Continual Multi-view Clustering. - Xinhang Wan; Jiyuan Liu 003; Weixuan Liang; Xinwang Liu 002; Yi Wen 001; En Zhu (ACM Multimedia, 2022)

Auto-Weighted Multi-View Clustering for Large-Scale Data. - Xinhang Wan; Xinwang Liu 002; Jiyuan Liu 003; Siwei Wang 001; Yi Wen 001; Weixuan Liang; En Zhu; Zhe Liu 001; Lu Zhou 002 (AAAI, 2023)

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. - Yi Wen 001; Suyuan Liu; Xinhang Wan; Siwei Wang 001; Ke Liang 006; Xinwang Liu 002; Xihong Yang; Pei Zhang 008 (ACM Multimedia, 2023)

Scalable Incomplete Multi-View Clustering with Structure Alignment. - Yi Wen 001; Siwei Wang 001; Ke Liang 006; Weixuan Liang; Xinhang Wan; Xinwang Liu 002; Suyuan Liu; Jiyuan Liu 003; En Zhu (ACM Multimedia, 2023)

One-step Multi-view Clustering with Diverse Representation. - Xinhang Wan; Jiyuan Liu 003; Xinwang Liu 002; Siwei Wang 001; Yi Wen 001; Tianjiao Wan; Li Shen 007; En Zhu (CoRR, 2023)

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion. - Xinhang Wan; Jiyuan Liu 003; Ao Li 002; Xinwang Liu 002; En Zhu (CoRR, 2023)

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information. - Xinhang Wan; Jiyuan Liu 003; Xinwang Liu 002; Yi Wen 001; Hao Yu; Siwei Wang 001; Shengju Yu; Tianjiao Wan; Jun Wang 118; En Zhu (ICML, 2024)

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. - Shengju Yu; Zhibin Dong; Siwei Wang 001; Xinhang Wan; Yue Liu 008; Weixuan Liang; Pei Zhang 008; Wenxuan Tu; Xinwang Liu 002 (ICML, 2024)

A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering. - Qian Qu; Xinhang Wan; Weixuan Liang; Jiyuan Liu 003; Yu Feng; Huiying Xu; Xinwang Liu 002; En Zhu (ACM Multimedia, 2024)

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. - Jiyuan Liu 003; Xinwang Liu 002; Siqi Wang 001; Xingchen Hu; Qing Liao 001; Xinhang Wan; Yi Zhang 104; Xin Lv; Kunlun He (CoRR, 2024)

Fast Continual Multi-View Clustering With Incomplete Views. - Xinhang Wan; Bin Xiao 002; Xinwang Liu 002; Jiyuan Liu 003; Weixuan Liang; En Zhu (IEEE Trans. Image Process., 2024)

Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. - Jun Wang 118; Zhenglai Li; Chang Tang; Suyuan Liu; Xinhang Wan; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. - Yi Wen 001; Siwei Wang 001; Qing Liao 001; Weixuan Liang; Ke Liang 006; Xinhang Wan; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Incremental Nyström-based Multiple Kernel Clustering. - Yu Feng; Weixuan Liang; Xinhang Wan; Jiyuan Liu 003; Suyuan Liu; Qian Qu; Renxiang Guan; Huiying Xu; Xinwang Liu 002 (AAAI, 2025)

Incomplete Multi-view Clustering via Diffusion Contrastive Generation. - Yuanyang Zhang; Yijie Lin 001; Weiqing Yan; Li Yao; Xinhang Wan; Guangyuan Li; Chao Zhang; Guanzhou Ke; Jie Xu (AAAI, 2025)

Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. - Jiyuan Liu 003; Xinwang Liu 002; Chuankun Li; Xinhang Wan; Hao Tan; Yi Zhang 104; Weixuan Liang; Qian Qu; Yu Feng; Renxiang Guan; Ke Liang 006 (CVPR, 2025)

DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning. - Hao Yu; Chuan Ma 001; Xinhang Wan; Jun Wang 118; Tao Xiang 001; Meng Shen; Xinwang Liu 002 (NDSS, 2025)

One-Step Multi-View Clustering With Diverse Representation. - Xinhang Wan; Jiyuan Liu 003; Xinbiao Gan; Xinwang Liu 002; Siwei Wang 001; Yi Wen 001; Tianjiao Wan; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery. - Xinhang Wan; Jiyuan Liu 003; Qian Qu; Suyuan Liu; Chuyu Zhang; Fangdi Wang; Xinwang Liu 002; En Zhu; Kunlun He (CoRR, 2025)

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio. - Yaowen Hu; Wenxuan Tu; Yue Liu 008; Xinhang Wan; Junyi Yan; Taichun Zhou; Xinwang Liu 002 (CoRR, 2025)