Hau-San Wong

According to our database, Hau-San Wong authored at least 233 papers between 1995 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer.

Qianfen Jiao, Zhen Xu, Si Wu, Hau-San Wong

Pattern Recognit., 2025

Diverse Semantic Image Synthesis with various conditioning modalities.

Chaoyue Wu, Rui Li, Cheng Liu, Si Wu, Hau-San Wong

Knowl. Based Syst., 2025

2024

Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering.

Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Knowl. Data Eng., December, 2024

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering.

Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., August, 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, June, 2024

A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing.

Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong

IEEE Trans. Multim., 2024

Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection.

Wenhao Wu, Hau-San Wong, Si Wu

IEEE Trans. Geosci. Remote. Sens., 2024

Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer.

Zhiri Tang, Hau-San Wong, Zekuan Yu

IEEE Signal Process. Lett., 2024

Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition.

Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong

Knowl. Based Syst., 2024

Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning.

Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong

CoRR, 2024

SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction.

Tianyi Chen, Xindian Wei, Lianxin Xie, Yunfei Zhang, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong

Briefings Bioinform., 2024

Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering.

Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data.

Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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, Si Wu, Hau-San Wong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples.

Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos.

Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis.

Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration.

Lianxin Xie, Csbingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Relational Matching for Weakly Semi-Supervised Oriented Object Detection.

Wenhao Wu, Hau-San Wong, Si Wu, Tianyou Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.

Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Collaborative learning-based unknown-class instance identification for open-set domain adaptation.

Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong

Inf. Sci., December, 2023

Self-Supervised Graph Completion for Incomplete Multi-View Clustering.

Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong

IEEE Trans. Knowl. Data Eng., September, 2023

View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification.

Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Biomed. Eng., 2023

Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification.

Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong

Pattern Recognit., 2023

Discriminator feature-based progressive GAN inversion.

Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong

Knowl. Based Syst., 2023

Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data.

Jian Zhong, Si Wu, Hau-San Wong

Proceedings of the IEEE International Conference on Image Processing, 2023

Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis.

Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Blemish-aware and Progressive Face Retouching with Limited Paired Data.

Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus.

Wenhao Wu, Hau-San Wong, Si Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation.

Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Progressive Hybrid Classifier Ensemble for Imbalanced Data.

Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Hau-San Wong, Jane You, Guoqiang Han

IEEE Trans. Syst. Man Cybern. Syst., 2022

Semisupervised Classification With Novel Graph Construction for High-Dimensional Data.

Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

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

Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

GAN-Based Enhanced Deep Subspace Clustering Networks.

Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong

IEEE Trans. Knowl. Data Eng., 2022

Incremental Weighted Ensemble Broad Learning System for Imbalanced Data.

Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Jane You, Hau-San Wong

IEEE Trans. Knowl. Data Eng., 2022

Semisupervised Multiple Choice Learning for Ensemble Classification.

Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Cybern., 2022

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.

Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Attention regularized semi-supervised learning with class-ambiguous data for image classification.

Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong

Pattern Recognit., 2022

The residual generator: An improved divergence minimization framework for GAN.

Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li

Pattern Recognit., 2022

Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.

Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong

Pattern Recognit., 2022

TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer.

Zhen Xu, Si Wu, Qianfen Jiao, Hau-San Wong

Knowl. Based Syst., 2022

Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios.

Wenhao Wu, Qianfen Jiao, Hau-San Wong, Gaozhe Li, Si Wu

Knowl. Based Syst., 2022

Perturbation-insensitive cross-domain image enhancement for low-quality face verification.

Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong

Inf. Sci., 2022

αβ-GAN: Robust generative adversarial networks.

Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li

Inf. Sci., 2022

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning.

Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong

IEEE Multim., 2022

Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening.

Zhiri Tang, Qianfen Jiao, Jian Zhong, Si Wu, Hau-San Wong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis.

Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection.

Wenhao Wu, Si Wu, Hau-San Wong

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Fast and Effective Active Clustering Ensemble Based on Density Peak.

Yifan Shi, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Guoqiang Han

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Mohamed Azzam, Wenhao Wu, Wen-ming Cao, Si Wu, Hau-San Wong

IEEE Trans. Multim., 2021

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

Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong

IEEE Trans. Image Process., 2021

An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering.

Dan Dai, Juan Tang, Zhiwen Yu, Hau-San Wong, Jane You, Wenming Cao, Yang Hu, C. L. Philip Chen

IEEE Trans. Cybern., 2021

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

Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong

Pattern Recognit., 2021

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

Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong

Pattern Recognit., 2021

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

Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adversarially Smoothed Feature Alignment for Visual Domain Adaptation.

Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Ensemble Learning Via Network Generation.

Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

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

Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy.

Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation.

Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition.

Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hybrid Classifier Ensemble for Imbalanced Data.

Kaixiang Yang, Zhiwen Yu, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration.

Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation.

Rui Li, Wenming Cao, Si Wu, Hau-San Wong

IEEE Trans. Image Process., 2020

Transfer Clustering Ensemble Selection.

Yifan Shi, Zhiwen Yu, C. L. Philip Chen, Jane You, Hau-San Wong, Yide Wang, Jun Zhang

IEEE Trans. Cybern., 2020

Multitask Feature Selection by Graph-Clustered Feature Sharing.

Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Cybern., 2020

Simplified unsupervised image translation for semantic segmentation adaptation.

Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong

Pattern Recognit., 2020

Joint subspace and discriminative learning for self-paced domain adaptation.

Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

Knowl. Based Syst., 2020

Adaptive Regularized Semi-Supervised Clustering Ensemble.

Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen

IEEE Access, 2020

Adversarially Constrained Interpolation for Unsupervised Domain Adaptation.

Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning.

Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Model Adaptation: Unsupervised Domain Adaptation Without Source Data.

Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2019

Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification.

Zhiwen Yu, Yidong Zhang, Jane You, C. L. Philip Chen, Hau-San Wong, Guoqiang Han, Jun Zhang

IEEE Trans. Cybern., 2019

Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification.

Zhiwen Yu, Daxing Wang, Zhuoxiong Zhao, C. L. Philip Chen, Jane You, Hau-San Wong, Jun Zhang

IEEE Trans. Cybern., 2019

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

Yong Du, Guoqiang Han, Yuhui Quan, Zhiwen Yu, Hau-San Wong, C. L. Philip Chen, Jun Zhang

IEEE Trans. Cybern., 2019

Multiobjective Semisupervised Classifier Ensemble.

Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang

IEEE Trans. Cybern., 2019

Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis.

Cheng Liu, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

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

Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong

Pattern Recognit., 2019

Unsupervised Multi-task Learning with Hierarchical Data Structure.

Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong

Pattern Recognit., 2019

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

Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang

Knowl. Based Syst., 2019

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations.

Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Bo Yang, Qilin Mu, Hairui Zou, Yancheng Zeng, Hau-San Wong, Zesong Li, Peng Wang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement.

Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification.

Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks.

Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu

IEEE Trans. Multim., 2018

Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection.

Zhiwen Yu, Peinan Luo, Jiming Liu, Hau-San Wong, Jane You, Guoqiang Han, Jun Zhang

IEEE Trans. Knowl. Data Eng., 2018

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

Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu

IEEE Trans. Image Process., 2018

Progressive Semisupervised Learning of Multiple Classifiers.

Zhiwen Yu, Ye Lu, Jun Zhang, Jane You, Hau-San Wong, Yide Wang, Guoqiang Han

IEEE Trans. Cybern., 2018

Clustering by Local Gravitation.

Zhiqiang Wang, Zhiwen Yu, C. L. Philip Chen, Jane You, Tianlong Gu, Hau-San Wong, Jun Zhang

IEEE Trans. Cybern., 2018

Variant SemiBoost for Improving Human Detection in Application Scenes.

Si Wu, Hau-San Wong, Shufeng Wang

IEEE Trans. Circuits Syst. Video Technol., 2018

Corpus-based topic diffusion for short text clustering.

Chutao Zheng, Cheng Liu, Hau-San Wong

Neurocomputing, 2018

Adaptive activation functions in convolutional neural networks.

Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong

Neurocomputing, 2018

Coupled Learning for Image Generation and Latent Representation Inference Using MMD.

Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Self-supervised GAN for Image Generation by Correlating Image Channels.

Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks.

Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Efficient Direct Structured Subspace Clustering.

Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Adaptive Ensembling of Semi-Supervised Clustering Solutions.

Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han

IEEE Trans. Knowl. Data Eng., 2017

Distribution-Based Cluster Structure Selection.

Zhiwen Yu, Xianjun Zhu, Hau-San Wong, Jane You, Jun Zhang, Guoqiang Han

IEEE Trans. Cybern., 2017

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

Zhiwen Yu, Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, Guoqiang Han

IEEE Trans. Cybern., 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

Locality-Sensitive Term Weighting for Short Text Clustering.

Chutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Learning with Partially Shared Features for Multi-Task Learning.

Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering.

Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han

IEEE Trans. Knowl. Data Eng., 2016

A Comparison Study for DNA Motif Modeling on Protein Binding Microarray.

Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Progressive subspace ensemble learning.

Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han

Pattern Recognit., 2016

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

Yanmei Hu, Bo Yang, Hau-San Wong

Inf. Sci., 2016

Robust Epileptic Seizure Classification.

Farrikh Alzami, Daxing Wang, Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han

Proceedings of the Intelligent Computing Theories and Application, 2016

2015

Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.

Zhiwen Yu, Hantao Chen, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han, Le Li

IEEE ACM Trans. Comput. Biol. Bioinform., 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

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

Iterative Term Weighting for Short Text Data.

Chutao Zheng, Cheng Liu, Hau-San Wong

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

A Bayesian Model for Crowd Escape Behavior Detection.

Si Wu, Hau-San Wong, Zhiwen Yu

IEEE Trans. Circuits Syst. Video Technol., 2014

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

Zhiwen Yu, Hongsheng Chen, Jane You, Hau-San Wong, Jiming Liu, Le Li, Guoqiang Han

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Hybrid clustering solution selection strategy.

Zhiwen Yu, Le Li, Yunjun Gao, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han

Pattern Recognit., 2014

Probabilistic cluster structure ensemble.

Zhiwen Yu, Le Li, Hau-San Wong, Jane You, Guoqiang Han, Yunjun Gao, Guo-Xian Yu

Inf. Sci., 2014

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

Ying Shen, Shaohong Zhang, Hau-San Wong, Lin Zhang

Int. J. Data Min. Bioinform., 2014

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

Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale

Found. Comput. Math., 2014

Semi-supervised clustering with pairwise and size constraints.

Shaohong Zhang, Hau-San Wong, Dongqing Xie

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

AORS: Affinity-based outlier ranking score.

Shaohong Zhang, Hau-San Wong, Wen-Jun Shen, Dongqing Xie

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

Le Li, Zhiwen Yu, Jiming Liu, Jane You, Hau-San Wong, Guoqiang Han

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012

Crowd Motion Partitioning in a Scattered Motion Field.

Si Wu, Hau-San Wong

IEEE Trans. Syst. Man Cybern. Part B, 2012

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

Shaohong Zhang, Hau-San Wong, Ying Shen, Dongqing Xie

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

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

Zhiwen Yu, Le Li, Jane You, Hau-San Wong, Guoqiang Han

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Generalized Adjusted Rand Indices for cluster ensembles.

Shaohong Zhang, Hau-San Wong, Ying Shen

Pattern Recognit., 2012

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

Zhiwen Yu, Hau-San Wong, Jane You, Guo-Xian Yu, Guoqiang Han

Pattern Recognit., 2012

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

Si Wu, Hau-San Wong

Pattern Recognit., 2012

From cluster ensemble to structure ensemble.

Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han

Inf. Sci., 2012

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

Zhiwen Yu, Hau-San Wong, Jane You, Guoqiang Han

Inf. Sci., 2012

A fuzzy minimax clustering model and its applications.

Xiang Li, Hau-San Wong, Si Wu

Inf. Sci., 2012

Towards a Mathematical Foundation of Immunology and Amino Acid Chains

Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale

CoRR, 2012

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

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems.

Zhiwen Yu, Hau-San Wong, Dingwen Wang, Ming Wei

IEEE Trans. Evol. Comput., 2011

A modified support vector machine and its application to image segmentation.

Zhiwen Yu, Hau-San Wong, Guihua Wen

Image Vis. Comput., 2011

Feature-based 3D motif filtering for ribosomal RNA.

Ying Shen, Hau-San Wong, Shaohong Zhang, Zhiwen Yu

Bioinform., 2011

2010

Hybrid Associative Retrieval of Three-Dimensional Models.

Shaohong Zhang, Hau-San Wong, Zhiwen Yu, Horace Ho-Shing Ip

IEEE Trans. Syst. Man Cybern. Part B, 2010

Quantization-based clustering algorithm.

Zhiwen Yu, Hau-San Wong

Pattern Recognit., 2010

Credibilistic Satisfiability and Credibilistic Entailment.

Xiang Li, Hau-San Wong

J. Multiple Valued Log. Soft Comput., 2010

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

Zhiwen Yu, Hau-San Wong, Hong Peng, Qian-Li Ma

Comput. Aided Des., 2010

ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles.

Shaohong Zhang, Hau-San Wong

Proceedings of the 20th International Conference on Pattern Recognition, 2010

A new method for measuring the semantic similarity on gene ontology.

Ying Shen, Shaohong Zhang, Hau-San Wong

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns.

Xiang Li, Yang Zhang, Hau-San Wong, Zhongfeng Qin

J. Comput. Appl. Math., 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

Logic optimality for multi-objective optimization.

Xiang Li, Hau-San Wong

Appl. Math. Comput., 2009

Active constrained clustering with multiple cluster representatives.

Shaohong Zhang, Hau-San Wong

Proceedings of the IEEE International Conference on Systems, 2009

Crowd Flow Segmentation Using a Novel Region Growing Scheme.

Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing, 2009

Fuzzy multi-objective portfolio selection model with transaction costs.

Yang Zhang, Xiang Li, Hau-San Wong, Lirong Tan

Proceedings of the FUZZ-IEEE 2009, 2009

A Shape Derivative Based Approach for Crowd Flow Segmentation.

Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the Computer Vision, 2009

2008

Human Computer Interaction.

Hau-San Wong, Horace H. S. Ip

Proceedings of the Encyclopedia of Multimedia, 2nd Ed., 2008

3D head model retrieval in kernel feature space using HSOM.

Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip

Pattern Recognit., 2008

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

Hau-San Wong, Hong-Qiang Wang

J. Biomed. Informatics, 2008

Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images.

Hong-Qiang Wang, Hau-San Wong, Hailong Zhu

Proceedings of the Medical Biometrics, First International Conference, 2008

Pattern mining based on local distribution.

Zhiwen Yu, Xing Wang, Hau-San Wong, Zhongkai Deng

Proceedings of the International Joint Conference on Neural Networks, 2008

Ensemble based 3D human motion classification.

Zhiwen Yu, Xing Wang, Hau-San Wong

Proceedings of the International Joint Conference on Neural Networks, 2008

Knowledge based Cluster Ensemble.

Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang

Proceedings of the International Joint Conference on Neural Networks, 2008

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

Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang

Proceedings of the International Joint Conference on Neural Networks, 2008

Partial closure-based constrained clustering with order ranking.

Shaohong Zhang, Hau-San Wong

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Knowledge based cluster ensemble for 3D head model classification.

Zhiwen Yu, Hau-San Wong

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Identification of phosphorylation sites using a hybrid classifier ensemble approach.

Zhiwen Yu, Zhongkai Deng, Hau-San Wong

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Image classification based on the bagging-adaboost ensemble.

Zhiwen Yu, Hau-San Wong

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Searching of motion database based on hierarchical SOM.

Xing Wang, Zhiwen Yu, Hau-San Wong

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

3D motion sequence retrieval based on data distribution.

Xing Wang, Zhiwen Yu, Hau-San Wong

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Nearest neighbor evolutionary algorithm for constrained optimization problem.

Zhiwen Yu, Dingwen Wang, Hau-San Wong

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Knowledge learning based evolutionary algorithm for unconstrained optimization problem.

Zhiwen Yu, Dingwen Wang, Hau-San Wong

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites.

Zhiwen Yu, Zhongkai Deng, Hau-San Wong

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007

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

Zhiwen Yu, Hau-San Wong

IEEE Trans. Multim., 2007

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

Hau-San Wong, Bo Ma, Zhiwen Yu, Pui Fong Yeung, Horace Ho-Shing Ip

IEEE Trans. Multim., 2007

Extracting gene regulation information for cancer classification.

Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu

Pattern Recognit., 2007

Kernel clustering-based discriminant analysis.

Bo Ma, Hui-yang Qu, Hau-San Wong

Pattern Recognit., 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

Face and palmprint feature level fusion for single sample biometrics recognition.

Yong-Fang Yao, Xiao-Yuan Jing, Hau-San Wong

Neurocomputing, 2007

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

Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang

Bioinform., 2007

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

Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li

Proceedings of the Advances in Visual Information Systems, 9th International Conference, 2007

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

Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li

Proceedings of the Advances in Multimedia Information Processing, 2007

3D Head Model Classification based on Cluster Ensemble.

Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

3D Head Model Classification based on Bayesian classifer.

Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

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

Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Image Segmentation Based on Cluster Ensemble.

Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang

Proceedings of the Advances in Neural Networks, 2007

Prediction of Long-range Contacts from Sequence Profile.

Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2007

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

Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong

Proceedings of the Third International Conference on Natural Computation, 2007

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

Zhiwen Yu, Hau-San Wong, Jiqi Zhang

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Fast Gaussian Mixture Clustering for Skin Detection.

Zhiwen Yu, Hau-San Wong

Proceedings of the International Conference on Image Processing, 2007

3D model representation using adaptive volumetric extended Gaussian image.

Jiqi Zhang, Dingwen Wang, Hau-San Wong

Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2006

Human Computer Interaction.

Hau-San Wong, Horace Ho-Shing Ip

Proceedings of the Encyclopedia of Multimedia, 2006

Face recognition based on discriminant fractional Fourier feature extraction.

Xiao-Yuan Jing, Hau-San Wong, David Zhang

Pattern Recognit. Lett., 2006

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

Bo Ma, Hau-San Wong

Pattern Recognit., 2006

Face recognition based on 2D Fisherface approach.

Xiao-Yuan Jing, Hau-San Wong, David Zhang

Pattern Recognit., 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

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

Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE International Conference on Systems, 2006

3D Head Model Classification Using KCDA.

Bo Ma, Hui-yang Qu, Hau-San Wong, Yao Lu

Proceedings of the Advances in Multimedia Information Processing, 2006

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

Jiqi Zhang, Hau-San Wong, Zhiwen Yu

Proceedings of the 14th ACM International Conference on Multimedia, 2006

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

Zhiwen Yu, Hau-San Wong

Proceedings of the International Joint Conference on Neural Networks, 2006

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

Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2006

Long-Range Interaction Analysis using Principal Component Analysis.

Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2006

Mining Uncertain Data in Low-dimensional Subspace.

Zhiwen Yu, Hau-San Wong

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

Zhiwen Yu, Hau-San Wong

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

Zhiwen Yu, Hau-San Wong

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Evolutionary Optimization of Feature Representation for 3D Point-based.

Xin Tong, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

Zhiwen Yu, Hau-San Wong

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

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

Zhiwen Yu, Hau-San Wong

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

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

Zhiwen Yu, Hau-San Wong

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Learning Graphical Model for Human Motion Characterization Using Genetic Optimization.

Hui-yang Qu, Hau-San Wong, Bo Ma

Proceedings of the Ninth International Conference on Control, 2006

Labeling of Human Motion by Constraint-Based Genetic Algorithm.

Fuyuan Hu, Hau-San Wong, Zhi Qiang Liu, Hui-yang Qu

Proceedings of the Computational Intelligence and Security, International Conference, 2006

3D head model classification using optimized EGI.

Xin Tong, Hau-San Wong, Bo Ma

Proceedings of the Conference on Three-Dimensional Image Capture and Applications VII, 2006

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

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

An uncorrelated fisherface approach.

Xiao-Yuan Jing, Hau-San Wong, David Zhang, Yuan Yan Tang

Neurocomputing, 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

Relevance Vector Machine for Content-Based Retrieval of 3D Head Models.

Pui Fong Yeung, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip

Proceedings of the 9th International Conference on Information Visualisation, 2005

Hierarchical Indexing for 3D Head Model Retrieval Based on Kernel PCA.

Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip

Proceedings of the 9th International Conference on Information Visualisation, 2005

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

Apple W. P. Fok, Hau-San Wong, Y. S. Chen

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

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

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

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

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 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

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Compressed domain feature transformation using evolutionary strategies for image classification.

Chun-Ip Chia, Hau-San Wong, Horace Ho-Shing Ip

Proceedings of the 2004 International Conference on Image Processing, 2004

2003

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

Ronald Chung, Hau-San Wong

Int. J. Comput. Vis., 2003

An evolutionary optimization approach for 3D human head model classification.

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

Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

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

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

Min Wu, Robert A. Joyce, Hau-San Wong, Ling Guan, Sun-Yuan Kung

IEEE Trans. Multim., 2001

2000

Application of evolutionary programming to adaptive regularization in image restoration.

Hau-San Wong, Ling Guan

IEEE Trans. Evol. Comput., 2000

A model-based neural network for edge characterization.

Hau-San Wong, Terry Caelli, Ling Guan

Pattern Recognit., 2000

Characterization of Perceptual Importance for Object-Based Image Segmentation.

Hau-San Wong, Ling Guan

Proceedings of the 2000 International Conference on Image Processing, 2000

1999

A Fuzzy Model-Based Neural Network for Adaptive Regularization in Image Restoration.

Hau-San Wong, Ling Guan

Proceedings of the 1999 International Conference on Image Processing, 1999

Edge characterization using a model-based neural network.

Hau-San Wong, Terry Caelli, Ling Guan

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Adaptive regularization in image restoration by unsupervised learning.

Hau-San Wong, Ling Guan

J. Electronic Imaging, 1998

Neural vision system and applications in image processing and analysis.

Ling Guan, Stuart W. Perry, Raniero Romagnoli, Hau-San Wong, Haosong Kong

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1995

Compression of digital mammogram databases using a near-lossless scheme.

Hau-San Wong, L. Guan, H. Hong

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995