Suyuan Liu

Ph.D. Candidate PRMI Group, College of Computer, National University of Defense Technology Email: suyuanliu@nudt.edu.cn Address: Sanyi Road, Kaifu District, Changsha, Hunan, China [DBLP] [ResearchGate] [Github] [ORCID]

Short Bio

I am currently pursuing the Ph.D. degree with the College of Computer, National University of Defense Technology, under the supervisor of Professor Xinwang Liu. I have published papers in highly regarded journals and conferences such as IEEE TKDE, IEEE TNNLS, IEEE TCSVT, Information Fusion, AAAI, ACM MM, NeurIPS, CVPR, etc. My research interests include clustering and graph learning.

Education Experience

• [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

Publications

2024

• 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]

• 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]

• 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, 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]

• 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, 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]

2023

• 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]

• 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]

2022

• 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]

• 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]

• 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]

• 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]

Contact

Any discussions or concerns are welcomed! [suyuanliu@nudt.edu.cn]