| 2026 | AAAI | Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification. | Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong |
| 2025 | AAAI | SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration. | Tianyi Chen, Yunfei Zhang, Lianxin Xie, Wenjun Shen, Si Wu, Hau-San Wong |
| 2025 | AAAI | Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration. | Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong |
| 2025 | AAAI | RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. | Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong |
| 2025 | CVPR | Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding. | Wenbo Chen, Zhen Xu, Ruotao Xu, Si Wu, Hau-San Wong |
| 2025 | CVPR | Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration. | Lianxin Xie, Bingbing Zheng, Si Wu, Hau-San Wong |
| 2025 | ICASSP | Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis. | Rui Li, Tao Yang, Cheng Liu, Dazhi Jiang, Hau-San Wong, Si Wu |
| 2025 | ICML | Provable In-Context Vector Arithmetic via Retrieving Task Concepts. | Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki |
| 2024 | AAAI | RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. | Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong |
| 2024 | CVPR | Relational Matching for Weakly Semi-Supervised Oriented Object Detection. | Wenhao Wu, Hau-San Wong, Si Wu, Tianyou Zhang |
| 2024 | CVPR | Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. | Lianxin Xie, Bingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong |
| 2024 | CVPR | VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. | Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong |
| 2024 | CVPR | Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. | Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong |
| 2024 | ICML | Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. | Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong |
| 2024 | IJCAI | SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. | Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong |
| 2023 | CVPR | Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. | Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong |
| 2023 | CVPR | Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. | Wenhao Wu, Hau-San Wong, Si Wu |
| 2023 | CVPR | Blemish-aware and Progressive Face Retouching with Limited Paired Data. | Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong |
| 2023 | CVPR | Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. | Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong |
| 2023 | ICIP | Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. | Jian Zhong, Si Wu, Hau-San Wong |
| 2022 | ACCV | Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. | Wenhao Wu, Si Wu, Hau-San Wong |
| 2022 | CVPR | SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. | Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong |
| 2021 | AAAI | High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. | Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong |
| 2021 | CVPR | Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. | Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong |
| 2021 | ICCV | Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. | Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong |
| 2021 | IJCNN | Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. | Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong |
| 2020 | CVPR | Model Adaptation: Unsupervised Domain Adaptation Without Source Data. | Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu |
| 2020 | CVPR | Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. | Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong |
| 2020 | ICPR | Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. | Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu |
| 2019 | AAAI | Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. | Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong |
| 2019 | CVPR | Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. | Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong |
| 2019 | CVPR | Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. | Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong |
| 2019 | ICCV | Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. | Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong |
| 2019 | ICONIP | A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors. | Bo Yang, Qilin Mu, Hairui Zou, Yancheng Zeng, Hau-San Wong, Zesong Li, Peng Wang |
| 2019 | IJCAI | Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. | Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong |
| 2018 | ICONIP | Efficient Direct Structured Subspace Clustering. | Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong |
| 2018 | ICPR | Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. | Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu |
| 2017 | ICONIP | Learning with Partially Shared Features for Multi-Task Learning. | Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong |
| 2017 | ICONIP | Locality-Sensitive Term Weighting for Short Text Clustering. | Chutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong |
| 2016 | ICDE | Incremental semi-supervised clustering ensemble for high dimensional data clustering. | Zhiwen Yu, Peinan Luo, Si Wu, Guoqiang Han, Jane You, Hareton Leung, Hau-San Wong, Jun Zhang |
| 2015 | SMC | Iterative Term Weighting for Short Text Data. | Chutao Zheng, Cheng Liu, Hau-San Wong |
| 2014 | ICPR | Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles. | Le Li, Zhiwen Yu, Jiming Liu, Jane You, Hau-San Wong, Guoqiang Han |
| 2014 | IJCNN | AORS: Affinity-based outlier ranking score. | Shaohong Zhang, Hau-San Wong, Wen-Jun Shen, Dongqing Xie |
| 2014 | IJCNN | Semi-supervised clustering with pairwise and size constraints. | Shaohong Zhang, Hau-San Wong, Dongqing Xie |
| 2010 | ICPR | ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles. | Shaohong Zhang, Hau-San Wong |
| 2009 | ACCV | A Shape Derivative Based Approach for Crowd Flow Segmentation. | Si Wu, Zhiwen Yu, Hau-San Wong |
| 2009 | SMC | Active constrained clustering with multiple cluster representatives. | Shaohong Zhang, Hau-San Wong |
| 2008 | CEC | Knowledge learning based evolutionary algorithm for unconstrained optimization problem. | Zhiwen Yu, Dingwen Wang, Hau-San Wong |
| 2008 | CEC | Nearest neighbor evolutionary algorithm for constrained optimization problem. | Zhiwen Yu, Dingwen Wang, Hau-San Wong |
| 2008 | ICPR | Identification of phosphorylation sites using a hybrid classifier ensemble approach. | Zhiwen Yu, Zhongkai Deng, Hau-San Wong |
| 2008 | ICPR | Knowledge based cluster ensemble for 3D head model classification. | Zhiwen Yu, Hau-San Wong |
| 2008 | ICPR | Partial closure-based constrained clustering with order ranking. | Shaohong Zhang, Hau-San Wong |
| 2008 | IJCNN | Fuzzy cluster ensemble and its application on 3D head model classification. | Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang |
| 2008 | IJCNN | Knowledge based Cluster Ensemble. | Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang |
| 2008 | IJCNN | Ensemble based 3D human motion classification. | Zhiwen Yu, Xing Wang, Hau-San Wong |
| 2008 | IJCNN | Pattern mining based on local distribution. | Zhiwen Yu, Xing Wang, Hau-San Wong, Zhongkai Deng |
| 2007 | ICIP | Fast Gaussian Mixture Clustering for Skin Detection. | Zhiwen Yu, Hau-San Wong |
| 2007 | ICNC | Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. | Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong |
| 2007 | IJCNN | Prediction of Long-range Contacts from Sequence Profile. | Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang |
| 2007 | ISNN | Image Segmentation Based on Cluster Ensemble. | Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang |
| 2006 | CIS | Labeling of Human Motion by Constraint-Based Genetic Algorithm. | Fuyuan Hu, Hau-San Wong, Zhi Qiang Liu, Hui-yang Qu |
| 2006 | ICARCV | Learning Graphical Model for Human Motion Characterization Using Genetic Optimization. | Hui-yang Qu, Hau-San Wong, Bo Ma |
| 2006 | ICIP | Fast Gaussian Mixture Clustering for Skin Detection. | Zhiwen Yu, Hau-San Wong |
| 2006 | IJCNN | Long-Range Interaction Analysis using Principal Component Analysis. | Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang |
| 2006 | ICPR | Evolutionary Optimization of Feature Representation for 3D Point-based. | Xin Tong, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip |
| 2006 | ICPR | GCA: A real-time grid-based clustering algorithm for large data set. | Zhiwen Yu, Hau-San Wong |
| 2006 | ICPR | Genetic-based K-means algorithm for selection of feature variables. | Zhiwen Yu, Hau-San Wong |
| 2006 | ICPR | Mining Uncertain Data in Low-dimensional Subspace. | Zhiwen Yu, Hau-San Wong |
| 2006 | IJCNN | Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. | Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang |
| 2006 | IJCNN | Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM. | Zhiwen Yu, Hau-San Wong |
| 2006 | SMC | Improving the selectivity of range query for image databases based on a probabilistic framework. | Zhiwen Yu, Hau-San Wong |
| 2005 | IV | Hierarchical Indexing for 3D Head Model Retrieval Based on Kernel PCA. | Hau-San Wong, Bo Ma, Yang Sha, Horace Ho-Shing Ip |
| 2005 | IV | Relevance Vector Machine for Content-Based Retrieval of 3D Head Models. | Pui Fong Yeung, Hau-San Wong, Bo Ma, Horace Ho-Shing Ip |
| 2004 | ICIP | Compressed domain feature transformation using evolutionary strategies for image classification. | Chun-Ip Chia, Hau-San Wong, Horace Ho-Shing Ip |
| 2004 | ICPR | Indexing and Retrieval of 3D Models by Unsupervised Clustering with Hierarchical SOM. | Hau-San Wong, Kent K. T. Cheung, Yang Sha, Horace Ho-Shing Ip |
| 2003 | IJCNN | Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks. | De-Shuang Huang, Horace H. S. Ip, Ken C. K. Law, Hau-San Wong |
| 2000 | ICIP | Characterization of Perceptual Importance for Object-Based Image Segmentation. | Hau-San Wong, Ling Guan |
| 1999 | ICASSP | Edge characterization using a model-based neural network. | Hau-San Wong, Terry Caelli, Ling Guan |
| 1999 | ICIP | A Fuzzy Model-Based Neural Network for Adaptive Regularization in Image Restoration. | Hau-San Wong, Ling Guan |
| 1998 | ICASSP | Neural vision system and applications in image processing and analysis. | Ling Guan, Stuart W. Perry, Raniero Romagnoli, Hau-San Wong, Haosong Kong |
| 1995 | ICIP | Compression of digital mammogram databases using a near-lossless scheme. | Hau-San Wong, Ling Guan, H. Hong |