Hau-San Wong

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 103

Top Venues

IEEE Trans. Cybern.

Pattern Recognit.

CVPR

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhiri Tang, Hau-San Wong, Zekuan Yu
Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer. IEEE Signal Process. Lett. 31 (2024)
Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong
Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. Knowl. Based Syst. 289 (2024)
Wenhao Wu, Hau-San Wong, Si Wu
Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. CoRR (2024)
Zhiri Tang, Hau-San Wong, Zekuan Yu
Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. AAAI (2024)
Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong
A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. IEEE Trans. Multim. 26 (2024)
Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong
Blemish-aware and Progressive Face Retouching with Limited Paired Data. CVPR (2023)
Jian Zhong, Si Wu, Hau-San Wong
Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. ICIP (2023)
Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong
Collaborative learning-based unknown-class instance identification for open-set domain adaptation. Inf. Sci. 651 (2023)
Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. IEEE Trans. Biomed. Eng. 70 (1) (2023)
Wenhao Wu, Hau-San Wong, Si Wu
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. CVPR (2023)
Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong
Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. Pattern Recognit. 133 (2023)
Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. CVPR (2023)
Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong
Self-Supervised Graph Completion for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong
Discriminator feature-based progressive GAN inversion. Knowl. Based Syst. 261 (2023)
Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong
Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. CVPR (2023)
Zhiri Tang, Qianfen Jiao, Jian Zhong, Si Wu, Hau-San Wong
Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening. ICME (2022)
Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Hau-San Wong, Jane You, Guoqiang Han
Progressive Hybrid Classifier Ensemble for Imbalanced Data. IEEE Trans. Syst. Man Cybern. Syst. 52 (4) (2022)
Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong
SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR (2022)
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
αβ-GAN: Robust generative adversarial networks. Inf. Sci. 593 (2022)
Zhen Xu, Si Wu, Qianfen Jiao, Hau-San Wong
TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer. Knowl. Based Syst. 257 (2022)
Wenhao Wu, Qianfen Jiao, Hau-San Wong, Gaozhe Li, Si Wu
Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios. Knowl. Based Syst. 243 (2022)
Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong
GAN-Based Enhanced Deep Subspace Clustering Networks. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
Semisupervised Multiple Choice Learning for Ensemble Classification. IEEE Trans. Cybern. 52 (5) (2022)
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong
Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. Pattern Recognit. 129 (2022)
Wenhao Wu, Si Wu, Hau-San Wong
Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. ACCV (2) (2022)
Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Jane You, Hau-San Wong
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong
Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong
Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. 24 (2022)
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
The residual generator: An improved divergence minimization framework for GAN. Pattern Recognit. 121 (2022)
Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong
Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. 24 (2022)
Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong
Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. IEEE Multim. 29 (3) (2022)
Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong
Attention regularized semi-supervised learning with class-ambiguous data for image classification. Pattern Recognit. 129 (2022)
Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
Perturbation-insensitive cross-domain image enhancement for low-quality face verification. Inf. Sci. 608 (2022)
Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong
Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. ICME (2021)
Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong
Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia (2021)
Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong
Behavior regularized prototypical networks for semi-supervised few-shot image classification. Pattern Recognit. 112 (2021)
Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV (2021)
Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. CVPR (2021)
Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong
Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders. ICME (2021)
Mohamed Azzam, Wenhao Wu, Wen-ming Cao, Si Wu, Hau-San Wong
KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. IEEE Trans. Multim. 23 (2021)
Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong
Unsupervised Ensemble Learning Via Network Generation. ICME (2021)
Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong
DDAT: Dual domain adaptive translation for low-resolution face verification in the wild. Pattern Recognit. 120 (2021)
Yifan Shi, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Guoqiang Han
Fast and Effective Active Clustering Ensemble Based on Density Peak. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI (2021)
Dan Dai, Juan Tang, Zhiwen Yu, Hau-San Wong, Jane You, Wenming Cao, Yang Hu, C. L. Philip Chen
An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering. IEEE Trans. Cybern. 51 (4) (2021)
Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. IEEE Trans. Image Process. 30 (2021)
Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN (2021)
Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong
Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognit. 105 (2020)
Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong
Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. 50 (1) (2020)
Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
Model Adaptation: Unsupervised Domain Adaptation Without Source Data. CVPR (2020)
Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. IEEE Trans. Image Process. 29 (2020)
Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu
Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. ICPR (2020)
Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. CVPR (2020)
Rui Li, Wenming Cao, Si Wu, Hau-San Wong
Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 29 (2020)
Kaixiang Yang, Zhiwen Yu, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You
Hybrid Classifier Ensemble for Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 31 (4) (2020)
Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong
Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. IEEE Trans. Image Process. 29 (2020)
Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
Adaptive Regularized Semi-Supervised Clustering Ensemble. IEEE Access 8 (2020)
Yifan Shi, Zhiwen Yu, C. L. Philip Chen, Jane You, Hau-San Wong, Yide Wang, Jun Zhang
Transfer Clustering Ensemble Selection. IEEE Trans. Cybern. 50 (6) (2020)
Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Joint subspace and discriminative learning for self-paced domain adaptation. Knowl. Based Syst. 205 (2020)
Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI (2019)
Bo Yang, Qilin Mu, Hairui Zou, Yancheng Zeng, Hau-San Wong, Zesong Li, Peng Wang
A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors. ICONIP (4) (2019)
Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong
Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. AAAI (2019)
Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang
Multiobjective Semisupervised Classifier Ensemble. IEEE Trans. Cybern. 49 (6) (2019)
Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV (2019)
Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong
Encoding sparse and competitive structures among tasks in multi-task learning. Pattern Recognit. 88 (2019)
Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. CVPR (2019)
Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang
Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm. Knowl. Based Syst. 183 (2019)
Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. CVPR (2019)
Yong Du, Guoqiang Han, Yuhui Quan, Zhiwen Yu, Hau-San Wong, C. L. Philip Chen, Jun Zhang
Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion. IEEE Trans. Cybern. 49 (11) (2019)
Zhiwen Yu, Yidong Zhang, Jane You, C. L. Philip Chen, Hau-San Wong, Guoqiang Han, Jun Zhang
Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification. IEEE Trans. Cybern. 49 (2) (2019)
Zhiwen Yu, Daxing Wang, Zhuoxiong Zhao, C. L. Philip Chen, Jane You, Hau-San Wong, Jun Zhang
Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification. IEEE Trans. Cybern. 49 (2) (2019)
Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong
Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. 86 (2019)
Cheng Liu, Hau-San Wong
Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong
Efficient Direct Structured Subspace Clustering. ICONIP (4) (2018)
Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong
Adaptive activation functions in convolutional neural networks. Neurocomputing 272 (2018)
Zhiwen Yu, Ye Lu, Jun Zhang, Jane You, Hau-San Wong, Yide Wang, Guoqiang Han
Progressive Semisupervised Learning of Multiple Classifiers. IEEE Trans. Cybern. 48 (2) (2018)
Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
Self-supervised GAN for Image Generation by Correlating Image Channels. PCM (2) (2018)
Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu
Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. 20 (4) (2018)
Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
Coupled Learning for Image Generation and Latent Representation Inference Using MMD. PCM (2) (2018)
Zhiqiang Wang, Zhiwen Yu, C. L. Philip Chen, Jane You, Tianlong Gu, Hau-San Wong, Jun Zhang
Clustering by Local Gravitation. IEEE Trans. Cybern. 48 (5) (2018)
Si Wu, Hau-San Wong, Shufeng Wang
Variant SemiBoost for Improving Human Detection in Application Scenes. IEEE Trans. Circuits Syst. Video Technol. 28 (7) (2018)
Chutao Zheng, Cheng Liu, Hau-San Wong
Corpus-based topic diffusion for short text clustering. Neurocomputing 275 (2018)
Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR (2018)
Zhiwen Yu, Peinan Luo, Jiming Liu, Hau-San Wong, Jane You, Guoqiang Han, Jun Zhang
Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. 27 (3) (2018)
Chutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong
Locality-Sensitive Term Weighting for Short Text Clustering. ICONIP (1) (2017)
Shaohong Zhang, Zongbao Yang, Xiaofei Xing, Ying Gao, Dongqing Xie, Hau-San Wong
Generalized Pair-Counting Similarity Measures for Clustering and Cluster Ensembles. IEEE Access 5 (2017)
Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han
Adaptive Ensembling of Semi-Supervised Clustering Solutions. IEEE Trans. Knowl. Data Eng. 29 (8) (2017)
Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong
Learning with Partially Shared Features for Multi-Task Learning. ICONIP (5) (2017)
Zhiwen Yu, Xianjun Zhu, Hau-San Wong, Jane You, Jun Zhang, Guoqiang Han
Distribution-Based Cluster Structure Selection. IEEE Trans. Cybern. 47 (11) (2017)
Zhiwen Yu, Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, Guoqiang Han
A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets. IEEE Trans. Cybern. 47 (12) (2017)
Farrikh Alzami, Daxing Wang, Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han
Robust Epileptic Seizure Classification. ICIC (2) (2016)
Zhiwen Yu, Peinan Luo, Si Wu, Guoqiang Han, Jane You, Hareton Leung, Hau-San Wong, Jun Zhang
Incremental semi-supervised clustering ensemble for high dimensional data clustering. ICDE (2016)
Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering. IEEE Trans. Knowl. Data Eng. 28 (3) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hau-San Wong