Suyuan Liu

Suyuan Liu

PRMI Lab

I am currently pursuing the Ph.D. degree with the College of Computer Science and Technology, National University of Defense Technology, under the supervisor of Prof. Xinwang Liu. I received my bachelor degree and master degree at NUDT in 2020 and 2022. My current research interests include machine learning and data mining, especially in multi-view learning, clustering, and graph learning. Any questions are welcome to contact me by suyuanliu@nudt.edu.cn.

News

  • 2026.07: One paper have been accepted by IEEE TPAMI.
  • 2026.06: One paper have been accepted by IEEE TKDE.
  • 2026.05: Three paper have been accepted by ICML 2026.
  • 2026.02: One paper have been accepted by CVPR 2026.
  • 2026.01: One paper have been accepted by IEEE TKDE.
  • 2025.11: One paper have been accepted by IEEE TPAMI.
  • 2025.11: One paper have been accepted by IEEE TMM.
  • 2025.11: One paper have been accepted by IEEE TIP.
  • 2025.11: Three paper have been accepted by AAAI 2026.
  • 2025.09: Three paper have been accepted by NeurIPS 2025.
  • 2025.05: One paper have been accepted by ICCV 2025.
  • 2025.05: Four papers have been accepted by ICML 2025.
  • 2025.02: Two papers have been accepted by CVPR 2025.
  • 2025.02: One paper has been accepted by ICDE Poster Track.
  • 2025.01: One paper has been accepted by ICLR 2025.
  • 2024.12: One paper has been accepted by AAAI 2025.
  • 2024.09: Three papers have been accepted by NeurIPS 2024.
  • 2024.07: One paper has been accepted by IEEE TIP.
  • 2024.07: Three papers has been accepted by ACM MM 2024.
  • 2024.04: One paper has been accepted by CVPR 2024.
  • 2024.01: One paper has been accepted by IEEE TKDE.
  • 2023.12: One paper has been accepted by AAAI 2024.
  • 2023.11: One paper has been accepted by IEEE TNNLS.
  • 2023.07: Three papers have been accepted by ACM MM 2023.
  • 2022.11: One paper has been accepted by IEEE TNNLS.
  • 2022.09: One paper has been accepted by NeurIPS 2022.
  • 2021.12: One paper has been accepted by AAAI 2022.

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]

Educations

  • [Jan 2023 - Now] Doctor, National University of Defense Technology, Changsha, China

  • [Sep 2020 - Dec 2022] Master, National University of Defense Technology, Changsha, China

  • [Sep 2016 - Jul 2020] Bachelor, National University of Defense Technology, Changsha, China

Service

  • Reviewer for ICLR 2025, ICML 2025, NeurIPS 2024-2025, AAAI 2023-2025, IJCAI 2025, AISTATS 2025
  • Reviewer for CVPR 2024-2025, ICCV 2025, ACM MM 2023-2025, SIGKDD 2024-2025, WSDM 2025
  • Reviewer for IEEE TKDE, IEEE TIP, IEEE TNNLS, IEEE TCVST, PR, EAAI, Neurocomputing