Hau-San Wong - RankMe

263 papers A* 35A 13B 30C 4Misc 3Journal 143Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification. AAAI Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2026	J	`jnl`	SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering. IEEE Trans. Circuits Syst. Video Technol. Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2026	J	`jnl`	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2025	J	`jnl`	Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2025	J	`jnl`	COME: contrastive mapping learning for spatial reconstruction of single-cell RNA sequencing data. Bioinform. Xindian Wei, Tianyi Chen, Xibiao Wang, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong
2025	J	`jnl`	Class-conditional image synthesis with intra-class relation preservation. Knowl. Based Syst. Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong
2025	J	`jnl`	Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Bo Xue, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
2025	A	`conf`	Cross-View Neighborhood Contrastive Multi-View Clustering with View Mixup Feature Learning. ICME Yixuan Ye, Yang Zhang, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2025	J	`jnl`	DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer. Pattern Recognit. Qianfen Jiao, Zhen Xu, Si Wu, Hau-San Wong
2025	A*	`conf`	Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration. AAAI Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong
2025	J	`jnl`	Discrete Prior-based Temporal-coherent Content Prediction for Blind Face Video Restoration. CoRR Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong
2025	J	`jnl`	Diverse Semantic Image Synthesis with various conditioning modalities. Knowl. Based Syst. Chaoyue Wu, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2025	A*	`conf`	Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration. CVPR Lianxin Xie, Bingbing Zheng, Si Wu, Hau-San Wong
2025	J	`jnl`	EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. IEEE Trans. Neural Networks Learn. Syst. Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2025	J	`jnl`	Image Quality Assessment: Exploring Joint Degradation Effect of Deep Network Features via Kernel Representation Similarity Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Xingran Liao, Xuekai Wei, Mingliang Zhou, Hau-San Wong, Sam Kwong
2025	J	`jnl`	Model Adaptation: Unsupervised Domain Adaptation without Source Data. CoRR Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2025	Misc	`conf`	Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis. ICASSP Rui Li, Tao Yang, Cheng Liu, Dazhi Jiang, Hau-San Wong, Si Wu
2025	J	`jnl`	Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Hau-San Wong, Qingfu Zhang, Taiji Suzuki
2025	A*	`conf`	Provable In-Context Vector Arithmetic via Retrieving Task Concepts. ICML Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
2025	J	`jnl`	Provable In-Context Vector Arithmetic via Retrieving Task Concepts. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
2025	J	`jnl`	Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification. CoRR Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2025	A*	`conf`	RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. AAAI Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong
2025	J	`jnl`	Robust subspace structure discovery for cell type identification in scRNA-seq data. BMC Bioinform. Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong
2025	J	`jnl`	SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering. CoRR Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2025	A*	`conf`	SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration. AAAI Tianyi Chen, Yunfei Zhang, Lianxin Xie, Wenjun Shen, Si Wu, Hau-San Wong
2025	A*	`conf`	Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding. CVPR Wenbo Chen, Zhen Xu, Ruotao Xu, Si Wu, Hau-San Wong
2025	J	`jnl`	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. CoRR Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2024	J	`jnl`	A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. IEEE Trans. Multim. Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong
2024	J	`jnl`	Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. Knowl. Based Syst. Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong
2024	A*	`conf`	Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. ACM Multimedia Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2024	A*	`conf`	Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. ACM Multimedia Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong
2024	J	`jnl`	Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2024	A*	`conf`	Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. CVPR Lianxin Xie, Bingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong
2024	J	`jnl`	Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer. IEEE Signal Process. Lett. Zhiri Tang, Hau-San Wong, Zekuan Yu
2024	J	`jnl`	Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition. IEEE J. Biomed. Health Informatics Zhiri Tang, Hau-San Wong, Zekuan Yu
2024	A*	`conf`	Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. ICML Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
2024	J	`jnl`	Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. CoRR Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
2024	A*	`conf`	Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. NeurIPS Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
2024	J	`jnl`	Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. CoRR Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
2024	J	`jnl`	Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. Wenhao Wu, Hau-San Wong, Si Wu
2024	A*	`conf`	Relational Matching for Weakly Semi-Supervised Oriented Object Detection. CVPR Wenhao Wu, Hau-San Wong, Si Wu, Tianyou Zhang
2024	A*	`conf`	RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. AAAI Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong
2024	A*	`conf`	SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. IJCAI Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong
2024	J	`jnl`	SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. Briefings Bioinform. Tianyi Chen, Xindian Wei, Lianxin Xie, Yunfei Zhang, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2024	J	`jnl`	Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2024	A*	`conf`	Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. CVPR FeiFan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong
2024	A*	`conf`	VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. CVPR Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong
2023	A*	`conf`	Blemish-aware and Progressive Face Retouching with Limited Paired Data. CVPR Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong
2023	J	`jnl`	Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. Pattern Recognit. Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong
2023	J	`jnl`	Collaborative learning-based unknown-class instance identification for open-set domain adaptation. Inf. Sci. Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong
2023	J	`jnl`	Discriminator feature-based progressive GAN inversion. Knowl. Based Syst. Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong
2023	A*	`conf`	Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. CVPR Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong
2023	J	`jnl`	Self-Supervised Graph Completion for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong
2023	A*	`conf`	Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. CVPR Wenhao Wu, Hau-San Wong, Si Wu
2023	A*	`conf`	Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. CVPR Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong
2023	B	`conf`	Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. ICIP Jian Zhong, Si Wu, Hau-San Wong
2023	J	`jnl`	View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. IEEE Trans. Biomed. Eng. Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. IEEE Multim. Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong
2022	J	`jnl`	Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	Attention regularized semi-supervised learning with class-ambiguous data for image classification. Pattern Recognit. Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong
2022	J	`jnl`	GAN-Based Enhanced Deep Subspace Clustering Networks. IEEE Trans. Knowl. Data Eng. Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong
2022	J	`jnl`	Incremental Weighted Ensemble Broad Learning System for Imbalanced Data. IEEE Trans. Knowl. Data Eng. Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Jane You, Hau-San Wong
2022	J	`jnl`	Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios. Knowl. Based Syst. Wenhao Wu, Qianfen Jiao, Hau-San Wong, Gaozhe Li, Si Wu
2022	J	`jnl`	Perturbation-insensitive cross-domain image enhancement for low-quality face verification. Inf. Sci. Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
2022	J	`jnl`	Progressive Hybrid Classifier Ensemble for Imbalanced Data. IEEE Trans. Syst. Man Cybern. Syst. Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Hau-San Wong, Jane You, Guoqiang Han
2022	J	`jnl`	Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong
2022	J	`jnl`	Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong
2022	J	`jnl`	Semisupervised Multiple Choice Learning for Ensemble Classification. IEEE Trans. Cybern. Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2022	A	`conf`	Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening. ICME Zhiri Tang, Qianfen Jiao, Jian Zhong, Si Wu, Hau-San Wong
2022	A*	`conf`	SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong
2022	J	`jnl`	Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer. Knowl. Based Syst. Zhen Xu, Si Wu, Qianfen Jiao, Hau-San Wong
2022	J	`jnl`	The residual generator: An improved divergence minimization framework for GAN. Pattern Recognit. Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2022	—	`conf`	Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. ACCV (2) Wenhao Wu, Si Wu, Hau-San Wong
2022	J	`jnl`	Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong
2022	J	`jnl`	Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. Pattern Recognit. Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	αβ-GAN: Robust generative adversarial networks. Inf. Sci. Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2021	A	`conf`	Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders. ICME Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong
2021	B	`conf`	Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong
2021	J	`jnl`	An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering. IEEE Trans. Cybern. Dan Dai, Juan Tang, Zhiwen Yu, Hau-San Wong, Jane You, Wenming Cao, Yang Hu, C. L. Philip Chen
2021	J	`jnl`	Behavior regularized prototypical networks for semi-supervised few-shot image classification. Pattern Recognit. Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong
2021	J	`jnl`	DDAT: Dual domain adaptive translation for low-resolution face verification in the wild. Pattern Recognit. Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong
2021	A*	`conf`	Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong
2021	J	`jnl`	Fast and Effective Active Clustering Ensemble Based on Density Peak. IEEE Trans. Neural Networks Learn. Syst. Yifan Shi, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Guoqiang Han
2021	A*	`conf`	High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong
2021	J	`jnl`	KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. IEEE Trans. Multim. Mohamed Azzam, Wenhao Wu, Wen-ming Cao, Si Wu, Hau-San Wong
2021	J	`jnl`	Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. IEEE Trans. Image Process. Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
2021	A*	`conf`	Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. CVPR Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
2021	A*	`conf`	Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong
2021	A	`conf`	Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. ICME Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong
2021	A	`conf`	Unsupervised Ensemble Learning Via Network Generation. ICME Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong
2020	J	`jnl`	Adaptive Regularized Semi-Supervised Clustering Ensemble. IEEE Access Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
2020	B	`conf`	Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. ICPR Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu
2020	J	`jnl`	Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Trans. Image Process. Rui Li, Wenming Cao, Si Wu, Hau-San Wong
2020	J	`jnl`	Hybrid Classifier Ensemble for Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. Kaixiang Yang, Zhiwen Yu, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You
2020	J	`jnl`	Joint subspace and discriminative learning for self-paced domain adaptation. Knowl. Based Syst. Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2020	A*	`conf`	Model Adaptation: Unsupervised Domain Adaptation Without Source Data. CVPR Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2020	J	`jnl`	Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong
2020	A*	`conf`	Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. CVPR Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
2020	J	`jnl`	Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. IEEE Trans. Image Process. Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2020	J	`jnl`	Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. IEEE Trans. Image Process. Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong
2020	J	`jnl`	Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognit. Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong
2020	J	`jnl`	Transfer Clustering Ensemble Selection. IEEE Trans. Cybern. Yifan Shi, Zhiwen Yu, C. L. Philip Chen, Jane You, Hau-San Wong, Yide Wang, Jun Zhang
2019	—	`conf`	A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors. ICONIP (4) Bo Yang, Qilin Mu, Hairui Zou, Yancheng Zeng, Hau-San Wong, Zesong Li, Peng Wang
2019	J	`jnl`	Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification. IEEE Trans. Cybern. Zhiwen Yu, Yidong Zhang, Jane You, C. L. Philip Chen, Hau-San Wong, Guoqiang Han, Jun Zhang
2019	J	`jnl`	Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm. Knowl. Based Syst. Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang
2019	J	`jnl`	Encoding sparse and competitive structures among tasks in multi-task learning. Pattern Recognit. Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong
2019	A*	`conf`	Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. CVPR Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong
2019	J	`jnl`	Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion. IEEE Trans. Cybern. Yong Du, Guoqiang Han, Yuhui Quan, Zhiwen Yu, Hau-San Wong, C. L. Philip Chen, Jun Zhang
2019	J	`jnl`	Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering. IEEE Trans. Neural Networks Learn. Syst. Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong
2019	J	`jnl`	Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification. IEEE Trans. Cybern. Zhiwen Yu, Daxing Wang, Zhuoxiong Zhao, C. L. Philip Chen, Jane You, Hau-San Wong, Jun Zhang
2019	A*	`conf`	Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. AAAI Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong
2019	A*	`conf`	Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI Sheng Qian, Guanyue Li, Wen-ming Cao, Cheng Liu, Si Wu, Hau-San Wong
2019	J	`jnl`	Multiobjective Semisupervised Classifier Ensemble. IEEE Trans. Cybern. Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang
2019	A*	`conf`	Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. CVPR Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong
2019	A*	`conf`	Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong
2019	J	`jnl`	Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Liu, Hau-San Wong
2019	J	`jnl`	Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong
2018	J	`jnl`	Adaptive activation functions in convolutional neural networks. Neurocomputing Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong
2018	J	`jnl`	Clustering by Local Gravitation. IEEE Trans. Cybern. Zhiqiang Wang, Zhiwen Yu, C. L. Philip Chen, Jane You, Tianlong Gu, Hau-San Wong, Jun Zhang
2018	J	`jnl`	Corpus-based topic diffusion for short text clustering. Neurocomputing Chutao Zheng, Cheng Liu, Hau-San Wong
2018	—	`conf`	Coupled Learning for Image Generation and Latent Representation Inference Using MMD. PCM (2) Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
2018	B	`conf`	Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu
2018	—	`conf`	Efficient Direct Structured Subspace Clustering. ICONIP (4) Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong
2018	J	`jnl`	Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
2018	J	`jnl`	Progressive Semisupervised Learning of Multiple Classifiers. IEEE Trans. Cybern. Zhiwen Yu, Ye Lu, Jun Zhang, Jane You, Hau-San Wong, Yide Wang, Guoqiang Han
2018	—	`conf`	Self-supervised GAN for Image Generation by Correlating Image Channels. PCM (2) Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
2018	J	`jnl`	Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection. IEEE Trans. Knowl. Data Eng. Zhiwen Yu, Peinan Luo, Jiming Liu, Hau-San Wong, Jane You, Guoqiang Han, Jun Zhang
2018	J	`jnl`	Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu
2018	J	`jnl`	Variant SemiBoost for Improving Human Detection in Application Scenes. IEEE Trans. Circuits Syst. Video Technol. Si Wu, Hau-San Wong, Shufeng Wang
2017	J	`jnl`	A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets. IEEE Trans. Cybern. Zhiwen Yu, Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, Guoqiang Han
2017	J	`jnl`	Adaptive Ensembling of Semi-Supervised Clustering Solutions. IEEE Trans. Knowl. Data Eng. Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han
2017	J	`jnl`	Distribution-Based Cluster Structure Selection. IEEE Trans. Cybern. Zhiwen Yu, Xianjun Zhu, Hau-San Wong, Jane You, Jun Zhang, Guoqiang Han
2017	J	`jnl`	Generalized Pair-Counting Similarity Measures for Clustering and Cluster Ensembles. IEEE Access Shaohong Zhang, Zongbao Yang, Xiaofei Xing, Ying Gao, Dongqing Xie, Hau-San Wong
2017	—	`conf`	Learning with Partially Shared Features for Multi-Task Learning. ICONIP (5) Cheng Liu, Wen-ming Cao, Chutao Zheng, Hau-San Wong
2017	—	`conf`	Locality-Sensitive Term Weighting for Short Text Clustering. ICONIP (1) Chutao Zheng, Sheng Qian, Wen-ming Cao, Hau-San Wong
2016	J	`jnl`	A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong
2016	J	`jnl`	A weighted local view method based on observation over ground truth for community detection. Inf. Sci. Yanmei Hu, Bo Yang, Hau-San Wong
2016	J	`jnl`	Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering. IEEE Trans. Knowl. Data Eng. Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han
2016	A*	`conf`	Incremental semi-supervised clustering ensemble for high dimensional data clustering. ICDE Zhiwen Yu, Peinan Luo, Si Wu, Guoqiang Han, Jane You, Hareton Leung, Hau-San Wong, Jun Zhang
2016	J	`jnl`	Progressive subspace ensemble learning. Pattern Recognit. Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han
2016	—	`conf`	Robust Epileptic Seizure Classification. ICIC (2) Farrikh Alzami, Daxing Wang, Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han
2015	J	`jnl`	Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data. IEEE ACM Trans. Comput. Biol. Bioinform. Zhiwen Yu, Hantao Chen, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han, Le Li
2015	J	`jnl`	An adaptive approach for texture enhancement based on a fractional differential operator with non-integer step and order. Neurocomputing Fuyuan Hu, Shaohui Si, Hau-San Wong, Baochuan Fu, Maoxin Si, Heng Luo
2015	J	`jnl`	Gene set enrichment ensemble using fold change data only. J. Biomed. Informatics Hai Huang, Shaohong Zhang, Wen-Jun Shen, Hau-San Wong, Dongqing Xie
2015	B	`conf`	Iterative Term Weighting for Short Text Data. SMC Chutao Zheng, Cheng Liu, Hau-San Wong
2014	J	`jnl`	A Bayesian Model for Crowd Escape Behavior Detection. IEEE Trans. Circuits Syst. Video Technol. Si Wu, Hau-San Wong, Zhiwen Yu
2014	B	`conf`	AORS: Affinity-based outlier ranking score. IJCNN Shaohong Zhang, Hau-San Wong, Wen-Jun Shen, Dongqing Xie
2014	J	`jnl`	Characterisation of semantic similarity on gene ontology based on a shortest path approach. Int. J. Data Min. Bioinform. Ying Shen, Shaohong Zhang, Hau-San Wong, Lin Zhang
2014	J	`jnl`	Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. Zhiwen Yu, Hongsheng Chen, Jane You, Hau-San Wong, Jiming Liu, Le Li, Guoqiang Han
2014	J	`jnl`	Hybrid clustering solution selection strategy. Pattern Recognit. Zhiwen Yu, Le Li, Yunjun Gao, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han
2014	J	`jnl`	Introduction to the Peptide Binding Problem of Computational Immunology: New Results. Found. Comput. Math. Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale
2014	B	`conf`	Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles. ICPR Le Li, Zhiwen Yu, Jiming Liu, Jane You, Hau-San Wong, Guoqiang Han
2014	J	`jnl`	Probabilistic cluster structure ensemble. Inf. Sci. Zhiwen Yu, Le Li, Hau-San Wong, Jane You, Guoqiang Han, Yunjun Gao, Guo-Xian Yu
2014	B	`conf`	Semi-supervised clustering with pairwise and size constraints. IJCNN Shaohong Zhang, Hau-San Wong, Dongqing Xie
2012	J	`jnl`	A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity. IEEE ACM Trans. Comput. Biol. Bioinform. Shaohong Zhang, Hau-San Wong, Ying Shen, Dongqing Xie
2012	J	`jnl`	A fuzzy minimax clustering model and its applications. Inf. Sci. Xiang Li, Hau-San Wong, Si Wu
2012	J	`jnl`	Crowd Motion Partitioning in a Scattered Motion Field. IEEE Trans. Syst. Man Cybern. Part B Si Wu, Hau-San Wong
2012	J	`jnl`	From cluster ensemble to structure ensemble. Inf. Sci. Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han
2012	J	`jnl`	Generalized Adjusted Rand Indices for cluster ensembles. Pattern Recognit. Shaohong Zhang, Hau-San Wong, Ying Shen
2012	J	`jnl`	Hybrid cluster ensemble framework based on the random combination of data transformation operators. Pattern Recognit. Zhiwen Yu, Hau-San Wong, Jane You, Guo-Xian Yu, Guoqiang Han
2012	J	`jnl`	Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution. Pattern Recognit. Si Wu, Hau-San Wong
2012	—	`conf`	OWA-PSSM - A position specific scoring matrix based method integrated with OWA weights for HLA-DR peptide binding prediction. BIBM Wen-Jun Shen, Hau-San Wong
2012	J	`jnl`	SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. Zhiwen Yu, Le Li, Jane You, Hau-San Wong, Guoqiang Han
2012	J	`jnl`	Towards a Mathematical Foundation of Immunology and Amino Acid Chains CoRR Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale
2012	J	`jnl`	Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme. Inf. Sci. Zhiwen Yu, Hau-San Wong, Jane You, Guoqiang Han
2011	J	`jnl`	A modified support vector machine and its application to image segmentation. Image Vis. Comput. Zhiwen Yu, Hau-San Wong, Guihua Wen
2011	J	`jnl`	Feature-based 3D motif filtering for ribosomal RNA. Bioinform. Ying Shen, Hau-San Wong, Shaohong Zhang, Zhiwen Yu
2011	J	`jnl`	Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Zhiwen Yu, Hau-San Wong, Dingwen Wang, Ming Wei
2010	—	`conf`	A new method for measuring the semantic similarity on gene ontology. BIBM Ying Shen, Shaohong Zhang, Hau-San Wong
2010	B	`conf`	ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles. ICPR Shaohong Zhang, Hau-San Wong
2010	J	`jnl`	ASM: An adaptive simplification method for 3D point-based models. Comput. Aided Des. Zhiwen Yu, Hau-San Wong, Hong Peng, Qian-Li Ma
2010	J	`jnl`	Credibilistic Satisfiability and Credibilistic Entailment. J. Multiple Valued Log. Soft Comput. Xiang Li, Hau-San Wong
2010	J	`jnl`	Hybrid Associative Retrieval of Three-Dimensional Models. IEEE Trans. Syst. Man Cybern. Part B Shaohong Zhang, Hau-San Wong, Zhiwen Yu, Horace Ho-Shing Ip
2010	J	`jnl`	Quantization-based clustering algorithm. Pattern Recognit. Zhiwen Yu, Hau-San Wong
2009	—	`conf`	A Shape Derivative Based Approach for Crowd Flow Segmentation. ACCV (1) Si Wu, Zhiwen Yu, Hau-San Wong
2009	J	`jnl`	A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns. J. Comput. Appl. Math. Xiang Li, Yang Zhang, Hau-San Wong, Zhongfeng Qin
2009	J	`jnl`	A neural network-based biomarker association information extraction approach for cancer classification. J. Biomed. Informatics Hong-Qiang Wang, Hau-San Wong, Hailong Zhu, Timothy T. C. Yip
2009	B	`conf`	Active constrained clustering with multiple cluster representatives. SMC Shaohong Zhang, Hau-San Wong
2009	—	`conf`	Crowd Flow Segmentation Using a Novel Region Growing Scheme. PCM Si Wu, Zhiwen Yu, Hau-San Wong
2009	B	`conf`	Fuzzy multi-objective portfolio selection model with transaction costs. FUZZ-IEEE Yang Zhang, Xiang Li, Hau-San Wong, Lirong Tan
2009	J	`jnl`	Logic optimality for multi-objective optimization. Appl. Math. Comput. Xiang Li, Hau-San Wong
2008	J	`jnl`	3D head model retrieval in kernel feature space using HSOM. Pattern Recognit. Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip
2008	A	`conf`	3D motion sequence retrieval based on data distribution. ICME Xing Wang, Zhiwen Yu, Hau-San Wong
2008	—	`conf`	Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. ICMB Hong-Qiang Wang, Hau-San Wong, Hailong Zhu
2008	J	`jnl`	Constructing the gene regulation-level representation of microarray data for cancer classification. J. Biomed. Informatics Hau-San Wong, Hong-Qiang Wang
2008	B	`conf`	Ensemble based 3D human motion classification. IJCNN Zhiwen Yu, Xing Wang, Hau-San Wong
2008	B	`conf`	Fuzzy cluster ensemble and its application on 3D head model classification. IJCNN Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang
2008	—	`ch.`	Human Computer Interaction. Encyclopedia of Multimedia Hau-San Wong, Horace H. S. Ip
2008	B	`conf`	Identification of phosphorylation sites using a hybrid classifier ensemble approach. ICPR Zhiwen Yu, Zhongkai Deng, Hau-San Wong
2008	A	`conf`	Image classification based on the bagging-adaboost ensemble. ICME Zhiwen Yu, Hau-San Wong
2008	—	`conf`	K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites. BIOCOMP Zhiwen Yu, Zhongkai Deng, Hau-San Wong
2008	B	`conf`	Knowledge based Cluster Ensemble. IJCNN Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang
2008	B	`conf`	Knowledge based cluster ensemble for 3D head model classification. ICPR Zhiwen Yu, Hau-San Wong
2008	B	`conf`	Knowledge learning based evolutionary algorithm for unconstrained optimization problem. IEEE Congress on Evolutionary Computation Zhiwen Yu, Dingwen Wang, Hau-San Wong
2008	B	`conf`	Nearest neighbor evolutionary algorithm for constrained optimization problem. IEEE Congress on Evolutionary Computation Zhiwen Yu, Dingwen Wang, Hau-San Wong
2008	B	`conf`	Partial closure-based constrained clustering with order ranking. ICPR Shaohong Zhang, Hau-San Wong
2008	B	`conf`	Pattern mining based on local distribution. IJCNN Zhiwen Yu, Xing Wang, Hau-San Wong, Zhongkai Deng
2008	A	`conf`	Searching of motion database based on hierarchical SOM. ICME Xing Wang, Zhiwen Yu, Hau-San Wong
2007	J	`jnl`	3-D Head Model Retrieval Using a Single Face View Query. IEEE Trans. Multim. Hau-San Wong, Bo Ma, Zhiwen Yu, Pui Fong Yeung, Horace Ho-Shing Ip
2007	—	`conf`	3D Head Model Classification based on Bayesian classifer. MLDM Posters Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong
2007	—	`conf`	3D Head Model Classification based on Cluster Ensemble. MLDM Posters Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong
2007	—	`conf`	3D Model Retrieval Based on Multi-Shell Extended Gaussian Image. VISUAL Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li
2007	—	`conf`	3D model representation using adaptive volumetric extended Gaussian image. CIVR Jiqi Zhang, Dingwen Wang, Hau-San Wong
2007	—	`conf`	A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram. MLDM Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang
2007	J	`jnl`	A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering. IEEE Trans. Multim. Zhiwen Yu, Hau-San Wong
2007	—	`conf`	Content-Based 3D Model Retrieval Based on the Spatial Geometric Descriptor. PCM Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li
2007	J	`jnl`	Extracting gene regulation information for cancer classification. Pattern Recognit. Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu
2007	J	`jnl`	Face and palmprint feature level fusion for single sample biometrics recognition. Neurocomputing Yong-Fang Yao, Xiao-Yuan Jing, Hau-San Wong
2007	—	`conf`	Fast Gaussian Mixture Clustering for Skin Detection. ICIP (4) Zhiwen Yu, Hau-San Wong
2007	A	`conf`	Gaussian Representation for 3D Point Based Head Model Classification Based on Generalized Minimax Algorithm. ICME Zhiwen Yu, Hau-San Wong, Jiqi Zhang
2007	J	`jnl`	Graph-based consensus clustering for class discovery from gene expression data. Bioinform. Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang
2007	J	`jnl`	Hierarchical multi-classifier system design based on evolutionary computation technique. Multim. Tools Appl. Hau-San Wong, Kent K. T. Cheung, Chun-Ip Chiu, Yang Sha, Horace Ho-Shing Ip
2007	—	`conf`	Image Segmentation Based on Cluster Ensemble. ISNN (3) Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang
2007	J	`jnl`	Kernel clustering-based discriminant analysis. Pattern Recognit. Bo Ma, Hui-yang Qu, Hau-San Wong
2007	B	`conf`	Prediction of Long-range Contacts from Sequence Profile. IJCNN Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang
2007	—	`conf`	Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. ICNC (2) Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong
2006	J	`jnl`	2D clustering based discriminant analysis for 3D head model classification. Pattern Recognit. Bo Ma, Hau-San Wong
2006	—	`conf`	3D Head Model Classification Using KCDA. PCM Bo Ma, Hui-yang Qu, Hau-San Wong, Yao Lu
2006	—	`conf`	3D head model classification using optimized EGI. Three-Dimensional Image Capture and Applications Xin Tong, Hau-San Wong, Bo Ma
2006	A*	`conf`	3D model metrieval based on volumetric extended gaussian image and hierarchical self organizing map. ACM Multimedia Jiqi Zhang, Hau-San Wong, Zhiwen Yu
2006	A	`conf`	An efficient local clustering approach for simplification of 3D point-based computer graphics models. ICME Zhiwen Yu, Hau-San Wong
2006	B	`conf`	Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM. IJCNN Zhiwen Yu, Hau-San Wong
2006	—	`conf`	Evolutionary Optimization of Feature Representation for 3D Point-based. ICPR (2) Xin Tong, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip
2006	A	`conf`	FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA. ICME Zhiwen Yu, Hau-San Wong
2006	J	`jnl`	Face recognition based on 2D Fisherface approach. Pattern Recognit. Xiao-Yuan Jing, Hau-San Wong, David Zhang
2006	J	`jnl`	Face recognition based on discriminant fractional Fourier feature extraction. Pattern Recognit. Lett. Xiao-Yuan Jing, Hau-San Wong, David Zhang
2006	B	`conf`	Fast Gaussian Mixture Clustering for Skin Detection. ICIP Zhiwen Yu, Hau-San Wong
2006	—	`conf`	GCA: A real-time grid-based clustering algorithm for large data set. ICPR (2) Zhiwen Yu, Hau-San Wong
2006	A	`conf`	GPCD: Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games. ICME Zhiwen Yu, Hau-San Wong
2006	—	`conf`	Genetic-based K-means algorithm for selection of feature variables. ICPR (2) Zhiwen Yu, Hau-San Wong
2006	—	`ch.`	Human Computer Interaction. Encyclopedia of Multimedia Hau-San Wong, Horace Ho-Shing Ip
2006	B	`conf`	Improving the selectivity of range query for image databases based on a probabilistic framework. SMC Zhiwen Yu, Hau-San Wong
2006	J	`jnl`	Information Mining from Multimedia Databases. EURASIP J. Adv. Signal Process. Ling Guan, Horace Ho-Shing Ip, Paul H. Lewis, Hau-San Wong, Paisarn Muneesawang
2006	C	`conf`	Labeling of Human Motion by Constraint-Based Genetic Algorithm. CIS Fuyuan Hu, Hau-San Wong, Zhi Qiang Liu, Hui-yang Qu
2006	C	`conf`	Learning Graphical Model for Human Motion Characterization Using Genetic Optimization. ICARCV Hui-yang Qu, Hau-San Wong, Bo Ma
2006	B	`conf`	Long-Range Interaction Analysis using Principal Component Analysis. IJCNN Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang
2006	—	`conf`	Mining Uncertain Data in Low-dimensional Subspace. ICPR (2) Zhiwen Yu, Hau-San Wong
2006	B	`conf`	Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang
2005	J	`jnl`	A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. Appl. Math. Comput. De-Shuang Huang, Horace Ho-Shing Ip, Ken C. K. Law, Zheru Chi, Hau-San Wong
2005	J	`jnl`	An uncorrelated fisherface approach. Neurocomputing Xiao-Yuan Jing, Hau-San Wong, David Zhang, Yuan Yan Tang
2005	J	`jnl`	Application of evolutionary strategies for 3D graphical model categorization and retrieval. Multim. Syst. Hau-San Wong, Kent K. T. Cheung, Chun-Ip Chiu, Horace Ho-Shing Ip
2005	A	`conf`	Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment. ICME Apple W. P. Fok, Hau-San Wong, Y. S. Chen
2005	C	`conf`	Hierarchical Indexing for 3D Head Model Retrieval Based on Kernel PCA. IV Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip
2005	C	`conf`	Relevance Vector Machine for Content-Based Retrieval of 3D Head Models. IV Pui Fong Yeung, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip
2005	J	`jnl`	Transformation of Compressed Domain Features for Content-Based Image Indexing and Retrieval. Multim. Tools Appl. Hau-San Wong, Horace Ho-Shing Ip, Lawrence P. L. Iu, Kent K. T. Cheung, Ling Guan
2004	J	`jnl`	3D head model classification by evolutionary optimization of the Extended Gaussian Image representation. Pattern Recognit. Hau-San Wong, Kent K. T. Cheung, Horace Ho-Shing Ip
2004	B	`conf`	Compressed domain feature transformation using evolutionary strategies for image classification. ICIP Chun-Ip Chia, Hau-San Wong, Horace Ho-Shing Ip
2004	—	`conf`	Content-Based Retrieval of 3D Head Models Using a Single Face View Query. PCM (2) Pui Fong Yeung, Hau-San Wong, Horace Ho-Shing Ip
2004	—	`conf`	Indexing and Retrieval of 3D Models by Unsupervised Clustering with Hierarchical SOM. ICPR (4) Hau-San Wong, Kent K. T. Cheung, Yang Sha, Horace Ho-Shing Ip
2003	—	`conf`	An evolutionary optimization approach for 3D human head model classification. Multimedia Information Retrieval Hau-San Wong, Kent K. T. Cheung, Horace Ho-Shing Ip
2003	B	`conf`	Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks. IJCNN De-Shuang Huang, Horace H. S. Ip, Ken C. K. Law, Hau-San Wong
2003	J	`jnl`	Polyhedral Object Localization in an Image by Referencing to a Single Model View. Int. J. Comput. Vis. Ronald Chung, Hau-San Wong
2001	J	`jnl`	A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture. IEEE Trans. Neural Networks Hau-San Wong, Ling Guan
2001	J	`jnl`	Dynamic resource allocation via video content and short-term traffic statistics. IEEE Trans. Multim. Min Wu, Robert A. Joyce, Hau-San Wong, Ling Guan, Sun-Yuan Kung
2000	J	`jnl`	A model-based neural network for edge characterization. Pattern Recognit. Hau-San Wong, Terry Caelli, Ling Guan
2000	J	`jnl`	Application of evolutionary programming to adaptive regularization in image restoration. IEEE Trans. Evol. Comput. Hau-San Wong, Ling Guan
2000	B	`conf`	Characterization of Perceptual Importance for Object-Based Image Segmentation. ICIP Hau-San Wong, Ling Guan
1999	—	`conf`	A Fuzzy Model-Based Neural Network for Adaptive Regularization in Image Restoration. ICIP (1) Hau-San Wong, Ling Guan
1999	Misc	`conf`	Edge characterization using a model-based neural network. ICASSP Hau-San Wong, Terry Caelli, Ling Guan
1998	J	`jnl`	Adaptive regularization in image restoration by unsupervised learning. J. Electronic Imaging Hau-San Wong, Ling Guan
1998	Misc	`conf`	Neural vision system and applications in image processing and analysis. ICASSP Ling Guan, Stuart W. Perry, Raniero Romagnoli, Hau-San Wong, Haosong Kong
1995	B	`conf`	Compression of digital mammogram databases using a near-lossless scheme. ICIP Hau-San Wong, Ling Guan, H. Hong