Shared-Attribute Multi-Graph Clustering with Global Self-Attention. - Jianpeng Chen; Zhimeng Yang; Jingyu Pu; Yazhou Ren 001; Xiaorong Pu; Li Gao; Lifang He 001 (ICONIP (1), 2022)

Deep Multi-view Subspace Clustering with Anchor Graph. - Chenhang Cui; Yazhou Ren 001; Jingyu Pu; Xiaorong Pu; Lifang He 001 (IJCAI, 2023)

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. - Chenhang Cui; Yazhou Ren 001; Jingyu Pu; Jiawei Li; Xiaorong Pu; Tianyi Wu; Yutao Shi; Lifang He 001 (NeurIPS, 2023)

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. - Jingyu Pu; Chenhang Cui; Xinyue Chen; Yazhou Ren 001; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He 001 (AAAI, 2024)

Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. - Yazhou Ren 001; Jingyu Pu; Chenhang Cui; Yan Zheng; Xinyue Chen; Xiaorong Pu; Lifang He 001 (IJCAI, 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)

Multi-modal isolated sign language recognition based on self-paced learning. - Yazhou Ren 001; Hongkai Li; Yuhao Li; Jingyu Pu; Xiaorong Pu; Siyuan Jing; Peng Jin; Lifang He 001 (Expert Syst. Appl., 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)