Compression of digital mammogram databases using a near-lossless scheme. - Hau-San Wong; Ling Guan; H. Hong (ICIP, 1995)

Neural vision system and applications in image processing and analysis. - Ling Guan; Stuart W. Perry; Raniero Romagnoli; Hau-San Wong; Haosong Kong (ICASSP, 1998)

Adaptive regularization in image restoration by unsupervised learning. - Hau-San Wong; Ling Guan (J. Electronic Imaging, 1998)

Edge characterization using a model-based neural network. - Hau-San Wong; Terry Caelli; Ling Guan (ICASSP, 1999)

A Fuzzy Model-Based Neural Network for Adaptive Regularization in Image Restoration. - Hau-San Wong; Ling Guan (ICIP (1), 1999)

Characterization of Perceptual Importance for Object-Based Image Segmentation. - Hau-San Wong; Ling Guan (ICIP, 2000)

A model-based neural network for edge characterization. - Hau-San Wong; Terry Caelli; Ling Guan (Pattern Recognit., 2000)

Application of evolutionary programming to adaptive regularization in image restoration. - Hau-San Wong; Ling Guan (IEEE Trans. Evol. Comput., 2000)

Dynamic resource allocation via video content and short-term traffic statistics. - Min Wu 001; Robert A. Joyce; Hau-San Wong; Ling Guan; Sun-Yuan Kung (IEEE Trans. Multim., 2001)

A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture. - Hau-San Wong; Ling Guan (IEEE Trans. Neural Networks, 2001)

Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks. - De-Shuang Huang; Horace H. S. Ip; Ken C. K. Law; Hau-San Wong (IJCNN, 2003)

An evolutionary optimization approach for 3D human head model classification. - Hau-San Wong; Kent K. T. Cheung; Horace Ho-Shing Ip (Multimedia Information Retrieval, 2003)

Polyhedral Object Localization in an Image by Referencing to a Single Model View. - Ronald Chung; Hau-San Wong (Int. J. Comput. Vis., 2003)

Compressed domain feature transformation using evolutionary strategies for image classification. - Chun-Ip Chia; Hau-San Wong; Horace Ho-Shing Ip (ICIP, 2004)

Indexing and Retrieval of 3D Models by Unsupervised Clustering with Hierarchical SOM. - Hau-San Wong; Kent K. T. Cheung; Yang Sha; Horace Ho-Shing Ip (ICPR (4), 2004)

Content-Based Retrieval of 3D Head Models Using a Single Face View Query. - Pui Fong Yeung; Hau-San Wong; Horace Ho-Shing Ip (PCM (2), 2004)

3D head model classification by evolutionary optimization of the Extended Gaussian Image representation. - Hau-San Wong; Kent K. T. Cheung; Horace Ho-Shing Ip (Pattern Recognit., 2004)

Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment. - Apple W. P. Fok; Hau-San Wong; Y. S. Chen (ICME, 2005)

Hierarchical Indexing for 3D Head Model Retrieval Based on Kernel PCA. - Hau-San Wong; Bo Ma 001; Yang Sha; Horace Ho-Shing Ip (IV, 2005)

Relevance Vector Machine for Content-Based Retrieval of 3D Head Models. - Pui Fong Yeung; Hau-San Wong; Bo Ma 001; Horace Ho-Shing Ip (IV, 2005)

A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. - De-Shuang Huang; Horace Ho-Shing Ip; Ken C. K. Law; Zheru Chi; Hau-San Wong (Appl. Math. Comput., 2005)

An uncorrelated fisherface approach. - Xiao-Yuan Jing; Hau-San Wong; David Zhang 001; Yuan Yan Tang (Neurocomputing, 2005)

Application of evolutionary strategies for 3D graphical model categorization and retrieval. - Hau-San Wong; Kent K. T. Cheung; Chun-Ip Chiu; Horace Ho-Shing Ip (Multim. Syst., 2005)

Transformation of Compressed Domain Features for Content-Based Image Indexing and Retrieval. - Hau-San Wong; Horace Ho-Shing Ip; Lawrence P. L. Iu; Kent K. T. Cheung; Ling Guan (Multim. Tools Appl., 2005)

3D head model classification using optimized EGI. - Xin Tong; Hau-San Wong; Bo Ma 001 (Three-Dimensional Image Capture and Applications, 2006)

Labeling of Human Motion by Constraint-Based Genetic Algorithm. - Fuyuan Hu; Hau-San Wong; Zhi Qiang Liu; Hui-yang Qu (CIS, 2006)

Learning Graphical Model for Human Motion Characterization Using Genetic Optimization. - Hui-yang Qu; Hau-San Wong; Bo Ma 001 (ICARCV, 2006)

GPCD: Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games. - Zhiwen Yu 002; Hau-San Wong (ICME, 2006)

FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA. - Zhiwen Yu 002; Hau-San Wong (ICME, 2006)

An efficient local clustering approach for simplification of 3D point-based computer graphics models. - Zhiwen Yu 002; Hau-San Wong (ICME, 2006)

Evolutionary Optimization of Feature Representation for 3D Point-based. - Xin Tong; Hau-San Wong; Bo Ma 001; Horace Ho-Shing Ip (ICPR (2), 2006)

GCA: A real-time grid-based clustering algorithm for large data set. - Zhiwen Yu 002; Hau-San Wong (ICPR (2), 2006)

Genetic-based K-means algorithm for selection of feature variables. - Zhiwen Yu 002; Hau-San Wong (ICPR (2), 2006)

Mining Uncertain Data in Low-dimensional Subspace. - Zhiwen Yu 002; Hau-San Wong (ICPR (2), 2006)

Long-Range Interaction Analysis using Principal Component Analysis. - Peng Chen 001; Bing Wang 004; Hau-San Wong; De-Shuang Huang (IJCNN, 2006)

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. - Bing Wang 004; Hau-San Wong; Peng Chen 001; Hong-Qiang Wang; De-Shuang Huang (IJCNN, 2006)

Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM. - Zhiwen Yu 002; Hau-San Wong (IJCNN, 2006)

3D model metrieval based on volumetric extended gaussian image and hierarchical self organizing map. - Jiqi Zhang; Hau-San Wong; Zhiwen Yu 002 (ACM Multimedia, 2006)

3D Head Model Classification Using KCDA. - Bo Ma 001; Hui-yang Qu; Hau-San Wong; Yao Lu 001 (PCM, 2006)

Improving the selectivity of range query for image databases based on a probabilistic framework. - Zhiwen Yu 002; Hau-San Wong (SMC, 2006)

Information Mining from Multimedia Databases. - Ling Guan; Horace Ho-Shing Ip; Paul H. Lewis; Hau-San Wong; Paisarn Muneesawang (EURASIP J. Adv. Signal Process., 2006)

Face recognition based on 2D Fisherface approach. - Xiao-Yuan Jing; Hau-San Wong; David Zhang 001 (Pattern Recognit., 2006)

2D clustering based discriminant analysis for 3D head model classification. - Bo Ma 001; Hau-San Wong (Pattern Recognit., 2006)

Face recognition based on discriminant fractional Fourier feature extraction. - Xiao-Yuan Jing; Hau-San Wong; David Zhang 001 (Pattern Recognit. Lett., 2006)

Human Computer Interaction. - Hau-San Wong; Horace Ho-Shing Ip (Encyclopedia of Multimedia, 2006)

3D model representation using adaptive volumetric extended Gaussian image. - Jiqi Zhang; Dingwen Wang; Hau-San Wong (CIVR, 2007)

Fast Gaussian Mixture Clustering for Skin Detection. - Zhiwen Yu 002; Hau-San Wong (ICIP (4), 2007)

Gaussian Representation for 3D Point Based Head Model Classification Based on Generalized Minimax Algorithm. - Zhiwen Yu 002; Hau-San Wong; Jiqi Zhang (ICME, 2007)

Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. - Bing Wang 004; Lu-Sheng Ge; De-Shuang Huang; Hau-San Wong (ICNC (2), 2007)

Prediction of Long-range Contacts from Sequence Profile. - Peng Chen 001; Bing Wang 004; Hau-San Wong; De-Shuang Huang (IJCNN, 2007)

Image Segmentation Based on Cluster Ensemble. - Zhiwen Yu 002; Shaohong Zhang; Hau-San Wong; Jiqi Zhang (ISNN (3), 2007)

A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram. - Zhiwen Yu 002; Shaohong Zhang; Hau-San Wong; Jiqi Zhang (MLDM, 2007)

3D Head Model Classification based on Bayesian classifer. - Zhiwen Yu 002; Shaohong Zhang; Jiqi Zhang; Hau-San Wong (MLDM Posters, 2007)

3D Head Model Classification based on Cluster Ensemble. - Zhiwen Yu 002; Shaohong Zhang; Jiqi Zhang; Hau-San Wong (MLDM Posters, 2007)

Content-Based 3D Model Retrieval Based on the Spatial Geometric Descriptor. - Dingwen Wang; Jiqi Zhang; Hau-San Wong; Yuanxiang Li 001 (PCM, 2007)

3D Model Retrieval Based on Multi-Shell Extended Gaussian Image. - Dingwen Wang; Jiqi Zhang; Hau-San Wong; Yuanxiang Li 001 (VISUAL, 2007)

Graph-based consensus clustering for class discovery from gene expression data. - Zhiwen Yu 002; Hau-San Wong; Hong-Qiang Wang (Bioinform., 2007)

Face and palmprint feature level fusion for single sample biometrics recognition. - Yong-Fang Yao; Xiao-Yuan Jing; Hau-San Wong (Neurocomputing, 2007)

Hierarchical multi-classifier system design based on evolutionary computation technique. - Hau-San Wong; Kent K. T. Cheung; Chun-Ip Chiu; Yang Sha; Horace Ho-Shing Ip (Multim. Tools Appl., 2007)

Kernel clustering-based discriminant analysis. - Bo Ma 001; Hui-yang Qu; Hau-San Wong (Pattern Recognit., 2007)

Extracting gene regulation information for cancer classification. - Hong-Qiang Wang; Hau-San Wong; De-Shuang Huang; Jun Shu (Pattern Recognit., 2007)

3-D Head Model Retrieval Using a Single Face View Query. - Hau-San Wong; Bo Ma 001; Zhiwen Yu 002; Pui Fong Yeung; Horace Ho-Shing Ip (IEEE Trans. Multim., 2007)

A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering. - Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Multim., 2007)

K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites. - Zhiwen Yu 002; Zhongkai Deng; Hau-San Wong (BIOCOMP, 2008)

Knowledge learning based evolutionary algorithm for unconstrained optimization problem. - Zhiwen Yu 002; Dingwen Wang; Hau-San Wong (IEEE Congress on Evolutionary Computation, 2008)

Nearest neighbor evolutionary algorithm for constrained optimization problem. - Zhiwen Yu 002; Dingwen Wang; Hau-San Wong (IEEE Congress on Evolutionary Computation, 2008)

3D motion sequence retrieval based on data distribution. - Xing Wang; Zhiwen Yu 002; Hau-San Wong (ICME, 2008)

Searching of motion database based on hierarchical SOM. - Xing Wang; Zhiwen Yu 002; Hau-San Wong (ICME, 2008)

Image classification based on the bagging-adaboost ensemble. - Zhiwen Yu 002; Hau-San Wong (ICME, 2008)

Identification of phosphorylation sites using a hybrid classifier ensemble approach. - Zhiwen Yu 002; Zhongkai Deng; Hau-San Wong (ICPR, 2008)

Knowledge based cluster ensemble for 3D head model classification. - Zhiwen Yu 002; Hau-San Wong (ICPR, 2008)

Partial closure-based constrained clustering with order ranking. - Shaohong Zhang; Hau-San Wong (ICPR, 2008)

Fuzzy cluster ensemble and its application on 3D head model classification. - Zhiwen Yu 002; Zhongkai Deng; Hau-San Wong; Xing Wang (IJCNN, 2008)

Knowledge based Cluster Ensemble. - Zhiwen Yu 002; Zhongkai Deng; Hau-San Wong; Xing Wang (IJCNN, 2008)

Ensemble based 3D human motion classification. - Zhiwen Yu 002; Xing Wang; Hau-San Wong (IJCNN, 2008)

Pattern mining based on local distribution. - Zhiwen Yu 002; Xing Wang; Hau-San Wong; Zhongkai Deng (IJCNN, 2008)

Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. - Hong-Qiang Wang; Hau-San Wong; Hailong Zhu (ICMB, 2008)

Constructing the gene regulation-level representation of microarray data for cancer classification. - Hau-San Wong; Hong-Qiang Wang (J. Biomed. Informatics, 2008)

3D head model retrieval in kernel feature space using HSOM. - Hau-San Wong; Bo Ma 001; Yang Sha; Horace Ho-Shing Ip (Pattern Recognit., 2008)

Human Computer Interaction. - Hau-San Wong; Horace H. S. Ip (Encyclopedia of Multimedia, 2008)

A Shape Derivative Based Approach for Crowd Flow Segmentation. - Si Wu 002; Zhiwen Yu 002; Hau-San Wong (ACCV (1), 2009)

Fuzzy multi-objective portfolio selection model with transaction costs. - Yang Zhang 073; Xiang Li 006; Hau-San Wong; Lirong Tan (FUZZ-IEEE, 2009)

Crowd Flow Segmentation Using a Novel Region Growing Scheme. - Si Wu 002; Zhiwen Yu 002; Hau-San Wong (PCM, 2009)

Active constrained clustering with multiple cluster representatives. - Shaohong Zhang; Hau-San Wong (SMC, 2009)

Logic optimality for multi-objective optimization. - Xiang Li 006; Hau-San Wong (Appl. Math. Comput., 2009)

A neural network-based biomarker association information extraction approach for cancer classification. - Hong-Qiang Wang; Hau-San Wong; Hailong Zhu; Timothy T. C. Yip (J. Biomed. Informatics, 2009)

A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns. - Xiang Li 006; Yang Zhang 073; Hau-San Wong; Zhongfeng Qin (J. Comput. Appl. Math., 2009)

A new method for measuring the semantic similarity on gene ontology. - Ying Shen 005; Shaohong Zhang; Hau-San Wong (BIBM, 2010)

ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles. - Shaohong Zhang; Hau-San Wong (ICPR, 2010)

ASM: An adaptive simplification method for 3D point-based models. - Zhiwen Yu 002; Hau-San Wong; Hong Peng; Qian-Li Ma 001 (Comput. Aided Des., 2010)

Credibilistic Satisfiability and Credibilistic Entailment. - Xiang Li 006; Hau-San Wong (J. Multiple Valued Log. Soft Comput., 2010)

Quantization-based clustering algorithm. - Zhiwen Yu 002; Hau-San Wong (Pattern Recognit., 2010)

Hybrid Associative Retrieval of Three-Dimensional Models. - Shaohong Zhang; Hau-San Wong; Zhiwen Yu 002; Horace Ho-Shing Ip (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Feature-based 3D motif filtering for ribosomal RNA. - Ying Shen 005; Hau-San Wong; Shaohong Zhang; Zhiwen Yu 002 (Bioinform., 2011)

A modified support vector machine and its application to image segmentation. - Zhiwen Yu 002; Hau-San Wong; Guihua Wen (Image Vis. Comput., 2011)

Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems. - Zhiwen Yu 002; Hau-San Wong; Dingwen Wang; Ming Wei (IEEE Trans. Evol. Comput., 2011)

OWA-PSSM - A position specific scoring matrix based method integrated with OWA weights for HLA-DR peptide binding prediction. - Wen-Jun Shen; Hau-San Wong (BIBM, 2012)

Towards a Mathematical Foundation of Immunology and Amino Acid Chains - Wen-Jun Shen; Hau-San Wong; Quan-Wu Xiao; Xin Guo 003; Stephen Smale (CoRR, 2012)

A fuzzy minimax clustering model and its applications. - Xiang Li 006; Hau-San Wong; Si Wu 002 (Inf. Sci., 2012)

Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme. - Zhiwen Yu 002; Hau-San Wong; Jane You; Guoqiang Han 002 (Inf. Sci., 2012)

From cluster ensemble to structure ensemble. - Zhiwen Yu 002; Jane You; Hau-San Wong; Guoqiang Han 002 (Inf. Sci., 2012)

Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution. - Si Wu 002; Hau-San Wong (Pattern Recognit., 2012)

Hybrid cluster ensemble framework based on the random combination of data transformation operators. - Zhiwen Yu 002; Hau-San Wong; Jane You; Guo-Xian Yu; Guoqiang Han 002 (Pattern Recognit., 2012)

Generalized Adjusted Rand Indices for cluster ensembles. - Shaohong Zhang; Hau-San Wong; Ying Shen 005 (Pattern Recognit., 2012)

SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles. - Zhiwen Yu 002; Le Li 002; Jane You; Hau-San Wong; Guoqiang Han 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity. - Shaohong Zhang; Hau-San Wong; Ying Shen 005; Dongqing Xie (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Crowd Motion Partitioning in a Scattered Motion Field. - Si Wu 002; Hau-San Wong (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles. - Le Li 002; Zhiwen Yu 002; Jiming Liu 001; Jane You; Hau-San Wong; Guoqiang Han 002 (ICPR, 2014)

AORS: Affinity-based outlier ranking score. - Shaohong Zhang; Hau-San Wong; Wen-Jun Shen; Dongqing Xie (IJCNN, 2014)

Semi-supervised clustering with pairwise and size constraints. - Shaohong Zhang; Hau-San Wong; Dongqing Xie (IJCNN, 2014)

Introduction to the Peptide Binding Problem of Computational Immunology: New Results. - Wen-Jun Shen; Hau-San Wong; Quan-Wu Xiao; Xin Guo 003; Stephen Smale (Found. Comput. Math., 2014)

Characterisation of semantic similarity on gene ontology based on a shortest path approach. - Ying Shen 005; Shaohong Zhang; Hau-San Wong; Lin Zhang 014 (Int. J. Data Min. Bioinform., 2014)

Probabilistic cluster structure ensemble. - Zhiwen Yu 002; Le Li 002; Hau-San Wong; Jane You; Guoqiang Han 002; Yunjun Gao; Guo-Xian Yu (Inf. Sci., 2014)

Hybrid clustering solution selection strategy. - Zhiwen Yu 002; Le Li 002; Yunjun Gao; Jane You; Jiming Liu 001; Hau-San Wong; Guoqiang Han 002 (Pattern Recognit., 2014)

Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles. - Zhiwen Yu 002; Hongsheng Chen; Jane You; Hau-San Wong; Jiming Liu 001; Le Li 002; Guoqiang Han 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

A Bayesian Model for Crowd Escape Behavior Detection. - Si Wu 002; Hau-San Wong; Zhiwen Yu 002 (IEEE Trans. Circuits Syst. Video Technol., 2014)

Iterative Term Weighting for Short Text Data. - Chutao Zheng; Cheng Liu 001; Hau-San Wong (SMC, 2015)

An adaptive approach for texture enhancement based on a fractional differential operator with non-integer step and order. - Fuyuan Hu; Shaohui Si; Hau-San Wong; Baochuan Fu; Maoxin Si; Heng Luo (Neurocomputing, 2015)

Gene set enrichment ensemble using fold change data only. - Hai Huang; Shaohong Zhang; Wen-Jun Shen; Hau-San Wong; Dongqing Xie (J. Biomed. Informatics, 2015)

Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data. - Zhiwen Yu 002; Hantao Chen; Jane You; Jiming Liu 001; Hau-San Wong; Guoqiang Han 002; Le Li 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Incremental semi-supervised clustering ensemble for high dimensional data clustering. - Zhiwen Yu 002; Peinan Luo; Si Wu 002; Guoqiang Han 002; Jane You; Hareton Leung; Hau-San Wong; Jun Zhang 003 (ICDE, 2016)

Robust Epileptic Seizure Classification. - Farrikh Alzami; Daxing Wang; Zhiwen Yu 002; Jane You; Hau-San Wong; Guoqiang Han 002 (ICIC (2), 2016)

A weighted local view method based on observation over ground truth for community detection. - Yanmei Hu; Bo Yang 011; Hau-San Wong (Inf. Sci., 2016)

Progressive subspace ensemble learning. - Zhiwen Yu 002; Daxing Wang; Jane You; Hau-San Wong; Si Wu 002; Jun Zhang 003; Guoqiang Han 002 (Pattern Recognit., 2016)

A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. - Ka-Chun Wong; Yue Li 017; Chengbin Peng 001; Hau-San Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Learning with Partially Shared Features for Multi-Task Learning. - Cheng Liu 001; Wen-Ming Cao 002; Chutao Zheng; Hau-San Wong (ICONIP (5), 2017)

Locality-Sensitive Term Weighting for Short Text Clustering. - Chutao Zheng; Sheng Qian; Wen-Ming Cao 002; Hau-San Wong (ICONIP (1), 2017)

Generalized Pair-Counting Similarity Measures for Clustering and Cluster Ensembles. - Shaohong Zhang; Zongbao Yang; Xiaofei Xing; Ying Gao; Dongqing Xie; Hau-San Wong (IEEE Access, 2017)

A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets. - Zhiwen Yu 002; Zhiqiang Wang 003; Jane You; Jun Zhang 003; Jiming Liu 001; Hau-San Wong; Guoqiang Han 002 (IEEE Trans. Cybern., 2017)

Distribution-Based Cluster Structure Selection. - Zhiwen Yu 002; Xianjun Zhu; Hau-San Wong; Jane You; Jun Zhang 003; Guoqiang Han 002 (IEEE Trans. Cybern., 2017)

Adaptive Ensembling of Semi-Supervised Clustering Solutions. - Zhiwen Yu 002; Zongqiang Kuang; Jiming Liu 001; Hongsheng Chen; Jun Zhang 003; Jane You; Hau-San Wong; Guoqiang Han 002 (IEEE Trans. Knowl. Data Eng., 2017)

Efficient Direct Structured Subspace Clustering. - Wen-ming Cao 002; Rui Li 045; Sheng Qian; Si Wu 002; Hau-San Wong (ICONIP (4), 2018)

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. - Rui Li 045; Wen-ming Cao 002; Sheng Qian; Hau-San Wong; Si Wu 002 (ICPR, 2018)

Self-supervised GAN for Image Generation by Correlating Image Channels. - Sheng Qian; Wen-ming Cao 002; Rui Li 045; Si Wu 002; Hau-San Wong (PCM (2), 2018)

Coupled Learning for Image Generation and Latent Representation Inference Using MMD. - Sheng Qian; Wen-ming Cao 002; Rui Li 045; Si Wu 002; Hau-San Wong (PCM (2), 2018)

Adaptive activation functions in convolutional neural networks. - Sheng Qian; Hua Liu; Cheng Liu 001; Si Wu 002; Hau-San Wong (Neurocomputing, 2018)

Corpus-based topic diffusion for short text clustering. - Chutao Zheng; Cheng Liu 001; Hau-San Wong (Neurocomputing, 2018)

Variant SemiBoost for Improving Human Detection in Application Scenes. - Si Wu 002; Hau-San Wong; Shufeng Wang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Clustering by Local Gravitation. - Zhiqiang Wang 003; Zhiwen Yu 002; C. L. Philip Chen; Jane You; Tianlong Gu; Hau-San Wong; Jun Zhang 003 (IEEE Trans. Cybern., 2018)

Progressive Semisupervised Learning of Multiple Classifiers. - Zhiwen Yu 002; Ye Lu; Jun Zhang 003; Jane You; Hau-San Wong; Yide Wang; Guoqiang Han 002 (IEEE Trans. Cybern., 2018)

Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. - Si Wu 002; Shufeng Wang; Robert Laganière; Cheng Liu 001; Hau-San Wong; Yong Xu 007 (IEEE Trans. Image Process., 2018)

Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection. - Zhiwen Yu 002; Peinan Luo; Jiming Liu 001; Hau-San Wong; Jane You; Guoqiang Han 002; Jun Zhang 003 (IEEE Trans. Knowl. Data Eng., 2018)

Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. - Si Wu 002; Qiujia Ji; Shufeng Wang; Hau-San Wong; Zhiwen Yu 002; Yong Xu 007 (IEEE Trans. Multim., 2018)

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. - Si Wu 002; Jian Zhong; Wenming Cao 002; Rui Li 045; Zhiwen Yu 002; Hau-San Wong (AAAI, 2019)

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. - Si Wu 002; Guangchang Deng; Jichang Li; Rui Li 045; Zhiwen Yu 002; Hau-San Wong (CVPR, 2019)

Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. - Si Wu 002; Jichang Li; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (CVPR, 2019)

Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. - Si Wu 002; Sihao Lin; Wenhao Wu; Mohamed Azzam; Hau-San Wong (ICCV, 2019)

A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors. - Bo Yang 011; Qilin Mu; Hairui Zou; Yancheng Zeng; Hau-San Wong; Zesong Li; Peng Wang (ICONIP (4), 2019)

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. - Sheng Qian; Guanyue Li; Wen-Ming Cao 002; Cheng Liu 001; Si Wu 002; Hau-San Wong (IJCAI, 2019)

Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm. - Shantian Yang; Bo Yang 011; Hau-San Wong; Zhongfeng Kang (Knowl. Based Syst., 2019)

Unsupervised Multi-task Learning with Hierarchical Data Structure. - Wenming Cao 002; Sheng Qian; Si Wu 002; Hau-San Wong (Pattern Recognit., 2019)

Encoding sparse and competitive structures among tasks in multi-task learning. - Cheng Liu 001; Chutao Zheng; Sheng Qian; Si Wu 002; Hau-San Wong (Pattern Recognit., 2019)

Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis. - Cheng Liu 001; Hau-San Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Multiobjective Semisupervised Classifier Ensemble. - Zhiwen Yu 002; Yidong Zhang; C. L. Philip Chen; Jane You; Hau-San Wong; Dan Dai; Si Wu 002; Jun Zhang 003 (IEEE Trans. Cybern., 2019)

Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion. - Yong Du 003; Guoqiang Han 002; Yuhui Quan; Zhiwen Yu 002; Hau-San Wong; C. L. Philip Chen; Jun Zhang 003 (IEEE Trans. Cybern., 2019)

Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification. - Zhiwen Yu 002; Daxing Wang; Zhuoxiong Zhao; C. L. Philip Chen; Jane You; Hau-San Wong; Jun Zhang 003 (IEEE Trans. Cybern., 2019)

Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification. - Zhiwen Yu 002; Yidong Zhang; Jane You; C. L. Philip Chen; Hau-San Wong; Guoqiang Han 002; Jun Zhang 003 (IEEE Trans. Cybern., 2019)

Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering. - Wenming Cao 002; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2019)

Model Adaptation: Unsupervised Domain Adaptation Without Source Data. - Rui Li 045; Qianfen Jiao; Wenming Cao 002; Hau-San Wong; Si Wu 002 (CVPR, 2020)

Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. - Yi Liu; Guangchang Deng; Xiangping Zeng; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (CVPR, 2020)

Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. - Mohamed Azzam; Aurele Tohokantche Gnanha; Hau-San Wong; Si Wu 002 (ICPR, 2020)

Adaptive Regularized Semi-Supervised Clustering Ensemble. - Rui Luo; Zhiwen Yu 002; Wenming Cao 002; Cheng Liu 001; Hau-San Wong; C. L. Philip Chen (IEEE Access, 2020)

Joint subspace and discriminative learning for self-paced domain adaptation. - Cheng Liu 001; Si Wu 002; Wenming Cao 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (Knowl. Based Syst., 2020)

Simplified unsupervised image translation for semantic segmentation adaptation. - Rui Li 045; Wenming Cao 002; Qianfen Jiao; Si Wu 002; Hau-San Wong (Pattern Recognit., 2020)

Multitask Feature Selection by Graph-Clustered Feature Sharing. - Cheng Liu 001; Chutao Zheng; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Cybern., 2020)

Transfer Clustering Ensemble Selection. - Yifan Shi; Zhiwen Yu 002; C. L. Philip Chen; Jane You; Hau-San Wong; Yide Wang; Jun Zhang 003 (IEEE Trans. Cybern., 2020)

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. - Rui Li 045; Wenming Cao 002; Si Wu 002; Hau-San Wong (IEEE Trans. Image Process., 2020)

Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. - Jichang Li; Si Wu 002; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Image Process., 2020)

Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. - Si Wu 002; Wenhao Wu; Shiyao Lei; Sihao Lin; Rui Li 045; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Image Process., 2020)

Hybrid Classifier Ensemble for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; Xin Wen; Wenming Cao 002; C. L. Philip Chen; Hau-San Wong; Jane You (IEEE Trans. Neural Networks Learn. Syst., 2020)

High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. - Guanyue Li; Qianfen Jiao; Sheng Qian; Si Wu 002; Hau-San Wong (AAAI, 2021)

Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. - Yi Liu; Xiaoyang Huo; Tianyi Chen; Xiangping Zeng; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (CVPR, 2021)

Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. - Tianyi Chen; Yi Liu; Yunfei Zhang; Si Wu 002; Yong Xu 007; Liangbing Feng; Hau-San Wong (ICCV, 2021)

Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. - Mohamed Azzam; Si Wu 002; Aurele Tohokantche Gnanha; Qianfen Jiao; Hau-San Wong (ICME, 2021)

Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders. - Guanyue Li; Xiwen Wei; Sheng Qian; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (ICME, 2021)

Unsupervised Ensemble Learning Via Network Generation. - Zhongfan Zhang; Wenming Cao 002; Cheng Liu 001; Rui Li 045; Qianfen Jiao; Zhiwen Yu 002; C. L. Philip Chen; Hau-San Wong (ICME, 2021)

Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. - Mohamed Azzam; Si Wu 002; Yang Zhang 073; Aurele Tohokantche Gnanha; Hau-San Wong (IJCNN, 2021)

Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. - Guanyue Li; Yi Liu; Xiwen Wei; Yang Zhang 073; Si Wu 002; Yong Xu 007; Hau-San Wong (ACM Multimedia, 2021)

Behavior regularized prototypical networks for semi-supervised few-shot image classification. - Shixin Huang; Xiangping Zeng; Si Wu 002; Zhiwen Yu 002; Mohamed Azzam; Hau-San Wong (Pattern Recognit., 2021)

DDAT: Dual domain adaptive translation for low-resolution face verification in the wild. - Qianfen Jiao; Rui Li 045; Wenming Cao 002; Jian Zhong; Si Wu 002; Hau-San Wong (Pattern Recognit., 2021)

An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering. - Dan Dai; Juan Tang; Zhiwen Yu 002; Hau-San Wong; Jane You; Wenming Cao 002; Yang Hu; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. - Haohong Zhou; Mohamed Azzam; Jian Zhong; Cheng Liu 001; Si Wu 002; Hau-San Wong (IEEE Trans. Image Process., 2021)

KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. - Mohamed Azzam; Wenhao Wu; Wen-ming Cao 002; Si Wu 002; Hau-San Wong (IEEE Trans. Multim., 2021)

Fast and Effective Active Clustering Ensemble Based on Density Peak. - Yifan Shi; Zhiwen Yu 002; Wenming Cao 002; C. L. Philip Chen; Hau-San Wong; Guoqiang Han 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. - Wenhao Wu; Si Wu 002; Hau-San Wong (ACCV (2), 2022)

SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. - Tianyi Chen; Yunfei Zhang; Xiaoyang Huo; Si Wu 002; Yong Xu 007; Hau-San Wong (CVPR, 2022)

Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening. - Zhiri Tang; Qianfen Jiao; Jian Zhong; Si Wu 002; Hau-San Wong (ICME, 2022)

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. - Guanyue Li; Xiwen Wei; Si Wu 002; Zhiwen Yu 002; Sheng Qian; Hau-San Wong (IEEE Multim., 2022)

αβ-GAN: Robust generative adversarial networks. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (Inf. Sci., 2022)

Perturbation-insensitive cross-domain image enhancement for low-quality face verification. - Qianfen Jiao; Jian Zhong; Cheng Liu 001; Si Wu 002; Hau-San Wong (Inf. Sci., 2022)

Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios. - Wenhao Wu; Qianfen Jiao; Hau-San Wong; Gaozhe Li; Si Wu 002 (Knowl. Based Syst., 2022)

TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer. - Zhen Xu; Si Wu 002; Qianfen Jiao; Hau-San Wong (Knowl. Based Syst., 2022)

Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. - Wenming Cao 002; Zhongfan Zhang; Cheng Liu 001; Rui Li 045; Qianfen Jiao; Zhiwen Yu 002; Hau-San Wong (Pattern Recognit., 2022)

The residual generator: An improved divergence minimization framework for GAN. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (Pattern Recognit., 2022)

Attention regularized semi-supervised learning with class-ambiguous data for image classification. - Xiaoyang Huo; Xiangping Zeng; Si Wu 002; Hau-San Wong (Pattern Recognit., 2022)

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. - Cheng Liu 001; Wenming Cao 002; Si Wu 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Semisupervised Multiple Choice Learning for Ensemble Classification. - Jian Zhong; Xiangping Zeng; Wenming Cao 002; Si Wu 002; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Cybern., 2022)

Incremental Weighted Ensemble Broad Learning System for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Wenming Cao 002; Jane You; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2022)

GAN-Based Enhanced Deep Subspace Clustering Networks. - Zhiwen Yu 002; Zhongfan Zhang; Wenming Cao 002; Cheng Liu 001; C. L. Philip Chen; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2022)

Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. - Tianyi Chen; Si Wu 002; Xuhui Yang; Yong Xu 007; Hau-San Wong (IEEE Trans. Multim., 2022)

Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. - Sihao Lin; Wenhao Wu; Si Wu 002; Yong Xu 007; Hau-San Wong (IEEE Trans. Multim., 2022)

Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. - Cheng Liu 001; Wenming Cao 002; Si Wu 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. - Zhiwen Yu 002; Fengxu Ye; Kaixiang Yang; Wenming Cao 002; C. L. Philip Chen; Lianglun Cheng; Jane You; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Progressive Hybrid Classifier Ensemble for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Wenming Cao 002; Hau-San Wong; Jane You; Guoqiang Han 002 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. - Xiwen Wei; Zhen Xu; Cheng Liu 001; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (CVPR, 2023)

Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. - Wenhao Wu; Hau-San Wong; Si Wu 002 (CVPR, 2023)

Blemish-aware and Progressive Face Retouching with Limited Paired Data. - Lianxin Xie; Wen Xue; Zhen Xu; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (CVPR, 2023)

Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. - Yunfei Zhang; Xiaoyang Huo; Tianyi Chen; Si Wu 002; Hau-San Wong (CVPR, 2023)

Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. - Jian Zhong; Si Wu 002; Hau-San Wong (ICIP, 2023)

Discriminator feature-based progressive GAN inversion. - Quanpeng Song; Guanyue Li; Si Wu 002; Wenjun Shen; Hau-San Wong (Knowl. Based Syst., 2023)

Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. - Xiaoyang Huo; Xiangping Zeng; Si Wu 002; Wenjun Shen; Hau-San Wong (Pattern Recognit., 2023)

View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. - Cheng Liu 001; Si Wu 002; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Biomed. Eng., 2023)

Self-Supervised Graph Completion for Incomplete Multi-View Clustering. - Cheng Liu 001; Si Wu 002; Rui Li 045; Dazhi Jiang; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2023)

Collaborative learning-based unknown-class instance identification for open-set domain adaptation. - Jiaxin Li; Haohong Zhou; Si Wu 002; Cheng Liu 001; Hau-San Wong (Inf. Sci., 2023)

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. - Xue Wen; Lianxin Xie; Le Jiang; Tianyi Chen; Si Wu 002; Cheng Liu 001; Hau-San Wong (AAAI, 2024)

Relational Matching for Weakly Semi-Supervised Oriented Object Detection. - Wenhao Wu; Hau-San Wong; Si Wu 002; Tianyou Zhang (CVPR, 2024)

Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. - Lianxin Xie; Bingbing Zheng; Wen Xue; Le Jiang; Cheng Liu 001; Si Wu 002; Hau-San Wong (CVPR, 2024)

Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. - Feifan Xu; Rui Li 045; Si Wu 002; Yong Xu 007; Hau-San Wong (CVPR, 2024)

VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. - Wen Xue; Le Jiang; Lianxin Xie; Si Wu 002; Yong Xu 007; Hau-San Wong (CVPR, 2024)

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. - Dake Bu; Wei Huang 034; Taiji Suzuki; Ji Cheng 001; Qingfu Zhang 001; Zhiqiang Xu 003; Hau-San Wong (ICML, 2024)

SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. - Lu Lin; Wen Xue; Xindian Wei; Wenjun Shen; Cheng Liu 001; Si Wu 002; Hau-San Wong (IJCAI, 2024)

Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. - Le Jiang; Yan Huang 031; Lianxin Xie; Wen Xue; Cheng Liu 001; Si Wu 002; Hau-San Wong (ACM Multimedia, 2024)

Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. - Xibiao Wang; Hang Gao; Xindian Wei; Liang Peng; Rui Li 045; Cheng Liu 001; Si Wu 002; Hau-San Wong (ACM Multimedia, 2024)

Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. - Dake Bu; Wei Huang 034; Andi Han; Atsushi Nitanda; Taiji Suzuki; Qingfu Zhang 001; Hau-San Wong (NeurIPS, 2024)

SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. - Tianyi Chen; Xindian Wei; Lianxin Xie; Yunfei Zhang; Cheng Liu 001; Wenjun Shen; Si Wu 002; Hau-San Wong (Briefings Bioinform., 2024)

Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. - Jian Zhong; Qianfen Jiao; Si Wu 002; Cheng Liu 001; Hau-San Wong (Knowl. Based Syst., 2024)

Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer. - Zhiri Tang; Hau-San Wong; Zekuan Yu (IEEE Signal Process. Lett., 2024)

Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. - Wenhao Wu; Hau-San Wong; Si Wu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. - Quanpeng Song; Jiaxin Li; Si Wu 002; Hau-San Wong (IEEE Trans. Multim., 2024)

Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition. - Zhiri Tang; Hau-San Wong; Zekuan Yu (IEEE J. Biomed. Health Informatics, 2024)

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. - Cheng Liu 001; Rui Li 045; Si Wu 002; Hangjun Che; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. - Cheng Liu 001; Rui Li 045; Hangjun Che; Man-Fai Leung; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2024)

SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration. - Tianyi Chen; Yunfei Zhang; Lianxin Xie; Wenjun Shen; Si Wu 002; Hau-San Wong (AAAI, 2025)

Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration. - Lianxin Xie; Bingbing Zheng; Wen Xue; Yunfei Zhang; Le Jiang; Ruotao Xu; Si Wu 002; Hau-San Wong (AAAI, 2025)

RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. - Wen Xue; Chun Ding; Ruotao Xu; Si Wu 002; Yong Xu 007; Hau-San Wong (AAAI, 2025)

Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding. - Wenbo Chen; Zhen Xu; Ruotao Xu; Si Wu 002; Hau-San Wong (CVPR, 2025)

Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration. - Lianxin Xie; Bingbing Zheng; Si Wu 002; Hau-San Wong (CVPR, 2025)

Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis. - Rui Li 045; Tao Yang; Cheng Liu 001; Dazhi Jiang; Hau-San Wong; Si Wu 002 (ICASSP, 2025)

Cross-View Neighborhood Contrastive Multi-View Clustering with View Mixup Feature Learning. - Yixuan Ye; Yang Zhang 073; Liang Peng; Rui Li 045; Cheng Liu 001; Si Wu 002; Hau-San Wong (ICME, 2025)

Diverse Semantic Image Synthesis with various conditioning modalities. - Chaoyue Wu; Rui Li 045; Cheng Liu 001; Si Wu 002; Hau-San Wong (Knowl. Based Syst., 2025)

Class-conditional image synthesis with intra-class relation preservation. - Yunfei Zhang; Xiaoyang Huo; Tianyi Chen; Si Wu 002; Hau-San Wong (Knowl. Based Syst., 2025)

DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer. - Qianfen Jiao; Zhen Xu; Si Wu 002; Hau-San Wong (Pattern Recognit., 2025)

Image Quality Assessment: Exploring Joint Degradation Effect of Deep Network Features via Kernel Representation Similarity Analysis. - Xingran Liao; Xuekai Wei; Mingliang Zhou 001; Hau-San Wong; Sam Kwong (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. - Cheng Liu 001; Rui Li 045; Hangjun Che; Man-Fai Leung; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2025)

Provable In-Context Vector Arithmetic via Retrieving Task Concepts. - Dake Bu; Wei Huang 034; Andi Han; Atsushi Nitanda; Qingfu Zhang 001; Hau-San Wong; Taiji Suzuki (CoRR, 2025)