Yiu-Ming Cheung

Affiliations:
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong


According to our database1, Yiu-Ming Cheung authored at least 332 papers between 1995 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to cluster analysis and visual computing".

Timeline

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Bibliography

2024
Relation-Aggregated Cross-Graph Correlation Learning for Fine-Grained Image-Text Retrieval.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction.
IEEE Trans. Ind. Informatics, February, 2024

Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching.
IEEE Trans. Cybern., February, 2024

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., February, 2024

Server-Client Collaborative Distillation for Federated Reinforcement Learning.
ACM Trans. Knowl. Discov. Data, January, 2024

Compact Neural Network via Stacking Hybrid Units.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

DC-SHADE-IF: An infeasible-feasible regions constrained optimization approach with diversity controller.
Expert Syst. Appl., August, 2023

Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing.
IEEE Trans. Cybern., June, 2023

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., May, 2023

Identity-Preserved Complete Face Recovering Network for Partial Face Image.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A Highly Robust Reversible Watermarking Scheme Using Embedding Optimization and Rounded Error Compensation.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

Key Point Sensitive Loss for Long-Tailed Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A Branch Elimination-Based Efficient Algorithm for Large-Scale Multiple Longest Common Subsequence Problem.
IEEE Trans. Knowl. Data Eng., March, 2023

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Heuristic smoothing ant colony optimization with differential information for the traveling salesman problem.
Appl. Soft Comput., January, 2023

OMGH: Online Manifold-Guided Hashing for Flexible Cross-Modal Retrieval.
IEEE Trans. Multim., 2023

Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation.
IEEE Trans. Multim., 2023

SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification.
IEEE Trans. Image Process., 2023

Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification.
Pattern Recognit., 2023

A constrained multiobjective evolutionary algorithm based on adaptive constraint regulation.
Knowl. Based Syst., 2023

Federated Learning with Extremely Noisy Clients via Negative Distillation.
CoRR, 2023

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge.
CoRR, 2023

Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition.
CoRR, 2023

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition.
CoRR, 2023

Federated Semi-Supervised Learning with Annotation Heterogeneity.
CoRR, 2023

Uniform tensor clustering by jointly exploring sample affinities of various orders.
CoRR, 2023

Special issue on fuzzy systems for biomedical science in healthcare.
Appl. Soft Comput., 2023

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Taking a Part for the Whole: An Archetype-agnostic Framework for Voice-Face Association.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Label-Semantic-Enhanced Online Hashing for Efficient Cross-modal Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Few-Shot Lip-Password Based Speaker Verification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Label-Noise Learning with Intrinsically Long-Tailed Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Concept Drift-Tolerant Transfer Learning in Dynamic Environments.
IEEE Trans. Neural Networks Learn. Syst., 2022

FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains.
IEEE Trans. Inf. Forensics Secur., 2022

AR<sup>2</sup>Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Meta-Hashing for Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2022

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems.
IEEE Trans. Evol. Comput., 2022

A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering.
IEEE Trans. Cybern., 2022

Robust Tensor SVD and Recovery With Rank Estimation.
IEEE Trans. Cybern., 2022

A Rough-to-Fine Evolutionary Multiobjective Optimization Algorithm.
IEEE Trans. Cybern., 2022

Reversible Data Hiding With Brightness Preserving Contrast Enhancement by Two-Dimensional Histogram Modification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Equalization ensemble for large scale highly imbalanced data classification.
Knowl. Based Syst., 2022

A Cα-dominance-based solution estimation evolutionary algorithm for many-objective optimization.
Knowl. Based Syst., 2022

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection.
CoRR, 2022

Compact Neural Networks via Stacking Designed Basic Units.
CoRR, 2022

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data.
CoRR, 2022

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Feature-Balanced Loss for Long-Tailed Visual Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching.
Proceedings of the IEEE International Conference on Data Mining, 2022

A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.
IEEE Trans. Neural Networks Learn. Syst., 2021

An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy.
IEEE Trans. Neural Networks Learn. Syst., 2021

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person.
IEEE Trans. Inf. Forensics Secur., 2021

Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning.
IEEE Trans. Geosci. Remote. Sens., 2021

Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network.
IEEE Trans. Geosci. Remote. Sens., 2021

Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations.
IEEE Trans. Cybern., 2021

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering.
IEEE Trans. Cybern., 2021

A branch and bound irredundant graph algorithm for large-scale MLCS problems.
Pattern Recognit., 2021

Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

An Expensive Multi-Objective Optimization Algorithm Based on Decision Space Compression.
Int. J. Pattern Recognit. Artif. Intell., 2021

How to Make a Query in Image Retrieval with Partial Information Extracted from Multiple Image Samples?
Int. J. Pattern Recognit. Artif. Intell., 2021

Guest Editorial: Special issue on advanced methods in optimization and Machine learning for heterogeneous data analytics.
Neurocomputing, 2021

Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Efficient Online Label Consistent Hashing for Large-Scale Cross-Modal Retrieval.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Reversible Data Hiding in Jpeg Images for Privacy Protection.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Scoring Model Assisted by Frequency for Multi-Document Summarization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift.
IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm.
IEEE Trans. Image Process., 2020

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person.
IEEE Trans. Inf. Forensics Secur., 2020

Probabilistic Rank-One Discriminant Analysis via Collective and Individual Variation Modeling.
IEEE Trans. Cybern., 2020

Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions.
IEEE Trans. Cybern., 2020

Fast hypervolume approximation scheme based on a segmentation strategy.
Inf. Sci., 2020

Reversible contrast enhancement for medical images with background segmentation.
IET Image Process., 2020

Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Learning Discriminative Joint Embeddings for Efficient Face and Voice Association.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Hearing like Seeing: Improving Voice-Face Interactions and Associations via Adversarial Deep Semantic Matching Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Improved Spatio-Temporal Convolutional Neural Networks for Traffic Police Gestures Recognition.
Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Ordinal Data Clustering Algorithm with Automated Distance Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training.
IEEE Trans. Neural Networks Learn. Syst., 2019

Dual Pursuit for Subspace Learning.
IEEE Trans. Multim., 2019

Automatic Video Object Segmentation Based on Visual and Motion Saliency.
IEEE Trans. Multim., 2019

Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship.
IEEE Trans. Cybern., 2019

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., 2019

Robust heterogeneous discriminative analysis for face recognition with single sample per person.
Pattern Recognit., 2019

Attention guided deep audio-face fusion for efficient speaker naming.
Pattern Recognit., 2019

A high-capacity reversible data hiding method for homomorphic encrypted images.
J. Vis. Commun. Image Represent., 2019

Lossless Contrast Enhancement of Color Images with Reversible Data Hiding.
Entropy, 2019

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem.
CoRR, 2019

High-Capacity Reversible Data Hiding in Encrypted Images by Bit Plane Partition and MSB Prediction.
IEEE Access, 2019

Reversible Data Hiding With Image Contrast Enhancement Based on Two-Dimensional Histogram Modification.
IEEE Access, 2019

Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing.
Proceedings of the Information Security Applications - 20th International Conference, 2019

Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Dimensionality Reduction in Multiple Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2018

Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters.
IEEE Trans. Neural Networks Learn. Syst., 2018

Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2018

Unified Sparse Subspace Learning via Self-Contained Regression.
IEEE Trans. Circuits Syst. Video Technol., 2018

Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Computational Intelligence in Astronomy: Preface.
Int. J. Comput. Intell. Syst., 2018

On incremental collaborative appearance model and regional particle filtering for lip region tracking.
Integr. Comput. Aided Eng., 2018

Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

A fast hierarchical clustering approach based on partition and merging scheme.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

A parameterless decomposition-based evolutionary multi-objective algorithm.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Joint Collaborative Representation and Discriminative Projection for Pattern Classification.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance.
IEEE Trans. Syst. Man Cybern. Syst., 2017

A Cooperative Learning-Based Clustering Approach to Lip Segmentation Without Knowing Segment Number.
IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning.
IEEE Trans. Hum. Mach. Syst., 2017

Robust Object Tracking via Key Patch Sparse Representation.
IEEE Trans. Cybern., 2017

Detection Copy Number Variants from NGS with Sparse and Smooth Constraints.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Joint sparse principal component analysis.
Pattern Recognit., 2017

Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization.
Mach. Learn., 2017

Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach.
Comput. Vis. Image Underst., 2017

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction.
IEEE Access, 2017

Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Fast Objective Reduction Algorithm Based on Dominance Structure for Many Objective Optimization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multi-view Manifold Learning for Media Interestingness Prediction.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Lip Password-Based Speaker Verification Without a Priori Knowledge of Speech Language.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A new grouping strategy-based hybrid algorithm for large scale global optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Tensor Rank Estimation and Completion via CP-based Nuclear Norm.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A New Distance Metric for Unsupervised Learning of Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2016

Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems.
IEEE Trans. Evol. Comput., 2016

Corrupted and occluded face recognition via cooperative sparse representation.
Pattern Recognit., 2016

Sparse discriminative multi-manifold embedding for one-sample face identification.
Pattern Recognit., 2016

Reversible data hiding in Paillier cryptosystem.
J. Vis. Commun. Image Represent., 2016

Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit.
Comput. Vis. Image Underst., 2016

Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments.
Comput. Vis. Image Underst., 2016

Audio-Visual Speaker Recognition via Multi-modal Correlated Neural Networks.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Hybrid Sampling with Bagging for Class Imbalance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Supervised Manifold Learning for Media Interestingness Prediction.
Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Quality preserved data summarization for fast hierarchical clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Single image super-resolution with non-local balanced low-rank matrix restoration.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Simultaneous Dual-Views Reconstruction with Adaptive Dictionary and Low-Rank Representation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

The common self-polar triangle of separate circles: Properties and applications to camera calibration.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Renewable Energy Cooperation Scheme for OFDM Systems Using Evolutionary Many-Objective Optimization Algorithm.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Anonymized Distance Filter in Hamming Space.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Multi-view Latent Space Learning Based on Local Discriminant Embedding.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

2015
Learning Compact Binary Codes for Hash-Based Fingerprint Indexing.
IEEE Trans. Inf. Forensics Secur., 2015

Eye Gaze Tracking With a Web Camera in a Desktop Environment.
IEEE Trans. Hum. Mach. Syst., 2015

Single object tracking via robust combination of particle filter and sparse representation.
Signal Process., 2015

Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation.
Knowl. Inf. Syst., 2015

ApLeaf: An efficient android-based plant leaf identification system.
Neurocomputing, 2015

Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is.
IET Comput. Vis., 2015

Modeling spatial relations of human body parts for indexing and retrieving close character interactions.
Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, 2015

Unsupervised Facial Pose Grouping via Garbor Subspace Affinity and Self-Tuning Spectral Clustering.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Texture Image Segmentation Using Spectral Clustering.
Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015

The common self-polar triangle of concentric circles and its application to camera calibration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

An evolutionary algorithm based on decomposition for multimodal optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014
Lip Segmentation under MAP-MRF Framework with Automatic Selection of Local Observation Scale and Number of Segments.
IEEE Trans. Image Process., 2014

Learning Multi-Boosted HMMs for Lip-Password Based Speaker Verification.
IEEE Trans. Inf. Forensics Secur., 2014

Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation.
Signal Process., 2014

Learning a mixture model for clustering with the completed likelihood minimum message length criterion.
Pattern Recognit., 2014

Arabic font recognition based on diacritics features.
Pattern Recognit., 2014

Cooperative and penalized competitive learning with application to kernel-based clustering.
Pattern Recognit., 2014

Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours.
Neurocomputing, 2014

Outlier Detection Based on Local Kernel Regression for Instance Selection.
Int. J. Comput. Intell. Syst., 2014

Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation.
IET Image Process., 2014

On Solving WCDMA Network Planning Using Iterative Power Control Scheme and Evolutionary Multiobjective Algorithm [Application Notes].
IEEE Comput. Intell. Mag., 2014

Video color conceptualization using optimization.
Sci. China Inf. Sci., 2014

Ultra local binary pattern for image texture analysis.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

A supervised correlation analysis for score-level calibration of cross-device fingerprint recognition.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A new distance metric for unsupervised learning of categorical data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fingerprint Geometric Hashing Based on Binary Minutiae Cylinder Codes.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A direct search algorithm based on kernel density estimator for nonlinear optimization.
Proceedings of the 10th International Conference on Natural Computation, 2014

Discretizing Numerical Attributes in Decision Tree for Big Data Analysis.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

An Exemplar-Based Hidden Markov Model with Discriminative Visual Features for Lipreading.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Online objective reduction for many-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning.
Proceedings of the Computer Vision - ACCV 2014, 2014

Camera Calibration Based on the Common Self-polar Triangle of Sphere Images.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number.
Pattern Recognit., 2013

Improving clustering with pairwise constraints: a discriminative approach.
Knowl. Inf. Syst., 2013

Guest Editorial.
J. Comput., 2013

Lip segmentation and tracking under MAP-MRF framework with unknown segment number.
Neurocomputing, 2013

Topology Aware Data-Driven Inverse Kinematics.
Comput. Graph. Forum, 2013

Hashing fingerprints for identity de-duplication.
Proceedings of the 2013 IEEE International Workshop on Information Forensics and Security, 2013

On Solving Complex Optimization Problems with Objective Decomposition.
Proceedings of the IEEE International Conference on Systems, 2013

A Unified Metric for Categorical and Numerical Attributes in Data Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Online Group Feature Selection.
Proceedings of the IJCAI 2013, 2013

Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation.
Proceedings of the Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 2013

Reversible Image Watermarking Using a Diagonal Structure for Prediction.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

Online Learning towards Big Data Analysis in Health Informatics.
Proceedings of the Brain and Health Informatics - International Conference, 2013

Feature Weighted Kernel Clustering with Application to Medical Data Analysis.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2012
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints.
IEEE Trans. Knowl. Data Eng., 2012

Secure Watermarking on 3D Geometry via ICA and Orthogonal Transformation.
Trans. Data Hiding Multim. Secur., 2012

A local region based approach to lip tracking.
Pattern Recognit., 2012

A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection.
Comput. Math. Methods Medicine, 2012

Sample Outlier Detection Based on Local Kernel Regression.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Unsupervised Feature Selection with Feature Clustering.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Structured sparse coding for image representation based on L1-graph.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Salient region detection using local and global saliency.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Subspace based active contours with a joint distribution metric for semi-supervised natural image segmentation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A multi-boosted HMM approach to lip password based speaker verification.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Segmentation of retinal blood vessels using the radial projection and semi-supervised approach.
Pattern Recognit., 2011

Feature Selection and Kernel Learning for Local Learning-Based Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Active contours with a novel distribution metric for complex object segmentation.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Map-MRF based LIP segmentation without true segment number.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A robust lip tracking algorithm using localized color active contours and deformable models.
Proceedings of the IEEE International Conference on Acoustics, 2011

Off-line Text-independent Writer Identification Using a Mixture of Global and Local Features.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks.
IEEE Trans. Image Process., 2010

Reversible Watermarking by Modulation and Security Enhancement.
IEEE Trans. Instrum. Meas., 2010

SKM-SNP: SNP markers detection method.
J. Biomed. Informatics, 2010

Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate.
Int. J. Pattern Recognit. Artif. Intell., 2010

Writer identification using fractal dimension of wavelet subbands in gabor domain.
Integr. Comput. Aided Eng., 2010

Retinal Blood Vessels Segmentation Using the Radial Projection and Supervised Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Lip Contour Extraction Method Using Localized Active Contour Model with Automatic Parameter Selection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Automatic Segmentation of Color Lip Images Based on Morphological Filter.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

A Novel Automatic Lip Reading Method Based on Polynomial Fitting.
Proceedings of the Active Media Technology, 6th International Conference, 2010

2009
Local Kernel Regression Score for Selecting Features of High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2009

Automatic lip localization under face illumination with shadow consideration.
Signal Process., 2009

A new feature selection method for Gaussian mixture clustering.
Pattern Recognit., 2009

Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2009

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters.
Int. J. Data Min. Model. Manag., 2009

A Theoretical Analysis of Multiscale Entropy under the Inverse Gaussian Distribution.
Int. J. Bifurc. Chaos, 2009

A New Quantifying Crossover With Ternary Representation.
Intell. Autom. Soft Comput., 2009

A Multi-Objective Evolutionary Algorithm Using Min-Max Strategy And Sphere Coordinate Transformation.
Intell. Autom. Soft Comput., 2009

Feature Selection for Local Learning Based Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Writer Identification Using a Hybrid Method Combining Gabor Wavelet and Mesh Fractal Dimension.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Kernel Learning for Local Learning Based Clustering.
Proceedings of the Artificial Neural Networks, 2009

A Locally Gaussian Mixture Based RBF Network for Classification of Chinese Herbal Infrared Spectrum Fingerprint.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

Texture Image Retrieval Using Non-separable Wavelets and Local Binary Patterns.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters.
IEEE Trans. Knowl. Data Eng., 2008

Symbolic Vector Dynamics Approach to Initial Condition and Control Parameters Estimation of Coupled Map Lattices.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

On blind source separation using generalized eigenvalues with a new metric.
Neurocomputing, 2008

Hong Kong Chapter Report [Family Corner].
IEEE Comput. Intell. Mag., 2008

Feature Selection for Clustering on High Dimensional Data.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

A Data Mapping Method for Steganography and Its Application to Images.
Proceedings of the Information Hiding, 10th International Workshop, 2008

An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Palmprint identification based on non-separable wavelet filter banks.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Cooperation Controlled Competitive Learning Approach for Data Clustering.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

A Novel Motion Based Lip Feature Extraction for Lip-Reading.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

2007
Rival-Model Penalized Self-Organizing Map.
IEEE Trans. Neural Networks, 2007

A Sequential Quantization Strategy for Data Embedding and Integrity Verification.
IEEE Trans. Circuits Syst. Video Technol., 2007

A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Bi-Objective Model for Shelf Space Allocation Using a Hybrid Genetic Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Ranking-Based Evolutionary Algorithm for Constrained Optimization Problems.
Proceedings of the Third International Conference on Natural Computation, 2007

Mechanism Design for Clustering Aggregation by Selfish Systems.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture.
Proceedings of the Artificial Neural Networks, 2007

An Improved Competitive and Cooperative Learning Approach for Data Clustering.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm.
IEEE Trans. Knowl. Data Eng., 2006

A maximum likelihood approach to temporal factor analysis in state-space model.
Signal Process., 2006

Classifying protein sequences using hydropathy blocks.
Pattern Recognit., 2006

Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346].
Digit. Signal Process., 2006

Public Authentication of 3D Mesh Models.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

A Novel Asymptotic Deterministic Randomness Based Watermarking Scheme.
Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

A High-Capacity Data Hiding Method for Polygonal Meshes.
Proceedings of the Information Hiding, 8th International Workshop, 2006

Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

Clustering of SNP Data with Application to Genomics.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Feature Weighted Rival Penalized EM for Gaussian Mixture Clustering: Automatic Feature and Model Selections in a Single Paradigm.
Proceedings of the Computational Intelligence and Security, International Conference, 2006

2005
On Rival Penalization Controlled Competitive Learning for Clustering with Automatic Cluster Number Selection.
IEEE Trans. Knowl. Data Eng., 2005

Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection.
IEEE Trans. Knowl. Data Eng., 2005

A Divide-and-Conquer Learning Approach to Radial Basis Function Networks.
Neural Process. Lett., 2005

A novel approach to extracting features from motif content and protein composition for protein sequence classification.
Neural Networks, 2005

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images.
IEEE Geosci. Remote. Sens. Lett., 2005

Extracting nonlinear features for multispectral images by FCMC and KPCA.
Digit. Signal Process., 2005

A Reversible Data Hiding Approach to Mesh Authentication.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

A New Fragile Mesh Watermarking Algorithm for Authentication.
Proceedings of the Security and Privacy in the Age of Ubiquitous Computing, IFIP TC11 20th International Conference on Information Security (SEC 2005), May 30, 2005

A fragile watermarking scheme for 3D meshes.
Proceedings of the 7th workshop on Multimedia & Security, 2005

A Learning Framework for Blind Source Separation Using Generalized Eigenvalues.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Discrimination of Patchoulis of Different Geographical Origins with Two-Dimensional IR Correlation Spectroscopy and Wavelet Transform.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

Preference Bi-objective Evolutionary Algorithm for Constrained Optimization.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Rival penalized self-organizing map.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

A new approach to blind source separation with global optimal property.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

A competitive and cooperative learning approach to robust data clustering.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

A Novel Hybrid GA/SVM System for Protein Sequences Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection.
Proceedings of the 17th International Conference on Pattern Recognition, 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

k*-Means: A new generalized k-means clustering algorithm.
Pattern Recognit. Lett., 2003

Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm.
Neurocomputing, 2003

A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Expectation-MiniMax Approach to Clustering Analysis.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
k-Means - A Generalized k-Means Clustering Algorithm with Unknown Cluster Number.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001
Independent component ordering in ICA time series analysis.
Neurocomputing, 2001

Dual Auto-Regressive Modelling Approach To Gaussian Process Identification.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

2000
An RPCL-based approach for Markov model identification with unknown state number.
IEEE Signal Process. Lett., 2000

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

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

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

1998
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment.
Int. J. Neural Syst., 1997

Some further studies on detection the number of clusters.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

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

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
A RPCL-CLP architecture for financial time series forecasting.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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