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ORCIDHau-San Wong
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- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
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2020 – today
- 2025
[j121]Qianfen Jiao
, Zhen Xu, Si Wu, Hau-San Wong:
DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer. Pattern Recognit. 158: 111049 (2025)- 2024
- [j120]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: 111478 (2024) - [j119]Zhiri Tang, Hau-San Wong, Zekuan Yu:
Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer. IEEE Signal Process. Lett. 31: 136-140 (2024) - [j118]Wenhao Wu, Hau-San Wong, Si Wu:
Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j117]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): 3219-3227 (2024) - [j116]Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong:
A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. IEEE Trans. Multim. 26: 436-446 (2024) - [j115]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): 10803-10816 (2024) - [c107]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: 5903-5911 - [c106]Lianxin Xie, Csbingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong:
Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. CVPR 2024: 9120-9129 - [c105]Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong:
VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. CVPR 2024: 9141-9150 - [c104]Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong:
Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. CVPR 2024: 9172-9181 - [c103]Wenhao Wu, Hau-San Wong, Si Wu, Tianyou Zhang:
Relational Matching for Weakly Semi-Supervised Oriented Object Detection. CVPR 2024: 27800-27810 - [c102]Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. ICML 2024 - [c101]Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong:
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. IJCAI 2024: 5954-5962 - [c100]Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong:
Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. ACM Multimedia 2024: 5102-5111 - [c99]Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong:
Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. ACM Multimedia 2024: 5240-5249 - [i2]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 abs/2406.03944 (2024) - 2023
- [j114]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: 119704 (2023) - [j113]Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong:
Discriminator feature-based progressive GAN inversion. Knowl. Based Syst. 261: 110186 (2023) - [j112]Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong:
Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. Pattern Recognit. 133: 109032 (2023) - [j111]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): 307-317 (2023) - [j110]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): 9394-9406 (2023) - [c98]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: 5599-5608 - [c97]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: 7392-7401 - [c96]Wenhao Wu, Hau-San Wong, Si Wu:
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. CVPR 2023: 17471-17481 - [c95]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: 19285-19294 - [c94]Jian Zhong, Si Wu, Hau-San Wong:
Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. ICIP 2023: 405-409 - 2022
- [j109]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): 57-68 (2022) - [j108]Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li:
αβ-GAN: Robust generative adversarial networks. Inf. Sci. 593: 177-200 (2022) - [j107]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: 1183-1201 (2022) - [j106]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: 108439 (2022) - [j105]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: 109958 (2022) - [j104]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: 108222 (2022) - [j103]Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong:
Attention regularized semi-supervised learning with class-ambiguous data for image classification. Pattern Recognit. 129: 108727 (2022) - [j102]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: 108768 (2022) - [j101]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): 1193-1202 (2022) - [j100]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): 3658-3668 (2022) - [j99]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): 3267-3281 (2022) - [j98]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): 5809-5824 (2022) - [j97]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: 728-739 (2022) - [j96]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: 2975-2985 (2022) - [j95]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): 75-88 (2022) - [j94]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): 654-666 (2022) - [j93]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): 2464-2478 (2022) - [c93]Wenhao Wu, Si Wu, Hau-San Wong:
Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. ACCV (2) 2022: 187-203 - [c92]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: 9991-10000 - [c91]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: 1-6 - 2021
- [j92]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: 107765 (2021) - [j91]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: 108107 (2021) - [j90]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): 2019-2031 (2021) - [j89]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: 5807-5818 (2021) - [j88]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: 3318-3331 (2021) - [j87]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): 3593-3607 (2021) - [c90]Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong:
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI 2021: 8366-8374 - [c89]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: 5506-5515 - [c88]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: 9244-9253 - [c87]Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong:
Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. ICME 2021: 1-6 - [c86]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: 1-6 - [c85]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: 1-6 - [c84]Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong:
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN 2021: 1-7 - [c83]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: 1562-1570 - 2020
- [j86]Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen:
Adaptive Regularized Semi-Supervised Clustering Ensemble. IEEE Access 8: 17926-17934 (2020) - [j85]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: 106285 (2020) - [j84]Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong:
Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognit. 105: 107343 (2020) - [j83]Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong:
Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. 50(1): 74-86 (2020) - [j82]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): 2872-2885 (2020) - [j81]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: 538-550 (2020) - [j80]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: 1562-1574 (2020) - [j79]Rui Li, Wenming Cao, Si Wu, Hau-San Wong:
Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 29: 7997-8011 (2020) - [j78]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): 1387-1400 (2020) - [c82]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: 5719-5728 - [c81]Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu:
Model Adaptation: Unsupervised Domain Adaptation Without Source Data. CVPR 2020: 9638-9647 - [c80]Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu:
Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. ICPR 2020: 2375-2381
2010 – 2019
- 2019
- [j77]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) - [j76]Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong:
Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. 86: 248-264 (2019) - [j75]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: 689-701 (2019) - [j74]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): 312-321 (2019) - [j73]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): 366-379 (2019) - [j72]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): 403-416 (2019) - [j71]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): 2280-2293 (2019) - [j70]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): 3898-3910 (2019) - [j69]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): 355-368 (2019) - [c79]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: 5450-5457 - [c78]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: 6500-6509 - [c77]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: 10091-10100 - [c76]Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong:
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV 2019: 5056-5065 - [c75]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: 227-236 - [c74]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: 3268-3274 - 2018
- [j68]Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong:
Adaptive activation functions in convolutional neural networks. Neurocomputing 272: 204-212 (2018) - [j67]Chutao Zheng, Cheng Liu, Hau-San Wong:
Corpus-based topic diffusion for short text clustering. Neurocomputing 275: 2444-2458 (2018) - [j66]Si Wu, Hau-San Wong, Shufeng Wang:
Variant SemiBoost for Improving Human Detection in Application Scenes. IEEE Trans. Circuits Syst. Video Technol. 28(7): 1595-1608 (2018) - [j65]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): 689-702 (2018) - [j64]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): 1383-1396 (2018) - [j63]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): 1418-1432 (2018) - [j62]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): 2394-2407 (2018) - [j61]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): 851-865 (2018) - [c73]Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong:
Efficient Direct Structured Subspace Clustering. ICONIP (4) 2018: 181-190 - [c72]Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu:
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR 2018: 37-42 - [c71]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: 78-88 - [c70]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: 430-440 - 2017
- [j60]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: 16904-16918 (2017) - [j59]Zhiwen Yu, Xianjun Zhu, Hau-San Wong, Jane You, Jun Zhang, Guoqiang Han:
Distribution-Based Cluster Structure Selection. IEEE Trans. Cybern. 47(11): 3554-3567 (2017) - [j58]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): 4418-4431 (2017) - [j57]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): 1577-1590 (2017) - [c69]Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong:
Learning with Partially Shared Features for Multi-Task Learning. ICONIP (5) 2017: 95-104 - [c68]Chutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong:
Locality-Sensitive Term Weighting for Short Text Clustering. ICONIP (1) 2017: 434-444 - 2016
- [j56]Yanmei Hu, Bo Yang, Hau-San Wong:
A weighted local view method based on observation over ground truth for community detection. Inf. Sci. 355-356: 37-57 (2016) - [j55]Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han:
Progressive subspace ensemble learning. Pattern Recognit. 60: 692-705 (2016) - [j54]Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong:
A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 261-271 (2016) - [j53]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): 701-714 (2016) - [c67]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: 1484-1485 - [c66]Farrikh Alzami, Daxing Wang, Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han:
Robust Epileptic Seizure Classification. ICIC (2) 2016: 363-373 - 2015
- [j52]Fuyuan Hu, Shaohui Si, Hau-San Wong, Baochuan Fu, Maoxin Si, Heng Luo:
An adaptive approach for texture enhancement based on a fractional differential operator with non-integer step and order. Neurocomputing 158: 295-306 (2015) - [j51]Hai Huang, Shaohong Zhang, Wen-Jun Shen, Hau-San Wong, Dongqing Xie:
Gene set enrichment ensemble using fold change data only. J. Biomed. Informatics 57: 189-203 (2015) - [j50]Zhiwen Yu, Hantao Chen, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han, Le Li:
Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 887-901 (2015) - [c65]Chutao Zheng, Cheng Liu, Hau-San Wong:
Iterative Term Weighting for Short Text Data. SMC 2015: 1687-1692 - 2014
- [j49]Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale:
Introduction to the Peptide Binding Problem of Computational Immunology: New Results. Found. Comput. Math. 14(5): 951-984 (2014) - [j48]Ying Shen, Shaohong Zhang, Hau-San Wong, Lin Zhang:
Characterisation of semantic similarity on gene ontology based on a shortest path approach. Int. J. Data Min. Bioinform. 10(1): 33-48 (2014) - [j47]Zhiwen Yu, Le Li, Hau-San Wong, Jane You, Guoqiang Han, Yunjun Gao, Guo-Xian Yu:
Probabilistic cluster structure ensemble. Inf. Sci. 267: 16-34 (2014) - [j46]Zhiwen Yu, Le Li, Yunjun Gao, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han:
Hybrid clustering solution selection strategy. Pattern Recognit. 47(10): 3362-3375 (2014) - [j45]Zhiwen Yu, Hongsheng Chen, Jane You, Hau-San Wong, Jiming Liu, Le Li, Guoqiang Han:
Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 727-740 (2014) - [j44]Si Wu, Hau-San Wong, Zhiwen Yu:
A Bayesian Model for Crowd Escape Behavior Detection. IEEE Trans. Circuits Syst. Video Technol. 24(1): 85-98 (2014) - [c64]Le Li, Zhiwen Yu, Jiming Liu, Jane You, Hau-San Wong, Guoqiang Han:
Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles. ICPR 2014: 178-183 - [c63]Shaohong Zhang, Hau-San Wong, Wen-Jun Shen, Dongqing Xie:
AORS: Affinity-based outlier ranking score. IJCNN 2014: 1020-1027 - [c62]Shaohong Zhang, Hau-San Wong, Dongqing Xie:
Semi-supervised clustering with pairwise and size constraints. IJCNN 2014: 2450-2457 - 2012
- [j43]Xiang Li, Hau-San Wong, Si Wu:
A fuzzy minimax clustering model and its applications. Inf. Sci. 186(1): 114-125 (2012) - [j42]Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han:
From cluster ensemble to structure ensemble. Inf. Sci. 198: 81-99 (2012) - [j41]Zhiwen Yu, Hau-San Wong, Jane You, Guoqiang Han:
Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme. Inf. Sci. 203: 83-101 (2012) - [j40]Zhiwen Yu, Hau-San Wong, Jane You, Guo-Xian Yu, Guoqiang Han:
Hybrid cluster ensemble framework based on the random combination of data transformation operators. Pattern Recognit. 45(5): 1826-1837 (2012) - [j39]Shaohong Zhang, Hau-San Wong, Ying Shen:
Generalized Adjusted Rand Indices for cluster ensembles. Pattern Recognit. 45(6): 2214-2226 (2012) - [j38]Si Wu, Hau-San Wong:
Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution. Pattern Recognit. 45(9): 3389-3401 (2012) - [j37]Shaohong Zhang, Hau-San Wong, Ying Shen, Dongqing Xie:
A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1257-1263 (2012) - [j36]Zhiwen Yu, Le Li, Jane You, Hau-San Wong, Guoqiang Han:
SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1751-1765 (2012) - [j35]Si Wu, Hau-San Wong:
Crowd Motion Partitioning in a Scattered Motion Field. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1443-1454 (2012) - [c61]Wen-Jun Shen, Hau-San Wong:
OWA-PSSM - A position specific scoring matrix based method integrated with OWA weights for HLA-DR peptide binding prediction. BIBM 2012: 1-4 - [i1]Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale:
Towards a Mathematical Foundation of Immunology and Amino Acid Chains. CoRR abs/1205.6031 (2012) - 2011
- [j34]Ying Shen, Hau-San Wong, Shaohong Zhang, Zhiwen Yu:
Feature-based 3D motif filtering for ribosomal RNA. Bioinform. 27(20): 2828-2835 (2011) - [j33]Zhiwen Yu, Hau-San Wong, Guihua Wen:
A modified support vector machine and its application to image segmentation. Image Vis. Comput. 29(1): 29-40 (2011) - [j32]Zhiwen Yu, Hau-San Wong, Dingwen Wang, Ming Wei:
Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 15(6): 812-831 (2011) - 2010
- [j31]Zhiwen Yu, Hau-San Wong, Hong Peng, Qian-Li Ma:
ASM: An adaptive simplification method for 3D point-based models. Comput. Aided Des. 42(7): 598-612 (2010) - [j30]Xiang Li, Hau-San Wong:
Credibilistic Satisfiability and Credibilistic Entailment. J. Multiple Valued Log. Soft Comput. 16(1-2): 105-134 (2010) - [j29]Zhiwen Yu, Hau-San Wong:
Quantization-based clustering algorithm. Pattern Recognit. 43(8): 2698-2711 (2010) - [j28]Shaohong Zhang, Hau-San Wong, Zhiwen Yu, Horace Ho-Shing Ip:
Hybrid Associative Retrieval of Three-Dimensional Models. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1582-1595 (2010) - [c60]Ying Shen, Shaohong Zhang, Hau-San Wong:
A new method for measuring the semantic similarity on gene ontology. BIBM 2010: 533-538 - [c59]Shaohong Zhang, Hau-San Wong:
ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles. ICPR 2010: 778-781
2000 – 2009
- 2009
- [j27]Xiang Li, Hau-San Wong:
Logic optimality for multi-objective optimization. Appl. Math. Comput. 215(8): 3045-3056 (2009) - [j26]Hong-Qiang Wang, Hau-San Wong, Hailong Zhu, Timothy T. C. Yip:
A neural network-based biomarker association information extraction approach for cancer classification. J. Biomed. Informatics 42(4): 654-666 (2009) - [j25]Xiang Li, Yang Zhang, Hau-San Wong, Zhongfeng Qin:
A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns. J. Comput. Appl. Math. 233(2): 264-278 (2009) - [c58]Si Wu, Zhiwen Yu, Hau-San Wong:
A Shape Derivative Based Approach for Crowd Flow Segmentation. ACCV (1) 2009: 93-102 - [c57]Yang Zhang, Xiang Li, Hau-San Wong, Lirong Tan:
Fuzzy multi-objective portfolio selection model with transaction costs. FUZZ-IEEE 2009: 273-278 - [c56]Si Wu, Zhiwen Yu, Hau-San Wong:
Crowd Flow Segmentation Using a Novel Region Growing Scheme. PCM 2009: 898-907 - [c55]Shaohong Zhang, Hau-San Wong:
Active constrained clustering with multiple cluster representatives. SMC 2009: 2689-2694 - 2008
- [j24]Hau-San Wong, Hong-Qiang Wang:
Constructing the gene regulation-level representation of microarray data for cancer classification. J. Biomed. Informatics 41(1): 95-105 (2008) - [j23]Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip:
3D head model retrieval in kernel feature space using HSOM. Pattern Recognit. 41(2): 468-483 (2008) - [c54]Zhiwen Yu, Zhongkai Deng, Hau-San Wong:
K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites. BIOCOMP 2008: 713-717 - [c53]Zhiwen Yu, Dingwen Wang, Hau-San Wong:
Knowledge learning based evolutionary algorithm for unconstrained optimization problem. IEEE Congress on Evolutionary Computation 2008: 572-579 - [c52]Zhiwen Yu, Dingwen Wang, Hau-San Wong:
Nearest neighbor evolutionary algorithm for constrained optimization problem. IEEE Congress on Evolutionary Computation 2008: 2335-2342 - [c51]Xing Wang, Zhiwen Yu, Hau-San Wong:
3D motion sequence retrieval based on data distribution. ICME 2008: 1229-1232 - [c50]Xing Wang, Zhiwen Yu, Hau-San Wong:
Searching of motion database based on hierarchical SOM. ICME 2008: 1233-1236 - [c49]Zhiwen Yu, Hau-San Wong:
Image classification based on the bagging-adaboost ensemble. ICME 2008: 1481-1484 - [c48]Zhiwen Yu, Zhongkai Deng, Hau-San Wong:
Identification of phosphorylation sites using a hybrid classifier ensemble approach. ICPR 2008: 1-4 - [c47]Zhiwen Yu, Hau-San Wong:
Knowledge based cluster ensemble for 3D head model classification. ICPR 2008: 1-4 - [c46]Shaohong Zhang, Hau-San Wong:
Partial closure-based constrained clustering with order ranking. ICPR 2008: 1-4 - [c45]Zhiwen Yu, Xing Wang, Hau-San Wong:
Ensemble based 3D human motion classification. IJCNN 2008: 505-509 - [c44]Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang:
Fuzzy cluster ensemble and its application on 3D head model classification. IJCNN 2008: 569-576 - [c43]Zhiwen Yu, Xing Wang, Hau-San Wong, Zhongkai Deng:
Pattern mining based on local distribution. IJCNN 2008: 584-588 - [c42]Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang:
Knowledge based Cluster Ensemble. IJCNN 2008: 589-594 - [c41]Hong-Qiang Wang, Hau-San Wong, Hailong Zhu:
Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. ICMB 2008: 248-255 - [r2]Hau-San Wong, Horace H. S. Ip:
Human Computer Interaction. Encyclopedia of Multimedia 2008: 289-293 - 2007
- [j22]Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang:
Graph-based consensus clustering for class discovery from gene expression data. Bioinform. 23(21): 2888-2896 (2007) - [j21]Yong-Fang Yao, Xiao-Yuan Jing, Hau-San Wong:
Face and palmprint feature level fusion for single sample biometrics recognition. Neurocomputing 70(7-9): 1582-1586 (2007) - [j20]Hau-San Wong, Kent K. T. Cheung, Chun-Ip Chiu, Yang Sha, Horace Ho-Shing Ip:
Hierarchical multi-classifier system design based on evolutionary computation technique. Multim. Tools Appl. 33(1): 91-108 (2007) - [j19]Bo Ma, Hui-yang Qu, Hau-San Wong:
Kernel clustering-based discriminant analysis. Pattern Recognit. 40(1): 324-327 (2007) - [j18]Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu:
Extracting gene regulation information for cancer classification. Pattern Recognit. 40(12): 3379-3392 (2007) - [j17]Zhiwen Yu, Hau-San Wong:
A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering. IEEE Trans. Multim. 9(4): 766-784 (2007) - [j16]Hau-San Wong, Bo Ma, Zhiwen Yu, Pui Fong Yeung, Horace Ho-Shing Ip:
3-D Head Model Retrieval Using a Single Face View Query. IEEE Trans. Multim. 9(5): 1026-1036 (2007) - [c40]Jiqi Zhang, Dingwen Wang, Hau-San Wong:
3D model representation using adaptive volumetric extended Gaussian image. CIVR 2007: 480-485 - [c39]Zhiwen Yu, Hau-San Wong:
Fast Gaussian Mixture Clustering for Skin Detection. ICIP (4) 2007: 341-344 - [c38]Zhiwen Yu, Hau-San Wong, Jiqi Zhang:
Gaussian Representation for 3D Point Based Head Model Classification Based on Generalized Minimax Algorithm. ICME 2007: 488-491 - [c37]Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong:
Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. ICNC (2) 2007: 329-333 - [c36]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 - [c35]Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang:
Image Segmentation Based on Cluster Ensemble. ISNN (3) 2007: 894-903 - [c34]Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong:
3D Head Model Classification based on Bayesian classifer. MLDM Posters 2007: 70-79 - [c33]Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong:
3D Head Model Classification based on Cluster Ensemble. MLDM Posters 2007: 80-89 - [c32]Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang:
A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram. MLDM 2007: 643-652 - [c31]Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li:
Content-Based 3D Model Retrieval Based on the Spatial Geometric Descriptor. PCM 2007: 685-694 - [c30]Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li:
3D Model Retrieval Based on Multi-Shell Extended Gaussian Image. VISUAL 2007: 426-437 - 2006
- [j15]Ling Guan, Horace Ho-Shing Ip, Paul H. Lewis, Hau-San Wong, Paisarn Muneesawang:
Information Mining from Multimedia Databases. EURASIP J. Adv. Signal Process. 2006 (2006) - [j14]Bo Ma, Hau-San Wong:
2D clustering based discriminant analysis for 3D head model classification. Pattern Recognit. 39(3): 491-494 (2006) - [j13]Xiao-Yuan Jing, Hau-San Wong, David Zhang:
Face recognition based on 2D Fisherface approach. Pattern Recognit. 39(4): 707-710 (2006) - [j12]Xiao-Yuan Jing, Hau-San Wong, David Zhang:
Face recognition based on discriminant fractional Fourier feature extraction. Pattern Recognit. Lett. 27(13): 1465-1471 (2006) - [c29]Xin Tong, Hau-San Wong, Bo Ma:
3D head model classification using optimized EGI. Three-Dimensional Image Capture and Applications 2006: 60560M - [c28]Fuyuan Hu, Hau-San Wong, Zhi Qiang Liu, Hui-yang Qu:
Labeling of Human Motion by Constraint-Based Genetic Algorithm. CIS 2006: 105-114 - [c27]Hui-yang Qu, Hau-San Wong, Bo Ma:
Learning Graphical Model for Human Motion Characterization Using Genetic Optimization. ICARCV 2006: 1-6 - [c26]Zhiwen Yu, Hau-San Wong:
Fast Gaussian Mixture Clustering for Skin Detection. ICIP 2006: 2997-3000 - [c25]Zhiwen Yu, Hau-San Wong:
GPCD: Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games. ICME 2006: 1025-1028 - [c24]Zhiwen Yu, Hau-San Wong:
FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA. ICME 2006: 1913-1916 - [c23]Zhiwen Yu, Hau-San Wong:
An efficient local clustering approach for simplification of 3D point-based computer graphics models. ICME 2006: 2065-2068 - [c22]Xin Tong, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip:
Evolutionary Optimization of Feature Representation for 3D Point-based. ICPR (2) 2006: 707-710 - [c21]Zhiwen Yu, Hau-San Wong:
GCA: A real-time grid-based clustering algorithm for large data set. ICPR (2) 2006: 740-743 - [c20]Zhiwen Yu, Hau-San Wong:
Genetic-based K-means algorithm for selection of feature variables. ICPR (2) 2006: 744-747 - [c19]Zhiwen Yu, Hau-San Wong:
Mining Uncertain Data in Low-dimensional Subspace. ICPR (2) 2006: 748-751 - [c18]Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang:
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330 - [c17]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336 - [c16]Zhiwen Yu, Hau-San Wong:
Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM. IJCNN 2006: 4013-4020 - [c15]Jiqi Zhang, Hau-San Wong, Zhiwen Yu:
3D model metrieval based on volumetric extended gaussian image and hierarchical self organizing map. ACM Multimedia 2006: 121-124 - [c14]Bo Ma, Hui-yang Qu, Hau-San Wong, Yao Lu:
3D Head Model Classification Using KCDA. PCM 2006: 1008-1017 - [c13]Zhiwen Yu, Hau-San Wong:
Improving the selectivity of range query for image databases based on a probabilistic framework. SMC 2006: 4326-4330 - [r1]Hau-San Wong, Horace Ho-Shing Ip:
Human Computer Interaction. Encyclopedia of Multimedia 2006 - 2005
- [j11]De-Shuang Huang, Horace Ho-Shing Ip, Ken C. K. Law, Zheru Chi, Hau-San Wong:
A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. Appl. Math. Comput. 162(3): 1183-1200 (2005) - [j10]Xiao-Yuan Jing, Hau-San Wong, David Zhang, Yuan Yan Tang:
An uncorrelated fisherface approach. Neurocomputing 67: 328-334 (2005) - [j9]Hau-San Wong, Kent K. T. Cheung, Chun-Ip Chiu, Horace Ho-Shing Ip:
Application of evolutionary strategies for 3D graphical model categorization and retrieval. Multim. Syst. 10(5): 422-431 (2005) - [j8]Hau-San Wong, Horace Ho-Shing Ip, Lawrence P. L. Iu, Kent K. T. Cheung, Ling Guan:
Transformation of Compressed Domain Features for Content-Based Image Indexing and Retrieval. Multim. Tools Appl. 26(1): 5-26 (2005) - [c12]Apple W. P. Fok, Hau-San Wong, Y. S. Chen:
Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment. ICME 2005: 201-204 - [c11]Pui Fong Yeung, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip:
Relevance Vector Machine for Content-Based Retrieval of 3D Head Models. IV 2005: 425-429 - [c10]Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip:
Hierarchical Indexing for 3D Head Model Retrieval Based on Kernel PCA. IV 2005: 848-853 - 2004
- [j7]Hau-San Wong, Kent K. T. Cheung, Horace Ho-Shing Ip:
3D head model classification by evolutionary optimization of the Extended Gaussian Image representation. Pattern Recognit. 37(12): 2307-2322 (2004) - [c9]Chun-Ip Chia, Hau-San Wong, Horace Ho-Shing Ip:
Compressed domain feature transformation using evolutionary strategies for image classification. ICIP 2004: 429-432 - [c8]Hau-San Wong, Kent K. T. Cheung, Yang Sha, Horace Ho-Shing Ip:
Indexing and Retrieval of 3D Models by Unsupervised Clustering with Hierarchical SOM. ICPR (4) 2004: 613-616 - [c7]Pui Fong Yeung, Hau-San Wong, Horace Ho-Shing Ip:
Content-Based Retrieval of 3D Head Models Using a Single Face View Query. PCM (2) 2004: 924-930 - 2003
- [j6]Ronald Chung, Hau-San Wong:
Polyhedral Object Localization in an Image by Referencing to a Single Model View. Int. J. Comput. Vis. 51(2): 139-163 (2003) - [c6]Hau-San Wong, Kent K. T. Cheung, Horace Ho-Shing Ip:
An evolutionary optimization approach for 3D human head model classification. Multimedia Information Retrieval 2003: 94-101 - 2001
- [j5]Min Wu, Robert A. Joyce, Hau-San Wong, Ling Guan, Sun-Yuan Kung:
Dynamic resource allocation via video content and short-term traffic statistics. IEEE Trans. Multim. 3(2): 186-199 (2001) - [j4]Hau-San Wong, Ling Guan:
A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture. IEEE Trans. Neural Networks 12(3): 516-531 (2001) - 2000
- [j3]Hau-San Wong, Terry Caelli, Ling Guan:
A model-based neural network for edge characterization. Pattern Recognit. 33(3): 427-444 (2000) - [j2]Hau-San Wong, Ling Guan:
Application of evolutionary programming to adaptive regularization in image restoration. IEEE Trans. Evol. Comput. 4(4): 309-326 (2000) - [c5]Hau-San Wong, Ling Guan:
Characterization of Perceptual Importance for Object-Based Image Segmentation. ICIP 2000: 54-57
1990 – 1999
- 1999
- [c4]Hau-San Wong, Terry Caelli, Ling Guan:
Edge characterization using a model-based neural network. ICASSP 1999: 1109-1112 - [c3]Hau-San Wong, Ling Guan:
A Fuzzy Model-Based Neural Network for Adaptive Regularization in Image Restoration. ICIP (1) 1999: 391-395 - 1998
- [j1]Hau-San Wong, Ling Guan:
Adaptive regularization in image restoration by unsupervised learning. J. Electronic Imaging 7(1): 211-221 (1998) - [c2]Ling Guan, Stuart W. Perry, Raniero Romagnoli, Hau-San Wong, Haosong Kong:
Neural vision system and applications in image processing and analysis. ICASSP 1998: 1245-1248 - 1995
- [c1]Hau-San Wong, L. Guan, H. Hong:
Compression of digital mammogram databases using a near-lossless scheme. ICIP 1995: 21-24
Coauthor Index
Horace Ho-Shing Ip
aka: Horace H. S. Ip
aka: Horace H. S. Ip
[j121] [j120] [j118] [j116] [j115] [c107] [c106] [c105] [c104] [c103] [c101] [c100] [c99] [j114] [j113] [j112] [j111] [j110] [c98] [c97] [c96] [c95] [c94] [j109] [j108] [j107] [j106] [j105] [j104] [j103] [j101] [j100] [j97] [j96] [j94] [c93] [c92] [c91] [j92] [j91] [j89] [j88] [c90] [c89] [c88] [c87] [c86] [c84] [c83] [j85] [j84] [j83] [j81] [j80] [j79] [c82] [c81] [c80] [j76] [j75] [j71] [j69] [c79] [c78] [c77] [c76] [c74] [j68] [j66] [j63] [j61] [c73] [c72] [c71] [c70] [j55] [j53] [c67] [j44] [j43] [j38] [j35] [c58] [c56]
[j115] [j111] [c98] [c95] [j109] [j102] [j101] [j100] [j99] [j98] [j95] [j94] [j93] [j92] [j90] [j87] [c89] [c86] [c85] [j86] [j85] [j83] [j82] [j81] [j80] [j78] [c82] [j73] [j72] [j71] [j70] [j69] [c79] [c78] [c77] [j65] [j64] [j62] [j61] [j59] [j58] [j57] [j55] [j53] [c67] [c66] [j50] [j47] [j46] [j45] [j44] [c64] [j42] [j41] [j40] [j36] [j34] [j33] [j32] [j31] [j29] [j28] [c58] [c56] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [j22] [j17] [j16] [c39] [c38] [c35] [c34] [c33] [c32] [c26] [c25] [c24] [c23] [c21] [c20] [c19] [c16] [c15] [c13]
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