default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHau-San Wong
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j123]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
- [j122]Tianyi Chen, Xindian Wei, Lianxin Xie, Yunfei Zhang, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong:
SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. Briefings Bioinform. 25(6) (2024) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong:
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8655-8669 (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
[j123] [j122] [j121] [j119] [j117] [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]
[j117] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
