Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Xiaorong Pu; Xiaofeng Zhu 001; Ming Zeng 009; Lifang He 001 (ICCV, 2021)

Self-supervised Discriminative Feature Learning for Multi-view Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Zhimeng Yang; Lili Pan 001; Yang Yang 002; Xiaorong Pu (CoRR, 2021)

Contrastive Multi-Modal Clustering. - Jie Xu 044; Huayi Tang; Yazhou Ren 001; Xiaofeng Zhu 001; Lifang He 001 (CoRR, 2021)

Deep embedded multi-view clustering with collaborative training. - Jie Xu 044; Yazhou Ren 001; Guofeng Li; Lili Pan 001; Ce Zhu; Zenglin Xu (Inf. Sci., 2021)

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. - Jie Xu 044; Chao Li 034; Yazhou Ren 001; Liang Peng; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 001 (AAAI, 2022)

Multi-level Feature Learning for Contrastive Multi-view Clustering. - Jie Xu 044; Huayi Tang; Yazhou Ren 001; Liang Peng; Xiaofeng Zhu 001; Lifang He 001 (CVPR, 2022)

Variational Graph Generator for Multi-View Graph Clustering. - Jianpeng Chen; Yawen Ling; Jie Xu 044; Yazhou Ren 001; Shudong Huang; Xiaorong Pu; Lifang He 001 (CoRR, 2022)

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. - Yawen Ling; Jianpeng Chen; Yazhou Ren 001; Xiaorong Pu; Jie Xu 044; Xiaofeng Zhu 001; Lifang He 001 (AAAI, 2023)

Federated Deep Multi-View Clustering with Global Self-Supervision. - Xinyue Chen; Jie Xu 044; Yazhou Ren 001; Xiaorong Pu; Ce Zhu; Xiaofeng Zhu 001; Zhifeng Hao; Lifang He 001 (ACM Multimedia, 2023)

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. - Jie Xu 044; Shuo Chen 003; Yazhou Ren 001; Xiaoshuang Shi; Hengtao Shen; Gang Niu 001; Xiaofeng Zhu 001 (NeurIPS, 2023)

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. - Jie Xu 044; Gang Niu 001; Xiaolong Wang; Yazhou Ren 001; Lei Feng 006; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (CoRR, 2023)

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. - Jie Xu 044; Chao Li 034; Liang Peng; Yazhou Ren 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (IEEE Trans. Image Process., 2023)

GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis. - Liang Peng; Nan Wang; Jie Xu 044; Xiaofeng Zhu 001; Xiaoxiao Li (IEEE Trans. Medical Imaging, 2023)

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. - Zhimeng Yang; Yazhou Ren 001; Zirui Wu; Ming Zeng 009; Jie Xu 044; Yang Yang 002; Xiaorong Pu; Philip S. Yu; Lifang He 001 (Neurocomputing, 2023)

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Zhimeng Yang; Lili Pan 001; Yang Yang 002; Xiaorong Pu; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

UNTIE: Clustering analysis with disentanglement in multi-view information fusion. - Jie Xu 044; Yazhou Ren 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (Inf. Fusion, 2023)

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios. - Jie Xu 044; Yazhou Ren 001; Xiaolong Wang; Lei Feng 006; Zheng Zhang 006; Gang Niu 001; Xiaofeng Zhu 001 (CVPR, 2024)

Simple Contrastive Multi-View Clustering with Data-Level Fusion. - Caixuan Luo; Jie Xu 044; Yazhou Ren 001; Junbo Ma; Xiaofeng Zhu 001 (IJCAI, 2024)

Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. - Xinyue Chen; Yazhou Ren 001; Jie Xu 044; Fangfei Lin; Xiaorong Pu; Yang Yang 002 (NeurIPS, 2024)

A novel federated multi-view clustering method for unaligned and incomplete data fusion. - Yazhou Ren 001; Xinyue Chen; Jie Xu 044; Jingyu Pu; Yonghao Huang; Xiaorong Pu; Ce Zhu; Xiaofeng Zhu 001; Zhifeng Hao; Lifang He 001 (Inf. Fusion, 2024)

GRLC: Graph Representation Learning With Constraints. - Liang Peng; Yujie Mo; Jie Xu 044; Jialie Shen 001; Xiaoshuang Shi; Xiaoxiao Li; Heng Tao Shen; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation. - Jie Xu 044; Na Zhao; Gang Niu 001; Masashi Sugiyama; Xiaofeng Zhu 001 (CoRR, 2025)

Deep Clustering: A Comprehensive Survey. - Yazhou Ren 001; Jingyu Pu; Zhimeng Yang; Jie Xu 044; Guofeng Li; Xiaorong Pu; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework. - Jincheng Huang 005; Jie Xu 044; Xiaoshuang Shi; Ping Hu 001; Lei Feng 006; Xiaofeng Zhu 001 (CoRR, 2025)

Variational Graph Generator for Multiview Graph Clustering. - Jianpeng Chen; Yawen Ling; Jie Xu 044; Yazhou Ren 001; Shudong Huang; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)