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

  • [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.

Publications

Journals

  • Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, and En Zhu. Scalable and Structural Multi-view Graph Clustering with Adaptive Anchor Fusion. IEEE Transactions on Image Processing (TIP). (CCF Rank A, JCR Q1) [Paper], [Code]

  • Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, and Xinwang Liu. Multiple Kernel Clustering with Adaptive Multi-scale Partition Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A, JCR Q1) [Paper], [Code]

  • Huimin Ma, Siwei Wang, Junpu Zhang, Shengju Yu, Suyuan Liu, Xinwang Liu, and Kunlun He. Symmetric Multi-view Subspace Clustering with Automatic Neighbor Discovery. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). (CCF Rank B, 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]

  • 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]

  • Miaomiao Li, Qing Liao, Yi Zhang, Chuan Ma, Zhe Liu, Suyuan Liu, Jianping Yin, and Xinwang Liu. Regularized Simple Multiple Kernel K-means with Kernel Average Alignment. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B, JCR Q1) [Paper]

  • Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu, and Xinzhong Zhu. Simple multiple kernel k-means with kernel weight regularization. Information Fusion. (JCR Q1) [Paper]

  • 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]

  • 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]

  • Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu. Parameter-Free and Scalable Incomplete Multi-view Clustering with Prototype Graph. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B, JCR Q1) [Paper], [Code]

Conferences

  • Zhibin Dong, Siwei Wang, Meng Liu, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu. Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. Proceedings of the Thirty-Seventh IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF Rank A)

  • Baili xiao, Zhibin Dong, Ke Liang, Suyuan Liu, Siwei Wang, Tianrui Liu, Xingchen Hu, En Zhu, Xinwang Liu, En Zhu. EEASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering. Proceedings of the Thirty-Seventh IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF Rank A)

  • Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu. Incremental Nyström-based Multiple Kernel Clustering. Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF Rank A)

  • 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]

  • Fangdi Wang, Siwei Wang, Jiaqi Jin, jingtao Hu, Suyuan Liu, Xihong Yang, Xinwang Liu, and En Zhu. Evaluate then cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing System (NeurIPS), 2024. (CCF Rank A) [Paper]

  • Ke Liang, Yue Liu，Hao Liu, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, and Xinwang Liu. Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding. Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing System (NeurIPS), 2024. (CCF Rank A) [Paper]

  • Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Siwei Wang, Suyuan Liu, Wenxuan Tu, Sihang Zhou, and Xinwang Liu. Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 2024. (CCF Rank A) [Paper]

  • Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Jun-Jie Huang, Huijun Wu, Xinwang Liu, and En Zhu. Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering. Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 2024. (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]

  • 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]

  • Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, and En Zhu. A Non-parametric Graph Clustering Framework for Multi-View Data. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024, pages: 14017-14025. (CCF Rank A) [Paper]

  • Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, and En Zhu. Scalable Incomplete Multi-View Clustering with Structure Alignment. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023, pages: 3031-3040. (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]

  • Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, and En Zhu. DealMVC: Dual Contrastive Calibration for Multi-view Clustering. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023, pages: 337-346. (CCF Rank A) [Paper], [Code]

  • Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, and En Zhu. Align then Fusion: Generalized Large-Scale Multi-View Clustering with Anchor Matching Correspondences. Proceedings of the Thirty-Sixth Annual Conference on Neural Information Processing System (NeurIPS), 2022, pages: 5882-5895. (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]

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