Hau-San Wong

发表

Adaptive regularization in image restoration using a model-based neural network

Ling Guan, Hau-San Wong, 1997 .

An efficient local clustering approach for simplification of 3D point-based computer graphics models

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Partial closure-based constrained clustering with order ranking

Hau-San Wong, Shaohong Zhang, 2008, 2008 19th International Conference on Pattern Recognition.

Adaptive Regularization Using Evolutionary Computation

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2009 .

Semisupervised Classification With Novel Graph Construction for High-Dimensional Data

Jane You, Zhiwen Yu, Hau-San Wong, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification

Zhiwen Yu, Hau-San Wong, Si Wu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Indexing and retrieval of 3D models by unsupervised clustering with hierarchical SOM

Hau-San Wong, Yang Sha, Horace Ho-Shing Ip, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

3D Head Model Classifcation based on Cluster Ensemble

Zhiwen Yu, Hau-San Wong, Shaohong Zhang, 2007, MLDM Posters.

Knowledge learning based evolutionary algorithm for unconstrained optimization problem

Zhiwen Yu, Hau-San Wong, Dingwen Wang, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations

Hau-San Wong, Si Wu, Sheng Qian, 2019, IJCAI.

Searching of motion database based on hierarchical SOM

Zhiwen Yu, Hau-San Wong, Xing Wang, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Logic optimality for multi-objective optimization

Xiang Li, Hau-San Wong, H. Wong, 2009, Appl. Math. Comput..

Graph-based consensus clustering for class discovery from gene expression data

Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang, 2007, Bioinform..

Biometrics recognition based on fused Gaborface and Gaborpalm with DCV-RBF feature classification

Hau-San Wong, X.-Y. Jing, H. Wong, 2006 .

GAN-Based Enhanced Deep Subspace Clustering Networks

Zhiwen Yu, Hau-San Wong, Wenming Cao, 2020, IEEE Transactions on Knowledge and Data Engineering.

Genetic Optimization of Feature Representation for Compressed-Domain Image Categorization

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2018 .

Dynamic resource allocation via video content and short-term traffic statistics

Min Wu, Sun-Yuan Kung, Ling Guan, 2001, IEEE Trans. Multim..

SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles

Jane You, Zhiwen Yu, Guoqiang Han, 2012, TCBB.

Learning Graphical Model for Human Motion Characterization Using Genetic Optimization

Hau-San Wong, Bo Ma, Hui-yang Qu, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

Joint subspace and discriminative learning for self-paced domain adaptation

Zhiwen Yu, Hau-San Wong, Dazhi Jiang, 2020, Knowl. Based Syst..

Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration

Zhiwen Yu, Hau-San Wong, Cheng Liu, 2020, IEEE Transactions on Image Processing.

Hybrid Classifier Ensemble for Imbalanced Data

Jane You, Zhiwen Yu, Xin Wen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Feature transformation in compressed domain for content-based image retrieval

Hau-San Wong, Horace H. S. Ip, Chun-Ip Chiu, 2003, IS&T/SPIE Electronic Imaging.

Image Segmentation Based on Cluster Ensemble

Zhiwen Yu, Hau-San Wong, Shaohong Zhang, 2007, ISNN.

Probabilistic cluster structure ensemble

Yunjun Gao, Jane You, Zhiwen Yu, 2014, Inf. Sci..

Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning

Zhiwen Yu, Hau-San Wong, Xiangping Zeng, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fast and Effective Active Clustering Ensemble Based on Density Peak

Zhiwen Yu, Hau-San Wong, Wenming Cao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data

Jane You, Zhiwen Yu, Guoqiang Han, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Perceptually Motivated Image Restoration

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2009 .

Transformation of Compressed Domain Features for Content-Based Image Indexing and Retrieval

Ling Guan, Hau-San Wong, Horace Ho-Shing Ip, 2005, Multimedia Tools and Applications.

AORS: Affinity-based outlier ranking score

Dongqing Xie, Hau-San Wong, Shaohong Zhang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Encoding sparse and competitive structures among tasks in multi-task learning

Hau-San Wong, Si Wu, Sheng Qian, 2019, Pattern Recognit..

ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles

Hau-San Wong, Shaohong Zhang, 2010, 2010 20th International Conference on Pattern Recognition.

Image classification based on the bagging-adaboost ensemble

Zhiwen Yu, Hau-San Wong, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Multitask Feature Selection by Graph-Clustered Feature Sharing

Zhiwen Yu, Hau-San Wong, Si Wu, 2020, IEEE Transactions on Cybernetics.

Active constrained clustering with multiple cluster representatives

Hau-San Wong, Shaohong Zhang, Shaohong Zhang, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Evolutionary Optimization of Feature Representation for 3D Point-based Model Classification

Hau-San Wong, Bo Ma, Xin Tong, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images

Hau-San Wong, Hailong Zhu, Hong-Qiang Wang, 2008, ICMB.

Pattern mining based on local distribution

Zhiwen Yu, Hau-San Wong, Xing Wang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment

Hau-San Wong, Apple W. P. Fok, Y. S. Chen, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Hierarchical indexing for 3D head model retrieval based on kernel PCA

Hau-San Wong, Bo Ma, Yang Sha, 2005, Ninth International Conference on Information Visualisation (IV'05).

A modified support vector machine and its application to image segmentation

Zhiwen Yu, Hau-San Wong, Guihua Wen, 2011, Image Vis. Comput..

A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets

Jane You, Zhiwen Yu, Guoqiang Han, 2017, IEEE Transactions on Cybernetics.

Prediction of protein B-factors using multi-class bounded SVM.

Hau-San Wong, De-Shuang Huang, Bing Wang, 2007, Protein and peptide letters.

Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm

Hau-San Wong, Bo Yang, Shantian Yang, 2019, Knowl. Based Syst..

Adaptive Image Processing: A Computational Intelligence Perspective

Ling Guan, Hau-San Wong, Stuart Perry, 2001 .

Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection

Hau-San Wong, Si Wu, Robert Laganière, 2018, IEEE Transactions on Image Processing.

Prediction of Long-range Contacts from Sequence Profile

Hau-San Wong, De-Shuang Huang, Bing Wang, 2007, 2007 International Joint Conference on Neural Networks.

Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement

Hau-San Wong, Si Wu, Wenhao Wu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Iterative Term Weighting for Short Text Data

Hau-San Wong, Cheng Liu, Chutao Zheng, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification

Jun Zhang, Jane You, Zhiwen Yu, 2019, IEEE Transactions on Cybernetics.

Mining Uncertain Data in Low-dimensional Subspace

Zhiwen Yu, Hau-San Wong, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram

Zhiwen Yu, Hau-San Wong, Shaohong Zhang, 2007, MLDM.

GCA: A real-time grid-based clustering algorithm for large data set

Zhiwen Yu, Hau-San Wong, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering

Hareton K. N. Leung, Jane You, Zhiwen Yu, 2016, IEEE Transactions on Knowledge and Data Engineering.

A weighted local view method based on observation over ground truth for community detection

Hau-San Wong, Bo Yang, Yanmei Hu, 2016, Inf. Sci..

Progressive Semisupervised Learning of Multiple Classifiers

Yide Wang, Jane You, Zhiwen Yu, 2018, IEEE Transactions on Cybernetics.

Relevance vector machine for content-based retrieval of 3D head models

Hau-San Wong, Bo Ma, Horace Ho-Shing Ip, 2005, Ninth International Conference on Information Visualisation (IV'05).

Semisupervised Multiple Choice Learning for Ensemble Classification

Zhiwen Yu, Hau-San Wong, Xiangping Zeng, 2020, IEEE Transactions on Cybernetics.

Indexing and retrieval of 3D models by unsupervised clustering with hierarchical SOM

Hau-San Wong, Yang Sha, Horace H. S. Ip, 2004, ICPR 2004.

Locality-Sensitive Term Weighting for Short Text Clustering

Hau-San Wong, Sheng Qian, Wen-Ming Cao, 2017, ICONIP.

Self-supervised GAN for Image Generation by Correlating Image Channels

Rui Li, Hau-San Wong, Si Wu, 2018, PCM.

Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method

Hau-San Wong, De-Shuang Huang, Bing Wang, 2007, Third International Conference on Natural Computation (ICNC 2007).

3D Model Retrieval Based on Multi-Shell Extended Gaussian Image

Hau-San Wong, Yuanxiang Li, Jiqi Zhang, 2007, VISUAL.

Gene set enrichment ensemble using fold change data only

Dongqing Xie, Hau-San Wong, Hai Huang, 2015, J. Biomed. Informatics.

Corpus-based topic diffusion for short text clustering

Hau-San Wong, Cheng Liu, Chutao Zheng, 2018, Neurocomputing.

Information Mining from Multimedia Databases

Ling Guan, Hau-San Wong, Paul H. Lewis, 2006, EURASIP J. Adv. Signal Process..

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks

Hau-San Wong, De-Shuang Huang, Bing Wang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A Comparison Study for DNA Motif Modeling on Protein Binding Microarray

Hau-San Wong, Yue Li, Chengbin Peng, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

3-D Head Model Retrieval Using a Single Face View Query

Zhiwen Yu, Hau-San Wong, Bo Ma, 2007, IEEE Transactions on Multimedia.

Kernel clustering-based discriminant analysis

Hau-San Wong, Bo Ma, Hui-yang Qu, 2007, Pattern Recognit..

Compressed domain feature transformation using evolutionary strategies for image classification

Hau-San Wong, Horace Ho-Shing Ip, Chun-Ip Chia, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Fuzzy cluster ensemble and its application on 3D head model classification

Zhiwen Yu, Hau-San Wong, Xing Wang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

An evolutionary optimization approach for 3D human head model classification

Hau-San Wong, Horace Ho-Shing Ip, Kent K. T. Cheung, 2003, MIR '03.

Adaptive regularization in image restoration using a model-based neural network

Ling Guan, Hau-San Wong, 1997, Electronic Imaging.

Learning and Adaptive Characterization of Visual Contents in Image Retrieval Systems

Hau-San Wong, Paisarn Muneesawang, Jose Lay, 2018, Handbook of Neural Network Signal Processing.

FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA

Zhiwen Yu, Hau-San Wong, 2006, 2006 IEEE International Conference on Multimedia and Expo.

3D head model classification using optimized EGI

Hau-San Wong, Bo Ma, Xin Tong, 2006, Electronic Imaging.

Fast Gaussian Mixture Clustering for Skin Detection

Zhiwen Yu, Hau-San Wong, 2007, ICIP.

Face recognition based on 2D Fisherface approach

Hau-San Wong, David Zhang, Xiao-Yuan Jing, 2006, Pattern Recognit..

Human Computer Interaction

Hau-San Wong, Horace Ho-Shing Ip, 2006, Encyclopedia of Multimedia.

Domain content based protein function prediction using incomplete GO annotation information

Zhiwen Yu, Hau-San Wong, Lirong Tan, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning

Hau-San Wong, Wenming Cao, Si Wu, 2021, IEEE Transactions on Multimedia.

Semi-supervised clustering with pairwise and size constraints

Dongqing Xie, Hau-San Wong, Shaohong Zhang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Knowledge based Cluster Ensemble

Zhiwen Yu, Hau-San Wong, Xing Wang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Fuzzy multi-objective portfolio selection model with transaction costs

Xiang Li, Yang Zhang, Hau-San Wong, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Content-Based 3D Model Retrieval Based on the Spatial Geometric Descriptor

Hau-San Wong, Yuanxiang Li, Jiqi Zhang, 2007, PCM.

3D head model retrieval in kernel feature space using HSOM

Hau-San Wong, Bo Ma, Yang Sha, 2008, Pattern Recognit..

Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles

Jane You, Zhiwen Yu, Guoqiang Han, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Face recognition based on discriminant fractional Fourier feature extraction

David Zhang, Xiao-Yuan Jing, Hau-San Wong, 2006, Pattern Recognit. Lett..

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation

Hau-San Wong, Rui Li, Si Wu, 2020, IEEE Transactions on Image Processing.

Distribution-Based Cluster Structure Selection

Jane You, Zhiwen Yu, Guoqiang Han, 2017, IEEE Transactions on Cybernetics.

Application of evolutionary programming to adaptive regularization in image restoration

Ling Guan, Hau-San Wong, 2000, IEEE Trans. Evol. Comput..

A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity

Dongqing Xie, Hau-San Wong, Ying Shen, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Fast Gaussian Mixture Clustering for Skin Detection

Zhiwen Yu, Hau-San Wong, 2006, 2006 International Conference on Image Processing.

A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture

Ling Guan, Hau-San Wong, L. Guan, 2001, IEEE Trans. Neural Networks.

Constructing the gene regulation-level representation of microarray data for cancer classification

Hau-San Wong, Hong-Qiang Wang, Hong-Qiang Wang, 2008, J. Biomed. Informatics.

Hybrid clustering solution selection strategy

Yunjun Gao, Jane You, Zhiwen Yu, 2014, Pattern Recognit..

Multiobjective Semisupervised Classifier Ensemble

Jun Zhang, Jane You, Zhiwen Yu, 2019, IEEE Transactions on Cybernetics.

3D Head Model Classification Using KCDA

Hau-San Wong, Yao Lu, Bo Ma, 2006, PCM.

Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles

Jane You, Zhiwen Yu, Guoqiang Han, 2014, 2014 22nd International Conference on Pattern Recognition.

Efficient Direct Structured Subspace Clustering

Rui Li, Hau-San Wong, Si Wu, 2018, ICONIP.

Adaptive Regularized Semi-Supervised Clustering Ensemble

Zhiwen Yu, Hau-San Wong, Rui Luo, 2020, IEEE Access.

Application of evolutionary strategies for 3D graphical model categorization and retrieval

Hau-San Wong, Horace Ho-Shing Ip, Kent K. T. Cheung, 2005, Multimedia Systems.

Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems

Zhiwen Yu, Hau-San Wong, Ming Wei, 2011, IEEE Transactions on Evolutionary Computation.

A fuzzy model-based neural network for adaptive regularization in image restoration

Ling Guan, Hau-San Wong, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2007, IEEE Transactions on Multimedia.

Learning with Partially Shared Features for Multi-Task Learning

Hau-San Wong, Wen-Ming Cao, Cheng Liu, 2017, ICONIP.

Three-dimensional shape recovery across two views using approximate geometric constraints

Ronald Chung, Hau-San Wong, 2003 .

Introduction to the Peptide Binding Problem of Computational Immunology: New Results

Hau-San Wong, Stephen Smale, Xin Guo, 2014, Found. Comput. Math..

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks

Rui Li, Hau-San Wong, Si Wu, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Face and palmprint feature level fusion for single sample biometrics recognition

Xiao-Yuan Jing, Hau-San Wong, Yong-Fang Yao, 2007, Neurocomputing.

OWA-PSSM — A position specific scoring matrix based method integrated with OWA weights for HLA-DR peptide binding prediction

Hau-San Wong, Wen-Jun Shen, H. Wong, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

From cluster ensemble to structure ensemble

Jane You, Zhiwen Yu, Guoqiang Han, 2012, Inf. Sci..

Class Discovery From Gene Expression Data Based on Perturbation and Cluster Ensemble

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2009, IEEE Transactions on NanoBioscience.

Feature-based 3D motif filtering for ribosomal RNA

Zhiwen Yu, Hau-San Wong, Ying Shen, 2011, Bioinform..

Variant SemiBoost for Improving Human Detection in Application Scenes

Hau-San Wong, Si Wu, Shufeng Wang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

A fuzzy minimax clustering model and its applications

Xiang Li, Hau-San Wong, Si Wu, 2012, Inf. Sci..

A Bayesian Model for Crowd Escape Behavior Detection

Zhiwen Yu, Hau-San Wong, Si Wu, 2014, IEEE Transactions on Circuits and Systems for Video Technology.

An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering.

Jane You, Zhiwen Yu, Hau-San Wong, 2019, IEEE transactions on cybernetics.

Hierarchical multi-classifier system design based on evolutionary computation technique

Hau-San Wong, Yang Sha, Horace Ho-Shing Ip, 2006, Multimedia Tools and Applications.

Generalized Adjusted Rand Indices for cluster ensembles

Hau-San Wong, Ying Shen, Shaohong Zhang, 2012, Pattern Recognit..

Generalized Pair-Counting Similarity Measures for Clustering and Cluster Ensembles

Ying Gao, Dongqing Xie, Hau-San Wong, 2017, IEEE Access.

Fundamentals of CI-Inspired Adaptive Image Restoration

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2009 .

2D clustering based discriminant analysis for 3D head model classification

Hau-San Wong, Bo Ma, 2006, Pattern Recognit..

3D model metrieval based on volumetric extended gaussian image and hierarchical self organizing map

Zhiwen Yu, Hau-San Wong, Jiqi Zhang, 2006, MM '06.

Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Characterization of perceptual importance for object-based image segmentation

Ling Guan, Hau-San Wong, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Quantization-based clustering algorithm

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2010, Pattern Recognit..

Nearest neighbor evolutionary algorithm for constrained optimization problem

Zhiwen Yu, Hau-San Wong, Dingwen Wang, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Coupled Learning for Image Generation and Latent Representation Inference Using MMD

Rui Li, Hau-San Wong, Si Wu, 2018, PCM.

A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors

Hau-San Wong, Zesong Li, Peng Wang, 2019, ICONIP.

Human Computer Interaction

Hau-San Wong, Horace Ho-Shing Ip, 2008, Encyclopedia of Multimedia.

Characterisation of semantic similarity on gene ontology based on a shortest path approach

Hau-San Wong, Ying Shen, Shaohong Zhang, 2014, Int. J. Data Min. Bioinform..

K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites

Zhiwen Yu, Hau-San Wong, Zhongkai Deng, 2008, BIOCOMP.

Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification

Jun Zhang, Jane You, Zhiwen Yu, 2019, IEEE Transactions on Cybernetics.

A new method for measuring the semantic similarity on gene ontology

Hau-San Wong, Ying Shen, Shaohong Zhang, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

ASM: An adaptive simplification method for 3D point-based models

Zhiwen Yu, Hau-San Wong, Hong Peng, 2010, Comput. Aided Des..

Towards a Mathematical Foundation of Immunology and Amino Acid Chains pdf

Hau-San Wong, Stephen Smale, Xin Guo, 2012, ArXiv.

Crowd Flow Segmentation Using a Novel Region Growing Scheme

Zhiwen Yu, Hau-San Wong, Si Wu, 2009, PCM.

Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering

Hareton K. N. Leung, Jane You, Zhiwen Yu, 2016, IEEE Trans. Knowl. Data Eng..

Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution

Hau-San Wong, Si Wu, H. Wong, 2012, Pattern Recognit..

Content-Based Retrieval of 3D Head Models Using a Single Face View Query

Hau-San Wong, Horace Ho-Shing Ip, Pui Fong Yeung, 2004, PCM.

GPCD: Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Hybrid Associative Retrieval of Three-Dimensional Models

Zhiwen Yu, Hau-San Wong, Horace Ho-Shing Ip, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Spatially Adaptive Image Restoration

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2009 .

Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering

Zhiwen Yu, Hau-San Wong, Si Wu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks

Hau-San Wong, Si Wu, Zhiwen Yu, 2019, AAAI.

An uncorrelated fisherface approach

David Zhang, Yuan Yan Tang, Xiao-Yuan Jing, 2005, Neurocomputing.

A neural network-based biomarker association information extraction approach for cancer classification

Hau-San Wong, Hailong Zhu, Hong-Qiang Wang, 2009, J. Biomed. Informatics.

3D model representation using adaptive volumetric extended Gaussian image

Hau-San Wong, Jiqi Zhang, Dingwen Wang, 2007, CIVR '07.

An adaptive approach for texture enhancement based on a fractional differential operator with non-integer step and order

Hau-San Wong, Baochuan Fu, Heng Luo, 2015, Neurocomputing.

A model-based neural network for edge characterization

Ling Guan, Hau-San Wong, Terry Caelli, 2000, Pattern Recognit..

A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials

Hau-San Wong, De-Shuang Huang, Zheru Chi, 2005, Appl. Math. Comput..

Neural vision system and applications in image processing and analysis

Ling Guan, Raniero Romagnoli, Hau-San Wong, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Motion synthesis based on dimensionality reduction

Hau-San Wong, Zhiwen Yu, Xing Wang, 2008, 2008 First IEEE International Conference on Ubi-Media Computing.

Behavior regularized prototypical networks for semi-supervised few-shot image classification

Zhiwen Yu, Hau-San Wong, Si Wu, 2021, Pattern Recognit..

Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection

Jane You, Zhiwen Yu, Guoqiang Han, 2018, IEEE Transactions on Knowledge and Data Engineering.

Genetic-based K-means algorithm for selection of feature variables

Zhiwen Yu, Hau-San Wong, Zhiwen Yu, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Adaptive activation functions in convolutional neural networks

Hau-San Wong, Si Wu, Hua Liu, 2018, Neurocomputing.

Credibilistic Satisfiability and Credibilistic Entailment

Xiang Li, Hau-San Wong, H. Wong, 2010, J. Multiple Valued Log. Soft Comput..

Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification

Hau-San Wong, Zhiwen Yu, Si Wu, 2020, IEEE Transactions on Image Processing.

A Shape Derivative Based Approach for Crowd Flow Segmentation

Zhiwen Yu, Hau-San Wong, Si Wu, 2009, ACCV.

Knowledge based cluster ensemble for 3D head model classification

Zhiwen Yu, Hau-San Wong, 2008, 2008 19th International Conference on Pattern Recognition.

Crowd Motion Partitioning in a Scattered Motion Field

Hau-San Wong, Si Wu, H. Wong, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Adaptive Image Processing: A Computational Intelligence Perspective, Second Edition

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2009 .

Polyhedral Object Localization in an Image by Referencing to a Single Model View

Ronald Chung, Hau-San Wong, 2004, International Journal of Computer Vision.

Edge characterization using a model-based neural network

Ling Guan, Hau-San Wong, Terry Caelli, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

11 Learning and Adaptive Characterization of Visual Contents in Image Retrieval Systems

Hau-San Wong, Paisarn Muneesawang, P. Muneesawang, 2001 .

Gaussian Representation for 3D Point Based Head Model Classification Based on Generalized Minimax Algorithm

Zhiwen Yu, Hau-San Wong, Jiqi Zhang, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Transfer Clustering Ensemble Selection

Jun Zhang, Yide Wang, Jane You, 2020, IEEE Transactions on Cybernetics.

Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning.

Zhiwen Yu, Hau-San Wong, Wenming Cao, 2020, IEEE transactions on neural networks and learning systems.

Adaptive regularization in image restoration by unsupervised learning

Ling Guan, Hau-San Wong, 1998, J. Electronic Imaging.

Labeling of Human Motion by Constraint-Based Genetic Algorithm

Hau-San Wong, Fuyuan Hu, Zhi Qiang Liu, 2006, 2006 International Conference on Computational Intelligence and Security.

Hybrid cluster ensemble framework based on the random combination of data transformation operators

Jane You, Zhiwen Yu, Guoqiang Han, 2012, Pattern Recognit..

Extracting gene regulation information for cancer classification

Hau-San Wong, De-Shuang Huang, Hong-Qiang Wang, 2007, Pattern Recognit..

Simplified unsupervised image translation for semantic segmentation adaptation

Hau-San Wong, Rui Li, Si Wu, 2020, Pattern Recognit..

A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns

Xiang Li, Yang Zhang, Hau-San Wong, 2009, J. Comput. Appl. Math..

Progressive subspace ensemble learning

Jane You, Zhiwen Yu, Jun Zhang, 2016, Pattern Recognit..

Improving the selectivity of range query for image databases based on a probabilistic framework

Zhiwen Yu, Hau-San Wong, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme

Jane You, Zhiwen Yu, Guoqiang Han, 2012, Inf. Sci..

Clustering by Local Gravitation

Zhiqiang Wang, Jane You, Zhiwen Yu, 2018, IEEE Transactions on Cybernetics.

Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion

Jun Zhang, Zhiwen Yu, Guoqiang Han, 2019, IEEE Transactions on Cybernetics.

Unsupervised Multi-task Learning with Hierarchical Data Structure

Hau-San Wong, Si Wu, Wenming Cao, 2019, Pattern Recognit..

Edge Detection Using Model-Based Neural Networks

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2009 .

Robust Epileptic Seizure Classification

Jane You, Zhiwen Yu, Guoqiang Han, 2016, ICIC.

Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification

Zhiwen Yu, Hau-San Wong, Si Wu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A recursive low level vision system

Ling Guan, Hau-San Wong, Stuart Perry, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

Long-Range Interaction Analysis using Principal Component Analysis

Hau-San Wong, De-Shuang Huang, Bing Wang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Identification of phosphorylation sites using a hybrid classifier ensemble approach

Zhiwen Yu, Hau-San Wong, Zhongkai Deng, 2008, 2008 19th International Conference on Pattern Recognition.

3D motion sequence retrieval based on data distribution

Zhiwen Yu, Hau-San Wong, Xing Wang, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Ensemble based 3D human motion classification

Zhiwen Yu, Hau-San Wong, Xing Wang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

3D Head Model Classifcation based on Bayesian classifer

Zhiwen Yu, Hau-San Wong, Shaohong Zhang, 2007, MLDM Posters.

Adaptive Ensembling of Semi-Supervised Clustering Solutions

Jane You, Zhiwen Yu, Jun Zhang, 2017, IEEE Transactions on Knowledge and Data Engineering.

3D head model classification by evolutionary optimization of the Extended Gaussian Image representation

Hau-San Wong, Horace Ho-Shing Ip, Kent K. T. Cheung, 2004, Pattern Recognit..

Content-Based Image Retrieval Using Computational Intelligence Techniques

Ling Guan, Hau-San Wong, Kim-Hui Yap, 2018 .

Semi-Supervised Image Classification With Self-Paced Cross-Task Networks

Zhiwen Yu, Hau-San Wong, Si Wu, 2018, IEEE Transactions on Multimedia.

Model Adaptation: Unsupervised Domain Adaptation Without Source Data

Hau-San Wong, Rui Li, Si Wu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection

Hau-San Wong, Si Wu, Sihao Lin, 2021 .

Progressive Hybrid Classifier Ensemble for Imbalanced Data

Jane You, Zhiwen Yu, Guoqiang Han, 2021 .

The residual generator: An improved divergence minimization framework for GAN

Hau-San Wong, Xudong Mao, Si Wu, 2022, Pattern Recognit..

Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations

Hau-San Wong, Si Wu, Yi Liu, 2021, ACM Multimedia.

Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification

Hau-San Wong, Si Wu, Cheng Liu, 2021, IEEE Transactions on Image Processing.

High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition

Hau-San Wong, Si Wu, Sheng Qian, 2021, AAAI.

Adversarially Constrained Interpolation for Unsupervised Domain Adaptation

Hau-San Wong, Si Wu, Aurele Tohokantche Gnanha, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders

Zhiwen Yu, Hau-San Wong, Si Wu, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Unsupervised Ensemble Learning Via Network Generation

Zhiwen Yu, Hau-San Wong, C. L. Philip Chen, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis

Hau-San Wong, Si Wu, Yong Xu, 2021, IEEE Transactions on Multimedia.

Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy

Hau-San Wong, Si Wu, Qianfen Jiao, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

DDAT: Dual domain adaptive translation for low-resolution face verification in the wild

Hau-San Wong, Wenming Cao, Si Wu, 2021, Pattern Recognit..

Adversarially Smoothed Feature Alignment for Visual Domain Adaptation

Hau-San Wong, Si Wu, Aurele Tohokantche Gnanha, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Labeling of Human Motion Based on CBGA and Probabilistic Model

Hau-San Wong, Fuyuan Hu, Fuyuan Hu, 2013 .

TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules

Hau-San Wong, Shuigeng Zhou, Hiroshi Mamitsuka, 2012, PloS one.

Representative Distance: A New Similarity Measure for Class Discovery From Gene Expression Data

Jane You, Zhiwen Yu, Guoqiang Han, 2012, IEEE Transactions on NanoBioscience.

Adaptive regularization in image restoration using evolutionary programming

Ling Guan, Hau-San Wong, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

RNA structural motif recognition based on least-squares distance

Hau-San Wong, Shaohong Zhang, Lin Zhang, 2013, RNA.

MHC binding prediction with KernelRLSpan and its variations.

Hau-San Wong, Shuai Cheng Li, Yu Ting Wei, 2014, Journal of immunological methods.

A NEURAL NETWORK APPROACH FOR PREDICTING NETWORK RESOURCE REQUIREMENT IN VIDEO TRANSMISSION SYSTEMS

Hau-San Wong, Min Wu, Robert A. Joyce, 2000 .

Identifying Protein-Kinase-Specific Phosphorylation Sites Based on the Bagging–AdaBoost Ensemble Approach

Zhiwen Yu, Hau-San Wong, Zhongkai Deng, 2010, IEEE Transactions on NanoBioscience.