Ensemble Clustering by Noise-Aware Graph Decomposition. - Man-Sheng Chen; Dong Huang 001; Mingkai He; Chang-Dong Wang 001 (ICIT, 2018)

Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (1), 2019)

Multi-View Clustering in Latent Embedding Space. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (AAAI, 2020)

Relaxed multi-view clustering in latent embedding space. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (Inf. Fusion, 2021)

Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. - Chang-Dong Wang 001; Man-Sheng Chen; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Orthogonal Multi-view Subspace Clustering. - Man-Sheng Chen; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Philip S. Yu (KDD, 2022)

Adaptively-weighted Integral Space for Fast Multiview Clustering. - Man-Sheng Chen; Tuo Liu; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (ACM Multimedia, 2022)

Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation. - Ting-Ting Su; Zhenyu He 009; Man-Sheng Chen; Chang-Dong Wang 001 (ECML/PKDD (1), 2022)

Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. - Man-Sheng Chen; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (PRCV (2), 2022)

Dual Information Enhanced Multi-view Attributed Graph Clustering. - Jia-Qi Lin; Man-Sheng Chen; Xi-Ran Zhu; Chang-Dong Wang 001; Haizhang Zhang (CoRR, 2022)

Representation Learning in Multi-view Clustering: A Literature Review. - Man-Sheng Chen; Jia-Qi Lin; Xiang-Long Li; Bao-Yu Liu; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (Data Sci. Eng., 2022)

Multiview Subspace Clustering With Grouping Effect. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Philip S. Yu (IEEE Trans. Cybern., 2022)

On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. - Man-Sheng Chen; Jia-Qi Lin; Chang-Dong Wang 001; Wudong Xi; Dong Huang 001 (ACM Multimedia, 2023)

Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. - Man-Sheng Chen; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Knowl. Data Eng., 2023)

Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. - Zhi-Yuan Li; Man-Sheng Chen; Yuefang Gao; Chang-Dong Wang 001 (Data Sci. Eng., 2023)

HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. - Man-Sheng Chen; Xiaosha Cai; Chang-Dong Wang 001; Dong Huang 001; Min Chen 003; Mohsen Guizani (ICDM, 2024)

Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. - Ru-Bin Li; Man-Sheng Chen; Xin-Yu Ding; Changdong Wang 001; Sihong Xie; Shuangyin Liu; Min Chen 003; Mohsen Guizani (ICDM, 2024)

MIGP: Metapath Integrated Graph Prompt Neural Network. - Pei-Yuan Lai; Qing-Yun Dai; Yi-Hong Lu; Zeng-Hui Wang; Man-Sheng Chen; Chang-Dong Wang 001 (Neural Networks, 2024)

A Tensor Approach for Uncoupled Multiview Clustering. - Jia-Qi Lin; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (IEEE Trans. Cybern., 2024)

Refining Graph Structure for Incomplete Multi-View Clustering. - Xiang-Long Li; Man-Sheng Chen; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. - Jia-Qi Lin; Xiang-Long Li; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data. - Xiao-Kai Cao; Man-Sheng Chen; Chang-Dong Wang 001; Jian-Huang Lai; Qiong Huang 001; C. L. Philip Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Sparse Graph Tensor Learning for Multi-View Spectral Clustering. - Man-Sheng Chen; Zhi-Yuan Li; Jia-Qi Lin; Chang-Dong Wang 001; Dong Huang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Concept Factorization Based Multiview Clustering for Large-Scale Data. - Man-Sheng Chen; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

A pilot study for virus-induced neural network remodeling in sudden hearing loss and tinnitus: A graph attention network approach. - Chanmei Fang; Canming Cui; Chang-Dong Wang 001; Jiahong Li; Weiwei Cai; Hongyi Chen; Man-Sheng Chen; Jae-Jin Song; Yu-Chen Chen; Yuexin Cai; Maojin Liang (Comput. Biol. Medicine, 2025)

Triplets-based large-scale multi-view spectral clustering. - Tianchuan Yang; Chang-Dong Wang 001; Jipeng Guo 001; Xiangcheng Li 001; Man-Sheng Chen; Shuping Dang; Haiqiang Chen (Inf. Fusion, 2025)

Motif-aware curriculum learning for node classification. - Xiaosha Cai; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (Neural Networks, 2025)

Interpretable Staging Prediction of Liver Cancer Based on Joint-Knowledge Network. - Xuecong Zheng; Ya Li; Zhiqi Wu; Yiyang Tang; Pei-Yuan Lai; Man-Sheng Chen; Hongyi Chen; Chang-Dong Wang 001; Jiaping Li; Qingyun Dai (IEEE J. Biomed. Health Informatics, 2025)

Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders. - Man-Sheng Chen; Xi-Ran Zhu; Jia-Qi Lin; Chang-Dong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dual Information Enhanced Multiview Attributed Graph Clustering. - Jia-Qi Lin; Man-Sheng Chen; Xi-Ran Zhu; Chang-Dong Wang 001; Haizhang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Graph Prompt Clustering. - Man-Sheng Chen; Pei-Yuan Lai; De-Zhang Liao; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

"Pre-Train, Prompt" Framework to Boost Graph Neural Networks Performance in EEG Analysis. - Canming Cui; Hongyi Chen; Man-Sheng Chen; Jiahong Li; Zhaopeng Tong; Chanmei Fang; Chang-Dong Wang 001; Yuexin Cai (IEEE J. Biomed. Health Informatics, 2025)

Contrastive Ensemble Clustering. - Man-Sheng Chen; Jia-Qi Lin; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Trans. Neural Networks Learn. Syst., 2025)