lei Xu 001 (Neural Networks, 2004)

Investigations on non-Gaussian factor analysis. - Zhiyong Liu; Kai Chun Chiu; Lei Xu 001 (IEEE Signal Process. Lett., 2004)

Guest Editorial Special Issue on Information Theoretic Learning. - José Carlos Príncipe; Erkki Oja; Lei Xu 001; Andrzej Cichocki; Deniz Erdogmus (IEEE Trans. Neural Networks, 2004)

Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination. - Lei Xu 001 (IEEE Trans. Neural Networks, 2004)

Temporal BYY encoding, Markovian state spaces, and space dimension determination. - Lei Xu 001 (IEEE Trans. Neural Networks, 2004)

A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination. - Lei Xu 001 (GrC, 2005)

One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization. - Lei Xu 001 (ISNN (1), 2005)

Nonlinear analysis of steel frameworks through direct modification of member stiffness properties. - Lei Xu 001; Yuxin Liu; Donald E. Grierson (Adv. Eng. Softw., 2005)

Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture. - Jinwen Ma; Lei Xu 001 (Neurocomputing, 2005)

A Further Result on the ICA One-Bit-Matching Conjecture. - Jinwen Ma; Zhiyong Liu; Lei Xu 001 (Neural Comput., 2005)

A Comparative Investigation on Model Selection in Binary Factor Analysis. - Yujia An; Xuelei Hu; Lei Xu 001 (Foundations of Data Mining and knowledge Discovery, 2005)

Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network. - Lei Shi 016; Lei Xu 001 (ICANN (1), 2006)

Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application. - Lei Shi 016; Lei Xu 001 (ICANN (2), 2006)

A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models. - Xuelei Hu; Lei Xu 001 (ISNN (1), 2006)

A Comparative Investigation on Model Selection in Independent Factor Analysis. - Yujia An; Xuelei Hu; Lei Xu 001 (J. Math. Model. Algorithms, 2006)

Multisets mixture learning-based ellipse detection. - Zhiyong Liu 001; Hong Qiao; Lei Xu 001 (Pattern Recognit., 2006)

Investigation on Multisets Mixture Learning Based Object Detection. - Zhiyong Liu 001; Hong Qiao; Lei Xu 001 (Int. J. Pattern Recognit. Artif. Intell., 2007)

One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics. - Lei Xu 001 (Neural Comput., 2007)

A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving. - Lei Xu 001 (Pattern Recognit., 2007)

Bayesian Ying Yang learning. - Lei Xu 001 (Scholarpedia, 2007)

Rival penalized competitive learning. - Lei Xu 001 (Scholarpedia, 2007)

A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective. - Lei Xu 001 (Challenges for Computational Intelligence, 2007)

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. - Ke Sun 001; Lei Xu 001 (ICANN (1), 2008)

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. - Shikui Tu; Lei Shi 016; Lei Xu 001 (ICANN (1), 2008)

Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family. - Lei Xu 001 (WCCI, 2008)

A Probability Theory Perspective on the Zadeh Fuzzy System. - Qing Shi Gao; Xiao Yu Gao; Lei Xu 001 (Data Mining: Foundations and Practice, 2008)

Canonical Dual Approach to Binary Factor Analysis. - Ke Sun 001; Shikui Tu; David Yang Gao; Lei Xu 001 (ICA, 2009)

Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. - Shikui Tu; Lei Xu 001 (ICA, 2009)

Independent Subspaces. - Lei Xu 001 (Encyclopedia of Artificial Intelligence, 2009)

Combining Classifiers and Learning Mixture-of-Experts. - Lei Xu 001; Shun-ichi Amari (Encyclopedia of Artificial Intelligence, 2009)

Randomized Hough Transform. - Lei Xu 001; Erkki Oja (Encyclopedia of Artificial Intelligence, 2009)

Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. - Lei Shi 016; Shikui Tu; Lei Xu 001 (BIBM, 2010)

A binary matrix factorization algorithm for protein complex prediction. - Shikui Tu; Lei Xu 001; Runsheng Chen (BIBM Workshops, 2010)

GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection. - Dan Su; Xihong Wu; Lei Xu 001 (ICASSP, 2010)

A study of several model selection criteria for determining the number of signals. - Shikui Tu; Lei Xu 001 (ICASSP, 2010)

Influence of Semi-Rigid Connections and Local Joint Damage on Progressive Collapse of Steel Frameworks. - Yuxin Liu; Lei Xu 001; Donald E. Grierson (Comput. Aided Civ. Infrastructure Eng., 2010)

Machine learning problems from optimization perspective. - Lei Xu 001 (J. Glob. Optim., 2010)

A Weight Regularized Relaxation Based Graph Matching Algorithm. - Zhiyong Liu 001; Hong Qiao; Lei Xu 001 (IScIDE, 2011)

A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSR. - Zaihu Pang; Xihong Wu; Lei Xu 001 (IScIDE, 2011)

Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning. - Lei Shi 016; Penghui Wang; Hongwei Liu 001; Lei Xu 001; Zheng Bao 001 (IEEE Trans. Signal Process., 2011)

A non-Gaussian factor analysis approach to transcription Network Component Analysis. - Shikui Tu; Dingsheng Luo; Runsheng Chen; Lei Xu 001 (CIBCB, 2012)

Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. - Zaihu Pang; Shikui Tu; Xihong Wu; Lei Xu 001 (IScIDE, 2012)

Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer. - Lei Xu 001 (IScIDE, 2012)

Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. - Shikui Tu; Runsheng Chen; Lei Xu 001 (J. Integr. Bioinform., 2012)

An Extended Path Following Algorithm for Graph-Matching Problem. - Zhiyong Liu 001; Hong Qiao; Lei Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A theoretical investigation of several model selection criteria for dimensionality reduction. - Shikui Tu; Lei Xu 001 (Pattern Recognit. Lett., 2012)

Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics. - Lei Xu 001 (IScIDE, 2013)

A graph matching algorithm based on concavely regularized convex relaxation. - Zhiyong Liu 001; Hong Qiao; Li-Hao Jia; Lei Xu 001 (Neurocomputing, 2014)

A comparative study of RPCL and MCE based discriminative training methods for LVCSR. - Zaihu Pang; Shikui Tu; Xihong Wu; Lei Xu 001 (Neurocomputing, 2014)

Learning local factor analysis versus mixture of factor analyzers with automatic model selection. - Lei Shi 016; Zhiyong Liu; Shikui Tu; Lei Xu 001 (Neurocomputing, 2014)

Learning binary factor analysis with automatic model selection. - Shikui Tu; Lei Xu 001 (Neurocomputing, 2014)

Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers. - Kai-Ming Jiang; Bao-Liang Lu; Lei Xu 001 (IScIDE (2), 2015)

Machine Learning. - James Tin-Yau Kwok; Zhi-Hua Zhou; Lei Xu 001 (Handbook of Computational Intelligence, 2015)

A comparison study on multivariate methods for joint-SNVs association analysis. - Jin-Xiong Lv; Han-Chen Huang; Runsheng Chen; Lei Xu 001 (BIBM, 2016)

A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. - Weijian Long; Shikui Tu; Lei Xu 001 (IDEAL, 2017)

The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. - Yajing Chen; Shikui Tu; Lei Xu 001 (IScIDE, 2017)

Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. - Yajing Chen; Shikui Tu; Lei Xu 001 (IScIDE, 2017)

A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (IScIDE, 2017)

Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. - Yajing Chen; Shikui Tu; Yuqi Yi; Lei Xu 001 (CoRR, 2017)

Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes. - Jin-Xiong Lv; Han-Chen Huang; Runsheng Chen; Lei Xu 001 (Int. J. Data Min. Bioinform., 2017)

Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease. - Kai-Ming Jiang; Ya-Jing Chen; Jin-Xiong Lv; Bao-Liang Lu; Lei Xu 001 (Neurocomputing, 2017)

An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. - Han-Chen Huang; Xianzi Wen; Shikui Tu; Jiafu Ji; Runsheng Chen; Lei Xu 001 (IScIDE, 2018)

A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (BIBM, 2019)

Revisit Lmser from a Deep Learning Perspective. - Wenjing Huang; Shikui Tu; Lei Xu 001 (IScIDE (2), 2019)

Computational Decomposition of Style for Controllable and Enhanced Style Transfer. - Minchao Li; Shikui Tu; Lei Xu 001 (IScIDE (2), 2019)

A k-Dense-UNet for Biomedical Image Segmentation. - Zhiwen Qiang; Shikui Tu; Lei Xu 001 (IScIDE (1), 2019)

Deep IA-BI and Five Actions in Circling. - Lei Xu 001 (IScIDE (1), 2019)

GAN Flexible Lmser for Super-resolution. - Peiying Li; Shikui Tu; Lei Xu 001 (ACM Multimedia, 2019)

Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. - Qingsong Xie; Shikui Tu; Guoxing Wang; Yong Lian 001; Lei Xu 001 (IEEE Access, 2019)

Revisit Lmser and its further development based on convolutional layers. - Wenjing Huang; Shikui Tu; Lei Xu 001 (CoRR, 2019)

An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation. - Lei Xu 001 (IEEE CAA J. Autom. Sinica, 2019)

Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. - Qingsong Xie; Shikui Tu; Guoxing Wang; Yong Lian 001; Lei Xu 001 (IJCAI, 2020)

Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. - Zhihao Xing; Shikui Tu; Lei Xu 001 (CoRR, 2020)

Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (Int. J. Data Min. Bioinform., 2020)

Learning deep IA bidirectional intelligence. - Lei Xu 001 (Frontiers Inf. Technol. Electron. Eng., 2020)

DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. - Zhicheng Wang; Biwei Huang; Shikui Tu; Kun Zhang 001; Lei Xu 001 (AAAI, 2021)

IA-GM: A Deep Bidirectional Learning Method for Graph Matching. - Kaixuan Zhao; Shikui Tu; Lei Xu 001 (AAAI, 2021)

Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. - Boheng Cao; Shikui Tu; Lei Xu 001 (BIBM, 2021)

Multi-source unsupervised domain adaptation for ECG classification. - Fucheng Deng; Shikui Tu; Lei Xu 001 (BIBM, 2021)

Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. - Rui Ma; Shikui Tu; Peiying Li; Jiafeng Zhou; Bing Zhao; Jieqing Wan; Lei Xu 001 (BIBM, 2021)

RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. - Haodong Nie; Shikui Tu; Lei Xu 001 (BIBM, 2021)

A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. - Qingjie Sheng; Shikui Tu; Lei Xu 001 (PRICAI (1), 2021)

Controllable stroke-based sketch synthesis from a self-organized latent space. - Sicong Zang; Shikui Tu; Lei Xu 001 (Neural Networks, 2021)

Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. - Peiying Li; Boheng Cao; Shikui Tu; Lei Xu 001 (BIBM, 2022)

Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. - Qin Ma; Lin Zeng; Shikui Tu; Lei Xu 001 (BIBM, 2022)

VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. - Lin Zeng; Haoran Ma; Long Xiang; Shikui Tu; Ying Wang; Liebin Zhao; Lei Xu 001 (BIBM, 2022)

A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. - Lin Zhang; Yangxin Zhu; Shikui Tu; Lei Xu 001 (BioCAS, 2022)

Learning to Generate Textual Adversarial Examples. - Xiangzhe Guo; Shikui Tu; Lei Xu 001 (ICANN (1), 2022)

Efficient Learning for AlphaZero via Path Consistency. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (ICML, 2022)

Searching for Textual Adversarial Examples with Learned Strategy. - Xiangzhe Guo; Ruidan Su; Shikui Tu; Lei Xu 001 (ICONIP (4), 2022)

IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. - Haoran Ma; Shikui Tu; Lei Xu 001 (ICONIP (1), 2022)

Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. - Wenjing Huang; Shikui Tu; Lei Xu 001 (ACM Multimedia, 2022)

Deep Rival Penalized Competitive Learning for low-resolution face recognition. - Peiying Li; Shikui Tu; Lei Xu 001 (Neural Networks, 2022)

Deep CNN Based Lmser and Strengths of Two Built-In Dualities. - Wenjing Huang; Shikui Tu; Lei Xu 001 (Neural Process. Lett., 2022)

Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. - Peng Zhang 098; Shikui Tu; Wen Zhang; Lei Xu 001 (Briefings Bioinform., 2022)

Self-Supervised Bidirectional Learning for Graph Matching. - Wenqi Guo; Lin Zhang; Shikui Tu; Lei Xu 001 (AAAI, 2023)

Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. - Sicong Zang; Shikui Tu; Lei Xu 001 (AAAI, 2023)

PEST: A General-Purpose Protein Embedding Model for Homology Search. - Yongchang Liu; Peiying Li; Shikui Tu; Lei Xu 001 (BIBM, 2023)

A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. - Lin Zhang; Yun Ren; Fang Yuan; Yangxin Zhu; Shikui Tu; Yucai Chen; Lei Xu 001 (BIBM, 2023)

Multi-source unsupervised domain-adaptation for automatic sleep staging. - Yangxin Zhu; Shikui Tu; Lin Zhang; Lei Xu 001 (BIBM, 2023)

DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. - Dengwei Zhao; Shuai Yuan 016; Yanan Sun 003; Shikui Tu; Lei Xu 001 (DATE, 2023)

A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. - Yao Zhou; Ruidan Su; Shikui Tu; Lei Xu 001 (ICASSP, 2023)

A Dynamic Graph Convolutional Network for Anti-money Laundering. - Tianpeng Wei; Biyang Zeng; Wenqi Guo; Zhenyu Guo; Shikui Tu; Lei Xu 001 (ICIC (5), 2023)

Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. - Mingfei Li; Shikui Tu; Lei Xu 001 (ICONIP (1), 2023)

GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. - Peiying Li; Yongchang Liu; Shikui Tu; Lei Xu 001 (IJCAI, 2023)

Generalized Weighted Path Consistency for Mastering Atari Games. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (NeurIPS, 2023)

RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. - Yongchang Liu; Peiying Li; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

IA-FaceS: A bidirectional method for semantic face editing. - Wenjing Huang; Shikui Tu; Lei Xu 001 (Neural Networks, 2023)

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. - Peiying Li; Yongchang Liu; Jiafeng Zhou; Shikui Tu; Bing Zhao; Jieqing Wan; Yunjun Yang; Lei Xu 001 (Patterns, 2023)

KGDiff: towards explainable target-aware molecule generation with knowledge guidance. - Hao Qian; Wenjing Huang; Shikui Tu; Lei Xu 001 (Briefings Bioinform., 2023)

Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. - Zhousan Xie; Shikui Tu; Lei Xu 001 (AAAI, 2024)

A Multimodal Deep Neural Network for Causally Learning Chest X-ray Images. - Qin Ma; Lin Zeng; Shikui Tu; Lei Xu 001 (BIBM, 2024)

MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection. - Zeyu Zhang 006; Nengmin Yi; Shengbo Tan; Ying Cai; Yi Yang; Lei Xu 001; Qingtai Li; Zhang Yi; Daji Ergu; Yang Zhao 019 (BIBM, 2024)

Novelty Encouraged Beam Clustering Search for Multi-Objective De Novo Diverse Drug Design. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (BIBM, 2024)

SketchEdit: Editing Freehand Sketches at the Stroke-Level. - Tengjie Li; Shikui Tu; Lei Xu 001 (IJCAI, 2024)

Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. - Xin Wang; Tengjie Li; Sicong Zang; Shikui Tu; Lei Xu 001 (IJCAI, 2024)

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. - Yupei Yang; Biwei Huang; Shikui Tu; Lei Xu 001 (IJCAI, 2024)

SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (NeurIPS, 2024)

Lmser-pix2seq: Learning stable sketch representations for sketch healing. - Tengjie Li; Sicong Zang; Shikui Tu; Lei Xu 001 (Comput. Vis. Image Underst., 2024)

A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market. - Ruidan Su; Chun Chi; Shikui Tu; Lei Xu 001 (IET Signal Process., 2024)

De Novo Drug Design by Multi-Objective Path Consistency Learning With Beam A* Search. - Dengwei Zhao; Jingyuan Zhou; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. - Tianxiang Qin; Shikui Tu; Lei Xu 001 (Mach. Learn., 2024)

Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis. - Sicong Zang; Shikui Tu; Lei Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations. - Yupei Yang; Biwei Huang; Fan Feng; Xinyue Wang; Shikui Tu; Lei Xu 001 (ICLR, 2025)

Cauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes. - Qin Ma; Shikui Tu; Lei Xu 001 (Int. J. Approx. Reason., 2025)

PFB-Diff: Progressive Feature Blending diffusion for text-driven image editing. - Wenjing Huang; Shikui Tu; Lei Xu 001 (Neural Networks, 2025)

SketchMLP: effectively utilize rasterized images and drawing sequences for sketch recognition. - Tengjie Li; Shikui Tu; Lei Xu 001 (Mach. Learn., 2025)