Wenming Cao

40 papers A* 3A 1Journal 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Med-D3CG: wavelet-based diffusion in the difference domain for cross-modality medical image generation.
Expert Syst. Appl.
Guangzhen Zhu, Midi Wan, Wenming Cao, Zhiwen Yu, Jin Hu, Bing Li, Xiaotao Fan
2025 J jnl
Advancing deep clustering through the synergy of contrastive learning and capsule-GAN.
Knowl. Based Syst.
Wenming Cao, Zhongfan Zhang, Man Li, Zhiwen Yu
2025 J jnl
EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost.
IEEE Trans. Neural Networks Learn. Syst.
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2025 J jnl
Exploring contrastive learning and CLIP for improving image clustering.
Inf. Sci.
Mengjuan Li, Wenming Cao, Zhiwen Yu, Hangjun Che
2025 J jnl
Heterogeneous Propagation-Based Recommendation Systems with Knowledge Graph Attention Network.
IEEE Trans. Comput. Soc. Syst.
Man Li, Ming-yang Jiang, Wenming Cao, Mingming Yang, Zhiwen Yu
2025 J jnl
Model Adaptation: Unsupervised Domain Adaptation without Source Data.
CoRR
Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2025 J jnl
SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Zhijie Zhong, Zhiwen Yu, Xing Xi, Yue Xu, Wenming Cao, Yiyuan Yang, Kaixiang Yang, Jane You
2024 J jnl
Broad Learning Autoencoder With Graph Structure for Data Clustering.
IEEE Trans. Knowl. Data Eng.
Zhiwen Yu, Zhijie Zhong, Kaixiang Yang, Wenming Cao, C. L. Philip Chen
2024 A* conf
RPSC: Robust Pseudo-Labeling for Semantic Clustering.
AAAI
Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu
2023 J jnl
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification.
IEEE Trans. Knowl. Data Eng.
Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen
2022 J jnl
Adaptive Dense Ensemble Model for Text Classification.
IEEE Trans. Cybern.
Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen
2022 J jnl
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022 J jnl
GAN-Based Enhanced Deep Subspace Clustering Networks.
IEEE Trans. Knowl. Data Eng.
Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong
2022 J jnl
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data.
IEEE Trans. Knowl. Data Eng.
Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Jane You, Hau-San Wong
2022 J jnl
Inner-Imaging Networks: Put Lenses Into Convolutional Structure.
IEEE Trans. Cybern.
Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu, Wendy Hall
2022 J jnl
Progressive Hybrid Classifier Ensemble for Imbalanced Data.
IEEE Trans. Syst. Man Cybern. Syst.
Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Hau-San Wong, Jane You, Guoqiang Han
2022 J jnl
Semisupervised Classification With Novel Graph Construction for High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst.
Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong
2022 J jnl
Semisupervised Multiple Choice Learning for Ensemble Classification.
IEEE Trans. Cybern.
Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2022 J jnl
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022 J jnl
The residual generator: An improved divergence minimization framework for GAN.
Pattern Recognit.
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2022 J jnl
Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.
Pattern Recognit.
Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong
2022 J jnl
αβ-GAN: Robust generative adversarial networks.
Inf. Sci.
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2021 J jnl
Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification.
IEEE Trans. Knowl. Data Eng.
Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Jane You
2021 J jnl
An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering.
IEEE Trans. Cybern.
Dan Dai, Juan Tang, Zhiwen Yu, Hau-San Wong, Jane You, Wenming Cao, Yang Hu, C. L. Philip Chen
2021 J jnl
DDAT: Dual domain adaptive translation for low-resolution face verification in the wild.
Pattern Recognit.
Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong
2021 J jnl
Fast and Effective Active Clustering Ensemble Based on Density Peak.
IEEE Trans. Neural Networks Learn. Syst.
Yifan Shi, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Guoqiang Han
2021 A conf
Unsupervised Ensemble Learning Via Network Generation.
ICME
Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong
2020 J jnl
A survey on ensemble learning.
Frontiers Comput. Sci.
Xibin Dong, Zhiwen Yu, Wenming Cao, Yifan Shi, Qianli Ma
2020 J jnl
Adaptive Regularized Semi-Supervised Clustering Ensemble.
IEEE Access
Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
2020 J jnl
Generating Target Image-Label Pairs for Unsupervised Domain Adaptation.
IEEE Trans. Image Process.
Rui Li, Wenming Cao, Si Wu, Hau-San Wong
2020 J jnl
Hybrid Classifier Ensemble for Imbalanced Data.
IEEE Trans. Neural Networks Learn. Syst.
Kaixiang Yang, Zhiwen Yu, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You
2020 J jnl
Hybrid Dimensionality Reduction Forest With Pruning for High-Dimensional Data Classification.
IEEE Access
Weihong Chen, Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Guoqiang Han
2020 J jnl
Joint subspace and discriminative learning for self-paced domain adaptation.
Knowl. Based Syst.
Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2020 A* conf
Model Adaptation: Unsupervised Domain Adaptation Without Source Data.
CVPR
Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2020 J jnl
Simplified unsupervised image translation for semantic segmentation adaptation.
Pattern Recognit.
Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong
2019 J jnl
Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong
2019 A* conf
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks.
AAAI
Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong
2019 J jnl
Inner-Imaging Convolutional Networks.
CoRR
Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu
2019 J jnl
Unsupervised Multi-task Learning with Hierarchical Data Structure.
Pattern Recognit.
Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong
2018 J jnl
Metabolize Neural Network.
CoRR
Dan Dai, Zhiwen Yu, Yang Hu, Wenming Cao, Mingnan Luo