Metric Multi-View Graph Clustering. - Yuze Tan; Yixi Liu; Hongjie Wu; Jiancheng Lv 001; Shudong Huang (AAAI, 2023)

Sample-level Multi-view Graph Clustering. - Yuze Tan; Yixi Liu; Shudong Huang; Wentao Feng; Jiancheng Lv 001 (CVPR, 2023)

Lifelong Multi-view Spectral Clustering. - Hecheng Cai; Yuze Tan; Shudong Huang; Jiancheng Lv 001 (IJCAI, 2023)

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. - Yixi Liu; Yuze Tan; Hongjie Wu; Shudong Huang; Yazhou Ren 001; Jiancheng Lv 001 (ACM Multimedia, 2023)

Smooth representation learning from multi-view data. - Shudong Huang; Yixi Liu; Hecheng Cai; Yuze Tan; Chenwei Tang; Jiancheng Lv 001 (Inf. Fusion, 2023)

An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. - Yuze Tan; Hecheng Cai; Shudong Huang; Shuping Wei; Fan Yang; Jiancheng Lv 001 (AAAI, 2024)

Euclidean Distance is Not Your Swiss Army Knife. - Yuze Tan; Yixi Liu; Hongjie Wu; Shudong Huang; Zenglin Xu; Ivor W. Tsang; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2024)

Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization. - Yuze Tan; Yanjie Gou; Kouying Xue; Shudong Huang; Yi Hu; Ivor W. Tsang; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2025)