Learning with Partially Shared Features for Multi-Task Learning. - Cheng Liu 001; Wen-Ming Cao 002; Chutao Zheng; Hau-San Wong (ICONIP (5), 2017)

Locality-Sensitive Term Weighting for Short Text Clustering. - Chutao Zheng; Sheng Qian; Wen-Ming Cao 002; Hau-San Wong (ICONIP (1), 2017)

Efficient Direct Structured Subspace Clustering. - Wen-ming Cao 002; Rui Li 045; Sheng Qian; Si Wu 002; Hau-San Wong (ICONIP (4), 2018)

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. - Rui Li 045; Wen-ming Cao 002; Sheng Qian; Hau-San Wong; Si Wu 002 (ICPR, 2018)

Self-supervised GAN for Image Generation by Correlating Image Channels. - Sheng Qian; Wen-ming Cao 002; Rui Li 045; Si Wu 002; Hau-San Wong (PCM (2), 2018)

Coupled Learning for Image Generation and Latent Representation Inference Using MMD. - Sheng Qian; Wen-ming Cao 002; Rui Li 045; Si Wu 002; Hau-San Wong (PCM (2), 2018)

Metabolize Neural Network. - Dan Dai; Zhiwen Yu 002; Yang Hu; Wenming Cao 002; Mingnan Luo (CoRR, 2018)

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. - Si Wu 002; Jian Zhong; Wenming Cao 002; Rui Li 045; Zhiwen Yu 002; Hau-San Wong (AAAI, 2019)

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. - Sheng Qian; Guanyue Li; Wen-Ming Cao 002; Cheng Liu 001; Si Wu 002; Hau-San Wong (IJCAI, 2019)

Inner-Imaging Convolutional Networks. - Yang Hu; Guihua Wen; Mingnan Luo; Dan Dai; Wenming Cao 002; Zhiwen Yu 002 (CoRR, 2019)

Unsupervised Multi-task Learning with Hierarchical Data Structure. - Wenming Cao 002; Sheng Qian; Si Wu 002; Hau-San Wong (Pattern Recognit., 2019)

Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering. - Wenming Cao 002; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2019)

Model Adaptation: Unsupervised Domain Adaptation Without Source Data. - Rui Li 045; Qianfen Jiao; Wenming Cao 002; Hau-San Wong; Si Wu 002 (CVPR, 2020)

Hybrid Dimensionality Reduction Forest With Pruning for High-Dimensional Data Classification. - Weihong Chen; Yuhong Xu; Zhiwen Yu 002; Wenming Cao 002; C. L. Philip Chen; Guoqiang Han (IEEE Access, 2020)

Adaptive Regularized Semi-Supervised Clustering Ensemble. - Rui Luo; Zhiwen Yu 002; Wenming Cao 002; Cheng Liu 001; Hau-San Wong; C. L. Philip Chen (IEEE Access, 2020)

A survey on ensemble learning. - Xibin Dong; Zhiwen Yu 002; Wenming Cao 002; Yifan Shi; Qianli Ma 001 (Frontiers Comput. Sci., 2020)

Joint subspace and discriminative learning for self-paced domain adaptation. - Cheng Liu 001; Si Wu 002; Wenming Cao 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (Knowl. Based Syst., 2020)

Simplified unsupervised image translation for semantic segmentation adaptation. - Rui Li 045; Wenming Cao 002; Qianfen Jiao; Si Wu 002; Hau-San Wong (Pattern Recognit., 2020)

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. - Rui Li 045; Wenming Cao 002; Si Wu 002; Hau-San Wong (IEEE Trans. Image Process., 2020)

Hybrid Classifier Ensemble for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; Xin Wen; Wenming Cao 002; C. L. Philip Chen; Hau-San Wong; Jane You (IEEE Trans. Neural Networks Learn. Syst., 2020)

Unsupervised Ensemble Learning Via Network Generation. - Zhongfan Zhang; Wenming Cao 002; Cheng Liu 001; Rui Li 045; Qianfen Jiao; Zhiwen Yu 002; C. L. Philip Chen; Hau-San Wong (ICME, 2021)

DDAT: Dual domain adaptive translation for low-resolution face verification in the wild. - Qianfen Jiao; Rui Li 045; Wenming Cao 002; Jian Zhong; Si Wu 002; Hau-San Wong (Pattern Recognit., 2021)

An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering. - Dan Dai; Juan Tang; Zhiwen Yu 002; Hau-San Wong; Jane You; Wenming Cao 002; Yang Hu; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification. - Yuhong Xu; Zhiwen Yu 002; Wenming Cao 002; C. L. Philip Chen; Jane You (IEEE Trans. Knowl. Data Eng., 2021)

KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. - Mohamed Azzam; Wenhao Wu; Wen-ming Cao 002; Si Wu 002; Hau-San Wong (IEEE Trans. Multim., 2021)

Fast and Effective Active Clustering Ensemble Based on Density Peak. - Yifan Shi; Zhiwen Yu 002; Wenming Cao 002; C. L. Philip Chen; Hau-San Wong; Guoqiang Han (IEEE Trans. Neural Networks Learn. Syst., 2021)

αβ-GAN: Robust generative adversarial networks. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (Inf. Sci., 2022)

Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. - Wenming Cao 002; Zhongfan Zhang; Cheng Liu 001; Rui Li 045; Qianfen Jiao; Zhiwen Yu 002; Hau-San Wong (Pattern Recognit., 2022)

The residual generator: An improved divergence minimization framework for GAN. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (Pattern Recognit., 2022)

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. - Cheng Liu 001; Wenming Cao 002; Si Wu 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Inner-Imaging Networks: Put Lenses Into Convolutional Structure. - Yang Hu; Guihua Wen; Mingnan Luo; Dan Dai; Wenming Cao 002; Zhiwen Yu 002; Wendy Hall 001 (IEEE Trans. Cybern., 2022)

Adaptive Dense Ensemble Model for Text Classification. - Yuhong Xu; Zhiwen Yu 002; Wenming Cao 002; C. L. Philip Chen (IEEE Trans. Cybern., 2022)

Semisupervised Multiple Choice Learning for Ensemble Classification. - Jian Zhong; Xiangping Zeng; Wenming Cao 002; Si Wu 002; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Cybern., 2022)

Incremental Weighted Ensemble Broad Learning System for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Wenming Cao 002; Jane You; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2022)

GAN-Based Enhanced Deep Subspace Clustering Networks. - Zhiwen Yu 002; Zhongfan Zhang; Wenming Cao 002; Cheng Liu 001; C. L. Philip Chen; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2022)

Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. - Cheng Liu 001; Wenming Cao 002; Si Wu 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. - Zhiwen Yu 002; Fengxu Ye; Kaixiang Yang; Wenming Cao 002; C. L. Philip Chen; Lianglun Cheng; Jane You; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Progressive Hybrid Classifier Ensemble for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Wenming Cao 002; Hau-San Wong; Jane You; Guoqiang Han (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification. - Yuhong Xu; Zhiwen Yu 002; Wenming Cao 002; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2023)

RPSC: Robust Pseudo-Labeling for Semantic Clustering. - Sihang Liu 007; Wenming Cao 002; Ruigang Fu; Kaixiang Yang; Zhiwen Yu 002 (AAAI, 2024)

Broad Learning Autoencoder With Graph Structure for Data Clustering. - Zhiwen Yu 002; Zhijie Zhong; Kaixiang Yang; Wenming Cao 002; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2024)

Exploring contrastive learning and CLIP for improving image clustering. - Mengjuan Li; Wenming Cao 002; Zhiwen Yu 002; Hangjun Che (Inf. Sci., 2025)

EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)