From 2023.06, I am an assistant professor at Academy of Military Sciences, Haidian, Beijing.

I graduated from the Department of Computer Science, National University of Defense Technology, with a bachelor/master/doctor degree(国防科技大学计算机学院), advised by Xinwang Liu (刘新旺) and En Zhu (祝恩) 2013-2023. I also collaborate with Sihang Zhou (周思航) and Chang Tang(唐厂) closely.

I am now working on Multi-modal Analysis, Scalable unsupervised learning and LLM agent planning. I have published 50+ papers at the top international AI conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, AAAI and IEEE TPAMI, TIP, TKDE, TNNLS.

For scalable unsupervised learning, we have built a comprehensive awesome-multi-view-clustering-repository. We have also built a data repository for large-scale multi-view data.

If you are seeking any form of academic cooperation, please feel free to email me at wangsiwei13@nudt.edu.cn.

🔥 News

• 2024.03:  🎉🎉 accept to serve as Area Chair for NeurIPS24(CCF-A).
• 2024.03:  🎉🎉 one paper is accepted in CVPR24(CCF-A).
• 2024.02:  🎉🎉 accept to serve as Area Chair for ACM MM24(CCF-A).
• 2024.01:  🎉🎉 one paper is accepted in ICLR24.

📝 Publications

Selected Publications

NeurIPS 2, ICML 1, ICLR 1, CVPR 3, ICCV 1, AAAI 3, IEEE TIP 2, TKDE 4, IJCAI 1, SIGIR 1

Multi-view Late Fusion Alignment

IJCAI 2019

Multi-view Clustering via Late Fusion Alignment Maximization

Code

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin

Project

• propose multi-view late fusion paradigm.

Large-scale Anchor Representation

IEEE TIP2022

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance

Code

Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu (ESI High Cited Paper)

Project

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Large-scale Anchor Alignment

NeurIPS 2022

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences

Code

Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu

Project

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• Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet, A, B, C, CVPR 2020

Large-scale Anchor for Incomplete Scenerios

CVPR 2022

Highly-efficient Incomplete Large-scale Multi-view Clustering with Consensus Bipartite Graph

Code

Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

Project

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• One-step multi-view clustering with diverse representation, Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu, TNNLS 2024
• A Non-parametric Graph Clustering Framework for Multi-View Data, Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu, AAAI 2024
• Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering, Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu, AAAI 2024
• DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering, Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu, AAAI 2024
• Robust and Consistent Anchor Graph Learning for Multi-View Clustering, Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu, TKDE 2024

• Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering, Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu, TNNLS 2024

• Multi-view bipartite graph clustering with coupled noisy feature filter, Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang, TKDE 2023
• Deep graph clustering with multi-level subspace fusion, Wang Li, Siwei Wang, Xifeng Guo, En Zhu, PR 2023
• Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering, Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu, ICCV 2023
• Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment, Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu, CVPR 2023
• Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph, Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, Xinwang Liu, En Zhu, TNNLS 2023
• Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning, Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu, ACM MM 2023
• Efficient Multi-View Graph Clustering with Local and Global Structure Preservation, Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang, ACM MM 2023
• Scalable Incomplete Multi-View Clustering with Structure Alignment, Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu, ACM MM 2023
• Dealmvc: Dual contrastive calibration for multi-view clustering, Xihong Yang, Jin Jiaqi, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu, ACM MM 2023
• Convert: Contrastive graph clustering with reliable augmentation, Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z Li, Xinwang Liu, En Zhu, ACM MM 2023
• Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data, Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu, TNNLS 2023
• How to Construct Corresponding Anchors for Incomplete Multiview Clustering, Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu, TCSVT 2023
• Unpaired multi-view graph clustering with cross-view structure matching, Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu, TNNLS 2023
• Learn from relational correlations and periodic events for temporal knowledge graph reasoning, Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, SIGIR 2023
• Simple contrastive graph clustering, Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li, TNNLS 2023
• Let the data choose: Flexible and diverse anchor graph fusion for scalable multi-view clustering, Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo, AAAI 2023
• Auto-weighted multi-view clustering for large-scale data, Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou, , AAAI 2023
• Cluster-guided contrastive graph clustering network, Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu, AAAI 2023
• Graph anomaly detection via multi-scale contrastive learning networks with augmented view, Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong, AAAI 2023
• Fast incomplete multi-view clustering with view-independent anchors, Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu, TNNLS 2022
• Stability and generalization of kernel clustering: From single kernel to multiple kernel, Weixuan Liang, Xinwang Liu, Yong Liu, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu, NIPS 2022
• Align then fusion: Generalized large-scale multi-view clustering with anchor matching correspondences, Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu, NIPS 2022
• Sample weighted multiple kernel k-means via min-max optimization, Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu, ACM MM 2022
• Multiple kernel clustering with dual noise minimization, Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu, ACM MM 2022
• Local sample-weighted multiple kernel clustering with consensus discriminative graph, Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li, TNNLS 2022
• Robust graph-based multi-view clustering, Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu, AAAI 2022
• Efficient one-pass multi-view subspace clustering with consensus anchors, Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao, AAAI 2022
• Parameter-free and scalable incomplete multiview clustering with prototype graph, Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu, TNNLS 2022
• Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph, Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu, CVPR 2022

• Late fusion multiple kernel clustering with local kernel alignment maximization, Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen, TMM 2021

• Fast parameter-free multi-view subspace clustering with consensus anchor guidance, Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu, TIP 2021
• One-stage incomplete multi-view clustering via late fusion, Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu, ACM MM 2021
• Multi-view clustering via deep matrix factorization and partition alignment, Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang, ACM MM 2021
• Scalable multi-view subspace clustering with unified anchors, Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang, ACM MM 2021
• Self-representation subspace clustering for incomplete multi-view data, Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang, ACM MM 2021
• Late fusion multiple kernel clustering with proxy graph refinement, Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu, TNNLS 2021
• Multiple kernel clustering with compressed subspace alignment, Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu, TNNLS 2021
• One pass late fusion multi-view clustering, Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu, ICML 2021
• Projective multiple kernel subspace clustering, Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu, TMM 2021
• Hierarchical multiple kernel clustering, Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang, AAAI 2021
• Localized simple multiple kernel k-means, Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang, CVPR 2021
• Multi-view spectral clustering with high-order optimal neighborhood laplacian matrix, Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu, TKDE 2020
• Optimal neighborhood multiple kernel clustering with adaptive local kernels, Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang, TKDE 2020
• Multi-view Clustering via Late Fusion Alignment Maximization., Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin, IJCAI 2019

🎖 Services

Conferences

• Area Chair: CVPR 2023, NeurIPS2024, ACM MM 2023/2024, AAAI 2023/2024

• Reviewer: ICML/NeurIPS/ICLR/CVPR/ICCV/ECCV/AAAI/IJCAI/KDD/WWW

Journals

• Reviewer: IEEE TPAMI/TIP/TNNLS/TKDE/TCYB/TMM/TCVST, Pattern Recognition

📝 Projects

Multi-modal Fusion

Complete/Incomplete Scalable Multi-modal Learning

LLM-based Agents

Graph Anomaly Detection

🎖 Honors and Awards

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📖 Educations

• *2020.03 - 2023.06, Doctor, Computer Science, National University of Defense Technology, Changsha.
• *2017.09 - 2019.12, Master, Computer Science, National University of Defense Technology, Changsha.
• *2013.09 - 2017.06, Bachelor, Software Engineering, National University of Defense Technology, Changsha.

💬 Invited Talks

• 2022.04, Fast Parameter-Free Multi-View Subspace Clustering with Consensus Anchor Guidance. | [ Valse video]

💻 Internships

• 2019.05 - 2020.02, Peng Cheng Laboratory, China.