Jinwen Ma

Orcid: 0000-0002-7388-4295

Affiliations:
  • Peking University,Department of Information Science, China


According to our database1, Jinwen Ma authored at least 218 papers between 1997 and 2025.

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Bibliography

2025
Split-and-merge model selection of mixtures of Gaussian processes with RJMCMC.
Pattern Recognit., 2025

2024
Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion.
Remote. Sens., March, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2024

Diagram Formalization Enhanced Multi-Modal Geometry Problem Solver.
CoRR, 2024

Seismic Fault SAM: Adapting SAM with Lightweight Modules and 2.5D Strategy for Fault Detection.
CoRR, 2024

SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space.
CoRR, 2024

Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DefenseVGAE: Defending Against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

A Fusion Framework of Whitespace Smear Cutting and Swin Transformer for Document Layout Analysis.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Self-Attention-Based Deep Convolution LSTM Framework for Sensor-Based Badminton Activity Recognition.
Sensors, October, 2023

A variational hardcut EM algorithm for the mixtures of Gaussian processes.
Sci. China Inf. Sci., March, 2023

Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm.
Pattern Recognit., 2023

Fine-grained image retrieval by combining attention mechanism and context information.
Neural Comput. Appl., 2023

Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-Dimensional Feature Supervision Network for Object Detection.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

UCLD-Net: Decoupling Network via Unsupervised Contrastive Learning for Image Dehazing.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Automatic Text Extractive Summarization Based on Text Graph Representation and Attention Matrix.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Automatic Model Selection Algorithm Based on BYY Harmony Learning for Mixture of Gaussian Process Functional Regressions Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

PCSalmix: Gradient Saliency-Based Mix Augmentation for Point Cloud Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Attention Mechanism Based Mixture of Gaussian Processes.
Pattern Recognit. Lett., 2022

Distributed search and fusion for wine label image retrieval.
PeerJ Comput. Sci., 2022

Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images.
Intell. Syst. Appl., 2022

On theoretical justification of the forward-backward algorithm for the variational learning of Bayesian hidden Markov models.
IET Signal Process., 2022

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs.
Proceedings of the International Conference on Machine Learning, 2022

Federated Sparse Gaussian Processes.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

SG-Net: Semantic Guided Network for Image Dehazing.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Compact Interchannel Sampling Difference Descriptor for Color Texture Classification.
IEEE Trans. Circuits Syst. Video Technol., 2021

Recent developments of content-based image retrieval (CBIR).
Neurocomputing, 2021

Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation.
Neurocomputing, 2021

On Automatic Text Extractive Summarization Based on Graph and pre-trained Language Model Attention.
CoRR, 2021

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
CoRR, 2021

PDO-eS<sup>2</sup>CNNs: Partial Differential Operator Based Equivariant Spherical CNNs.
CoRR, 2021

Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images.
Comput. Medical Imaging Graph., 2021

ARGO: Modeling Heterogeneity in E-commerce Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

CIMON: Towards High-quality Hash Codes.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

NSF-Based Mixture of Gaussian Processes and Its Variational EM Algorithm.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Unsupervised Hashing by Global and Local Consistency.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Unsupervised Hashing by Distilled Smooth Guidance.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Learning Based Semantic Page Segmentation of Document Images in Chinese and English.
Proceedings of the Intelligent Computing Theories and Application, 2021

Label Similarity Based Graph Network for Badminton Activity Recognition.
Proceedings of the Intelligent Computing Theories and Application, 2021

Non-central Student-t Mixture of Student-t Processes for Robust Regression and Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2021

STDA-inf: Style Transfer for Data Augmentation Through In-data Training and Fusion Inference.
Proceedings of the Intelligent Computing Theories and Application, 2021

Variational EM Algorithm for Student-${\varvec{t}} $ Mixtures of Gaussian Processes.
Proceedings of the Intelligent Computing Theories and Application, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Continual Learning by Using Information of Each Class Holistically.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Predictive Adversarial Learning from Positive and Unlabeled Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep learning-based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning.
IET Image Process., 2020

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning.
CoRR, 2020

Large Scale Category-Structured Image Retrieval for Object Identification Through Supervised Learning of CNN and SURF-Based Matching.
IEEE Access, 2020

HRN: A Holistic Approach to One Class Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Functional Data Clustering Analysis via the Learning of Gaussian Processes with Wasserstein Distance.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Simultaneous Inpainting and Colorization via Tensor Completion.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Transformation of Dense and Sparse Text Representations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Multi-Label Classification with Label Graph Superimposing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation.
Neurocomputing, 2019

Transformation of Dense and Sparse Text Representations.
CoRR, 2019

Fast Universal Style Transfer for Artistic and Photorealistic Rendering.
CoRR, 2019

StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.
CoRR, 2019

Non-convex Penalty for Tensor Completion and Robust PCA.
CoRR, 2019

Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification.
Proceedings of the International Joint Conference on Neural Networks, 2019

GSN: A Graph-Structured Network for Multi-Party Dialogues.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Swarm Intelligence Based Ensemble Learning of Deep Neural Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Exploiting Cluster Structure in Probabilistic Matrix Factorization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects.
Proceedings of the 36th International Conference on Machine Learning, 2019

Spatial-Aware Non-Local Attention for Fashion Landmark Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data.
Proceedings of the Intelligent Computing Theories and Application, 2019

Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine with Local Search.
Proceedings of the Intelligent Computing Theories and Application, 2019

CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval.
Proceedings of the Intelligent Computing Theories and Application, 2019

Automatic Cloud Segmentation Based on Fused Fully Convolutional Networks.
Proceedings of the Intelligent Computing Theories and Application, 2019

Tangent-Normal Adversarial Regularization for Semi-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Two-Layer Mixture Model of Gaussian Process Functional Regressions and Its MCMC EM Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2018

The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent.
CoRR, 2018

Automatic Fault Detection for 2D Seismic Data Based on the Seismic Coherence of Mutative Scale Analysis Window.
Proceedings of the Intelligence Science II, 2018

A Specialized Probability Density Function for the Input of Mixture of Gaussian Processes.
Proceedings of the Intelligence Science II, 2018

Related Text Discovery Through Consecutive Filtering and Supervised Learning.
Proceedings of the Intelligence Science II, 2018

Probe Machine Based Consecutive Route Filtering Approach to Symmetric Travelling Salesman Problem.
Proceedings of the Intelligence Science II, 2018

Model Selection Prediction for the Mixture of Gaussian Processes with RJMCMC.
Proceedings of the Intelligence Science II, 2018

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images.
Proceedings of the 6th International Conference on Learning Representations, 2018

Aspect-based Question Generation.
Proceedings of the 6th International Conference on Learning Representations, 2018

DeepLayout: A Semantic Segmentation Approach to Page Layout Analysis.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Bayesian Probit Model with L<sup>α</sup> and Elastic Net Regularization.
Proceedings of the Intelligent Computing Theories and Application, 2018

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
A Multi-objective Evolutionary Algorithm for Color Image Segmentation.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017

End-to-End Scene Text Recognition with Character Centroid Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Integrated Learning Framework for Pedestrian Tracking.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

Quantile Kurtosis in ICA and Integrated Feature Extraction for Classification.
Proceedings of the Intelligent Computing Theories and Application, 2017

A Unified Deep Neural Network for Scene Text Detection.
Proceedings of the Intelligent Computing Theories and Application, 2017

Effective Iris Recognition for Distant Images Using Log-Gabor Wavelet Based Contourlet Transform Features.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
BYY harmony learning of t-mixtures with the application to image segmentation based on contourlet texture features.
Neurocomputing, 2016

A DAEM Algorithm for Mixtures of Gaussian Process Functional Regressions.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Stock Price Prediction Through the Mixture of Gaussian Processes via the Precise Hard-cut EM Algorithm.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Stacked Auto-Encoders for Feature Extraction with Neural Networks.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
Texture Classification and Retrieval Using Shearlets and Linear Regression.
IEEE Trans. Cybern., 2015

BYY harmony learning of log-normal mixtures with automated model selection.
Neurocomputing, 2015

Accurate segmentation of touching cells in multi-channel microscopy images with geodesic distance based clustering.
Neurocomputing, 2015

DMMs-Based Multiple Features Fusion for Human Action Recognition.
Int. J. Multim. Data Eng. Manag., 2015

Modularity Dominated Density Based Merging Search for Community Discovery.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

An Effective Model Selection Criterion for Mixtures of Gaussian Processes.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

An MCMC Based EM Algorithm for Mixtures of Gaussian Processes.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Automatic Model Selection of the Mixtures of Gaussian Processes for Regression.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Image segmentation with the competitive learning based MS model.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

The Hard-Cut EM Algorithm for Mixture of Sparse Gaussian Processes.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Real-Time Human Action Recognition Using DMMs-Based LBP and EOH Features.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Combination features and models for human detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Human Action Recognition Based on DMMs, HOGs and Contourlet Transform.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014
DrugComboRanker: drug combination discovery based on target network analysis.
Bioinform., 2014

Dynamically regularized harmony learning of Gaussian mixtures.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Diagonal Log-Normal Generalized RBF Neural Network for Stock Price Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Kernel Parameter Optimization for KFDA Based on the Maximum Margin Criterion.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Automatic Non-negative Matrix Factorization Clustering with Competitive Sparseness Constraints.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

Unsupervised Image Segmentation Based on Contourlet Texture Features and BYY Harmony Learning of t-Mixtures.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

2013
<i>k</i><sup>′</sup>-Means algorithms for clustering analysis with frequency sensitive discrepancy metrics.
Pattern Recognit. Lett., 2013

Feature extraction through contourlet subband clustering for texture classification.
Neurocomputing, 2013

A 3D multiscale model of cancer stem cell in tumor development.
BMC Syst. Biol., 2013

FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq.
BMC Bioinform., 2013

Local Fisher Discriminant Analysis with Locally Linear Embedding Affinity Matrix.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Novel training and comparison method for blood detection in wireless capsule endoscopy images.
Proceedings of the 7th International Symposium on Medical Information and Communication Technology, 2013

Two-Phase Image Segmentation with the Competitive Learning Based Chan-Vese (CLCV) Model.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

Automated Model Selection and Parameter Estimation of Log-Normal Mixtures via BYY Harmony Learning.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Kernel k'-means Algorithm for Clustering Analysis.
Proceedings of the Intelligent Computing Theories and Technology, 2013

2012
Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures.
IEEE Trans. Image Process., 2012

An Efficient Histogram-Based Texture Classification Method with Weighted Symmetrized Kullback-Leibler Divergence.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

Statistical Contourlet Subband Characterization for Texture Image Retrieval.
Proceedings of the Intelligent Computing Theories and Applications, 2012

2011
Wavelet-Based Image Texture Classification Using Local Energy Histograms.
IEEE Signal Process. Lett., 2011

Asymptotic Convergence Properties of the EM Algorithm for Mixture of Experts.
Neural Comput., 2011

Fifth-order iterative method for finding multiple roots of nonlinear equations.
Numer. Algorithms, 2011

An Efficient EM Approach to Parameter Learning of the Mixture of Gaussian Processes.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Simultaneous Model Selection and Feature Selection via BYY Harmony Learning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A Fixed-Point EM Algorithm for Straight Line Detection.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Contourlet-Based Texture Classification with Product Bernoulli Distributions.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Texture Classification Based on Contourlet Subband Clustering.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Coupling Oriented Hidden Markov Random Field Model with Local Clustering for Segmenting Blood Vessels and Measuring Spatial Structures in Images of Tumor Microenvironment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis.
IEEE Trans. Medical Imaging, 2010

Spurious Solution of the Maximum Likelihood Approach to ICA.
IEEE Signal Process. Lett., 2010

Sixteenth-order method for nonlinear equations.
Appl. Math. Comput., 2010

A Stage by Stage Pruning Algorithm for Detecting the Number of Clusters in a Dataset.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Density Based Merging Search of Functional Modules in Protein-Protein Interaction (PPI) Networks.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

An Efficient Pairwise Kurtosis Optimization Algorithm for Independent Component Analysis.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009
Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning.
Pattern Recognit., 2009

A Single Loop EM Algorithm for the Mixture of Experts Architecture.
Proceedings of the Advances in Neural Networks, 2009

A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

A Novel k'-Means Algorithm for Clustering Analysis.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
A fast fixed-point BYY harmony learning algorithm on Gaussian mixture with automated model selection.
Pattern Recognit. Lett., 2008

Workflow and Methods of High-Content Time-Lapse Analysis for Quantifying Intracellular Calcium Signals.
Neuroinformatics, 2008

ADSRPCL-SVM Approach to Informative Gene Analysis.
Genom. Proteom. Bioinform., 2008

A BYY scale-incremental EM algorithm for Gaussian mixture learning.
Appl. Math. Comput., 2008

BYY Harmony Learning on Weibull Mixture with Automated Model Selection.
Proceedings of the Advances in Neural Networks, 2008

A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.
Proceedings of the Advances in Neural Networks, 2008

Analysis of the Kurtosis-Sum Objective Function for ICA.
Proceedings of the Advances in Neural Networks, 2008

A Gradient BYY Harmony Learning Algorithm for Straight Line Detection.
Proceedings of the Advances in Neural Networks, 2008

The Competitive EM Algorithm for Gaussian Mixtures with BYY Harmony Criterion.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Automatic Straight Line Detection through Fixed-Point BYY Harmony Learning.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
The BYY annealing learning algorithm for Gaussian mixture with automated model selection.
Pattern Recognit., 2007

Query topic detection for reformulation.
Proceedings of the 16th International Conference on World Wide Web, 2007

Informative Gene Set Selection Via Distance Sensitive Rival Penalized Competitive Learning and Redundancy Analysis.
Proceedings of the Advances in Neural Networks, 2007

Efficient Training of RBF Networks Via the BYY Automated Model Selection Learning Algorithms.
Proceedings of the Advances in Neural Networks, 2007

An Adaptive Gradient BYY Learning Rule for Poisson Mixture with Automated Model Selection.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007

2006
A cost-function approach to rival penalized competitive learning (RPCL).
IEEE Trans. Syst. Man Cybern. Part B, 2006

BYY Harmony Learning on Finite Mixture: Adaptive Gradient Implementation and A Floating RPCL Mechanism.
Neural Process. Lett., 2006

The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2006

Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA.
Proceedings of the International Joint Conference on Neural Networks, 2006

A One-Bit-Matching Learning Algorithm for Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
On the correct convergence of the EM algorithm for Gaussian mixtures.
Pattern Recognit., 2005

A Further Result on the ICA One-Bit-Matching Conjecture.
Neural Comput., 2005

Conjugate and natural gradient rules for BYY harmony learning on Gaussian mixture with automated model selection.
Int. J. Pattern Recognit. Artif. Intell., 2005

Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture.
Neurocomputing, 2005

An alternative switching criterion for independent component analysis (ICA).
Neurocomputing, 2005

Non-parametric Statistical Tests for Informative Gene Selection.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

An Information Criterion for Informative Gene Selection.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Step by Step Optimization Approach to Independent Component Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

A Multi-population chi<sup>2</sup> Test Approach to Informative Gene Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Two Adaptive Matching Learning Algorithms for Independent Component Analysis.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

MFCC and SVM Based Recognition of Chinese Vowels.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Further Results on the Asymptotic Memory Capacity of the Generalized Hopfield Network.
Neural Process. Lett., 2004

Entropy Penalized Automated Model Selection On Gaussian Mixture.
Int. J. Pattern Recognit. Artif. Intell., 2004

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

The capacity of time-delay recurrent neural network for storing spatio-temporal sequences.
Neurocomputing, 2004

Learning to cluster web search results.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

A rank sum test method for informative gene discovery.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Space-Time Receiver for Multi-Rate CDMA Systems: Multi-Code and Variable Spreading Length Access Methods Comparison.
Wirel. Pers. Commun., 2003

MMSE-based groupwise successive interference cancellation scheme for multirate CDMA systems.
Int. J. Satell. Commun. Netw., 2003

A Hybrid Neural Network of Addressable and Content-Addressable Memory.
Int. J. Neural Syst., 2003

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

A Neural Network Approach to Real-Time Pattern Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2001

2000
Groupwise Successive Interference Cancellation for Multirate CDMA Based on MMSE Criterion.
Proceedings of the 2000 IEEE International Conference on Communications: Global Convergence Through Communications, 2000

1999
The asymptotic memory capacity of the generalized Hopfield network.
Neural Networks, 1999

The Object Perceptron Learning Algorithm on Generalised Hopfield Networks for Associative Memory.
Neural Comput. Appl., 1999

1998
Modified multi-rate detection for frequency selective Rayleigh fading CDMA channels.
Proceedings of the 9th IEEE International Symposium on Personal, 1998

The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

The Memory Capacity of Recurrent Neural Networks for Storing Spatio-Temporal Sequences.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Multi-rate LMMSE detectors for asynchronous multi-rate CDMA systems.
Proceedings of the 1998 IEEE International Conference on Communications, 1998

1997
The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode.
Neural Networks, 1997

Simplex Memory Neural Networks.
Neural Networks, 1997


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