Suyuan Liu

Suyuan Liu

PRMI Lab

Selected Publications

Journals

  • Suyuan Liu, Siwei Wang, Ke Liang, Xueling Zhu, Jinyan Li, Xinwang Liu, and Xiaohong Chen. Propagating Cross-View Semantics for Multi-view Clustering: A Unified Anchor Refinement Paradigm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A, JCR Q1) [Paper]

  • Suyuan Liu, Lijun Zhang, Siwei Wang, Miaomiao Li, Xueling Zhu, and Xinwang Liu. Towards Scalable Multi-View Clustering without Predefined Clusters via Inter-Anchor Graph Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A, JCR Q1) [Paper]

  • Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, and En Zhu. Robust and Consistent Anchor Graph Learning for Multi-view Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A, JCR Q1) [Paper], [Code]

  • Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, and En Zhu. Fast Incomplete Multi-View Clustering With View-Independent Anchors. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B, JCR Q1) [Paper], [Code]

  • 刘溯源, 王思为, 唐厂, 周思航, 王思齐, 刘新旺. 基于加权锚点的多视图聚类算法. 自动化学报. (CCF Rank A) [Paper], [Code]

  • Qi Liu*, Suyuan Liu*, Jianhua Dai, Xueling Zhu, and Xinwang Liu. Linear Complexity Multi-View Unsupervised Feature Selection via Anchor-Based Feature Relationship Construction. IEEE Transactions on Image Processing (TIP) . (CCF Rank A, JCR Q1) [Paper], [Code]

  • Miaomiao Li, Suyuan Liu, Hengfu Yang, Xueling Zhu, and Xinwang Liu. Enhancing Anchor Representativeness and Stability in Scalable Multi-View Clustering with Prior Guidance. IEEE Transactions on Multimedia (TMM) . (CCF Rank A, JCR Q1) [Paper], [Code]

  • Qi Liu, Suyuan Liu, Xinwang Liu, and Jianhua Dai. Latent Semantics and Anchor Graph Multi-layer Learning for Multi-view Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE) . (CCF Rank A, JCR Q1) [Paper]

  • Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, and Xinwang Liu. Sparse Low-rank Multi-view Subspace Clustering with Consensus Anchors and Unified Bipartite Graph. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) . (CCF Rank B, JCR Q1) [Paper]

Conferences

  • Suyuan Liu, Shengfei Wei, Wenjing Yang, Shengju Yu, Siwei Wang, Xueqiong Li, Wenpeng Lu, Xinwang Liu. Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering. The Forty-second International Conference on Machine Learning (ICML), 2026. (CCF Rank A) [Paper], [Code]

  • Suyuan Liu,Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu. Efficient Federated Incomplete Multi-View Clustering. The Forty-second International Conference on Machine Learning (ICML), 2025. (CCF Rank A) [Paper], [Code]

  • Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Xinwang Liu, and Kunlun He. Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing System (NeurIPS), 2024. (CCF Rank A) [Paper]

  • Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu. Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering. Proceedings of the Thirty-Sixth IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pages: 26151-26161. (CCF Rank A) [Paper], [Code]

  • Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, and Xinwang Liu. Sample-level Cross-view Similarity Learning for Incomplete Multi-view Clustering. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024, pages: 14017-14025. (CCF Rank A) [Paper], [Code]

  • Suyuan Liu*, Siwei Wang*, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, and Feng Gao. Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors. Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022, pages: 7576-7584. (CCF Rank A) [Paper], [Code]

  • Lijun Zhang*, Suyuan Liu*, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, and Xinwang Liu. Parameter-Free Clustering via Self-Supervised Consensus Maximization. Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF Rank A) [Paper], [Code]

  • Shengfei Wei*, Suyuan Liu*, Jun Wang, Ke Liang, Miaomiao Li, and Lei Luo. A General Anchor-Based Framework for Scalable Fair Clustering. Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF Rank A) [Paper]

  • Dayu Hu*, Suyuan Liu*, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, and Xinwang Liu. Reliable Attribute-missing Multi-view Clustering with Instance-level and Feature-level Cooperative Imputation. Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 2024. (CCF Rank A) [Paper], [Code]

  • Yi Wen*, Suyuan Liu*, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, and Pei Zhang. Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023, pages: 3021-3030. (CCF Rank A) [Paper], [Code]