Lei Xu

Orcid: 0000-0002-2752-1573

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 database1, Lei Xu authored at least 245 papers between 1987 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
KGDiff: towards explainable target-aware molecule generation with knowledge guidance.
Briefings Bioinform., November, 2023

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk.
Patterns, April, 2023

IA-FaceS: A bidirectional method for semantic face editing.
Neural Networks, January, 2023

RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing.
CoRR, 2023

Generalized Weighted Path Consistency for Mastering Atari Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Dynamic Graph Convolutional Network for Anti-money Laundering.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection.
Proceedings of the IEEE International Conference on Acoustics, 2023

DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Multi-source unsupervised domain-adaptation for automatic sleep staging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PEST: A General-Purpose Protein Embedding Model for Homology Search.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Bidirectional Learning for Graph Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism.
Briefings Bioinform., November, 2022

Deep CNN Based Lmser and Strengths of Two Built-In Dualities.
Neural Process. Lett., 2022

Deep Rival Penalized Competitive Learning for low-resolution face recognition.
Neural Networks, 2022

Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Searching for Textual Adversarial Examples with Learned Strategy.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Efficient Learning for AlphaZero via Path Consistency.
Proceedings of the International Conference on Machine Learning, 2022

Learning to Generate Textual Adversarial Examples.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Controllable stroke-based sketch synthesis from a self-organized latent space.
Neural Networks, 2021

A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-source unsupervised domain adaptation for ECG classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

IA-GM: A Deep Bidirectional Learning Method for Graph Matching.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning deep IA bidirectional intelligence.
Frontiers Inf. Technol. Electron. Eng., 2020

Two-variate phenotype-targeted 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 Twenty-Ninth 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

Revisit Lmser and its further development based on convolutional layers.
CoRR, 2019

Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram.
IEEE Access, 2019

GAN Flexible Lmser for Super-resolution.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep IA-BI and Five Actions in Circling.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

A k-Dense-UNet for Biomedical Image Segmentation.
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

Revisit Lmser from a Deep Learning Perspective.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study.
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 joint-SNVs analysis and detection for bipolar disorder susceptibility genes.
Int. J. Data Min. Bioinform., 2017

Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories.
CoRR, 2017

A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Survival-Expression Map and Essential Forms of Survival-Expression 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 Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016
A comparison study on multivariate methods for joint-SNVs association analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

2014
Learning binary factor analysis with automatic model selection.
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

A graph matching algorithm based on concavely regularized convex relaxation.
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

An Extended Path Following Algorithm for Graph-Matching Problem.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm.
J. Integr. Bioinform., 2012

Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

A non-Gaussian 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 Ying-Yang 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

A Weight Regularized Relaxation Based Graph Matching Algorithm.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

2010
Machine learning problems from optimization perspective.
J. Glob. Optim., 2010

Influence of Semi-Rigid Connections and Local Joint Damage on Progressive Collapse of Steel Frameworks.
Comput. Aided Civ. Infrastructure Eng., 2010

A study of several model selection criteria for determining the number of signals.
Proceedings of the IEEE International Conference on Acoustics, 2010

GMM-HMM 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

A binary matrix factorization algorithm for protein complex prediction.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Randomized Hough Transform.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Combining Classifiers and Learning Mixture-of-Experts.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Independent Subspaces.
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

Canonical Dual Approach to Binary Factor Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
A Probability Theory Perspective on the Zadeh Fuzzy System.
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

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis.
Proceedings of the Artificial Neural Networks, 2008

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis.
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

Rival penalized competitive learning.
Scholarpedia, 2007

Bayesian Ying Yang learning.
Scholarpedia, 2007

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

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

Investigation on Multisets Mixture Learning Based Object Detection.
Int. J. Pattern Recognit. Artif. Intell., 2007

2006
Multisets mixture learning-based ellipse detection.
Pattern Recognit., 2006

A Comparative Investigation on Model Selection in Independent Factor Analysis.
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 Feed-Forward Neural Network.
Proceedings of the Artificial Neural Networks, 2006

2005
A Comparative Investigation on Model Selection in Binary Factor Analysis.
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005

A Further Result on the ICA One-Bit-Matching Conjecture.
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

One-Bit-Matching ICA Theorem, Convex-Concave 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
Temporal BYY encoding, Markovian state spaces, and space dimension determination.
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

Guest Editorial Special Issue on Information Theoretic Learning.
IEEE Trans. Neural Networks, 2004

Investigations on non-Gaussian factor analysis.
IEEE Signal Process. Lett., 2004

A comparative investigation on subspace dimension determination.
Neural Networks, 2004

One-Bit-Matching Conjecture for Independent Component Analysis.
Neural Comput., 2004

A gradient BYY harmony learning rule on Gaussian mixture with automated model selection.
Neurocomputing, 2004

Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management.
Decis. Support Syst., 2004

Automatic Cluster Number Determination via BYY Harmony Learning.
Proceedings of the Advances in Neural Networks, 2004

Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation".
IEEE Trans. Syst. Man Cybern. Part B, 2003

Dual multivariate auto-regressive modeling in state space for temporal signal separation.
IEEE Trans. Syst. Man Cybern. Part B, 2003

An extended ASLD trading system to enhance portfolio management.
IEEE Trans. Neural Networks, 2003

Strip line detection and thinning by RPCL-based local PCA.
Pattern Recognit. Lett., 2003

Data smoothing regularization, multi-sets-learning, 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) 277-301].
Neurocomputing, 2003

BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units.
Neurocomputing, 2003

Topological local principal component analysis.
Neurocomputing, 2003

Further studies on temporal factor analysis: comparison and Kalman filter-based 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

A Comparative Study of Several Cluster Number Selection Criteria.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Empirical Comparison between Two Computational Strategies for Topological Self-Organization.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Local PCA for Strip Line Detection and Thinning.
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 state-space 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 self-organizing on mixture models.
Neural Networks, 2002

A Lagrange Multiplier and Hopfield-Type 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

Mining Dependence Structures from Statistical Learning Perspective.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

A Comparative Study on Three MAP Factor Estimate Approaches for NFA.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model.
Proceedings of the Artificial Neural Networks, 2002

Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management.
Proceedings of the Artificial Neural Networks, 2002

2001
A PCA approach for fast retrieval of structural patterns in attributed graphs.
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

Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures.
Neural Comput., 2001

Independent component ordering in ICA time series analysis.
Neurocomputing, 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.
Int. J. Neural Syst., 2001

An Overview on Unsupervised Learning from Data Mining Perspective.
Proceedings of the Advances in Self-Organising Maps, 2001

Scan array solution for testing power and testing time.
Proceedings of the Proceedings IEEE International Test Conference 2001, Baltimore, MD, USA, 30 October, 2001

RPCL-Based Local PCA Algorithm.
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

An RPCL-based approach for Markov model identification with unknown state number.
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 information-theoretic independent component analysis approach.
Neurocomputing, 2000

Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation.
Int. J. Neural Syst., 2000

Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

An Application of Independent Component Analysis in the Arbitrage Pricing Theory.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Best Harmony Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

New Sharpe-ratio-related methods for portfolio selection.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1999
Improved learning algorithms for mixture of experts in multiclass classification.
Neural Networks, 1999

Further study of adaptive supervised learning decision (ASLD) network in stock market.
Proceedings of the IEEE-EURASIP 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 IEEE-EURASIP 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 IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Data mining, unsupervised learning and Bayesian ying-yang theory.
Proceedings of the International Joint Conference Neural Networks, 1999

Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components.
Proceedings of the International Joint Conference Neural Networks, 1999

Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation.
Proceedings of the International Joint Conference Neural Networks, 1999

BYY data smoothing based learning on a small size of samples.
Proceedings of the International Joint Conference Neural Networks, 1999

Bayesian ying-yang supervised learning, modular models, and three layer nets.
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 seesaw-mapping technique on temporal source separation.
Proceedings of the International Joint Conference Neural Networks, 1999

An ICA algorithm with adaptive-learned 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 sensor-motor integration.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Learned parametric mixture based ICA algorithm.
Neurocomputing, 1998

Bayesian Kullback Ying-Yang dependence reduction theory.
Neurocomputing, 1998

RBF nets, mixture experts, and Bayesian Ying-Yang learning.
Neurocomputing, 1998

Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images.
Proceedings of the Multimedia Information Analysis and Retrieval, 1998

Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Intra-block algorithm for digital watermarking.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Bayesian Ying-Yang 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, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Bayesian Ying-Yang 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 Brain-like 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 Ying-Yang 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 Ying-Yang 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

Cointegration by MCA and modular MCA.
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998

1997
Yet another algorithm which can generate topography map.
IEEE Trans. Neural Networks, 1997

Bayesian Ying-Yang machine, clustering and number of clusters.
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 information-theoretic approach with mixture of densities.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Separation of two independent sources by the information-theoretic approach with cubic nonlinearity.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Some further studies on detection the number of clusters.
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 5th Eurorean Symposium on Artificial Neural Networks, 1997

Adaptive supervised learning decision networks for traders and portfolios.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1996
On Convergence Properties of the EM Algorithm for Gaussian Mixtures.
Neural Comput., 1996

Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction.
Int. J. Neural Syst., 1996

How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

The probability distribution of parameters learned with the EM algorithm.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Application of adaptive RPCL-CLP 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 self-organizing rules based on statistical physics approach.
IEEE Trans. Neural Networks, 1995

Convergence results for the EM approach to mixtures of experts architectures.
Neural Networks, 1995

Bayesian Self-Organization Driven by Prior Probability Distributions.
Neural Comput., 1995

Probabilistic and non-probabilistic Hough transforms: overview and comparisons.
Image Vis. Comput., 1995

A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machines.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Least Mean Square Error Reconstruction Learning in Recurrent Network.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

A RPCL-CLP architecture for financial time series forecasting.
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

An Alternative Model for Mixtures of Experts.
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

Comparisons of Probabilistic and Non-probabilistic Hough Transforms.
Proceedings of the Computer Vision, 1994

1993
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection.
IEEE Trans. Neural Networks, 1993

Least mean square error reconstruction principle for self-organizing neural-nets.
Neural Networks, 1993

Bayesian Self-Organization.
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

Modified Hebbian learning for curve and surface fitting.
Neural Networks, 1992

Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning.
Int. J. Neural Syst., 1992

Self-Organizing Rules for Robust Principal Component Analysis.
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
Neural Nets for Dual Subspace Pattern Recognition Method.
Int. J. Neural Syst., 1991

1990
A new curve detection method: Randomized Hough transform (RHT).
Pattern Recognit. Lett., 1990

Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps.
Int. J. Neural Syst., 1990

Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System.
Proceedings of IAPR Workshop on Machine Vision Applications, 1990

Randomized Hough transform (RHT).
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching.
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
Structuring Causal Tree Models with Continuous Variables.
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


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