From 2023.07, I am an assistant professor at Intelligent Game and Decision Lab, Academy of Military Sciences, 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) ， from 2013 to 2023. I also collaborate with Sihang Zhou (周思航) and Chang Tang(唐厂) closely.

I am now working on Multi-modal Data 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. I also serve as Area Chairs for top conferences, including ICLR, NeurIPS, ICML, CVPR, AAAI and ACM MM.

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

• 2024.11:  🎉🎉 honor to serve as AE for Pattern Recognition(CCF-B).
• 2024.10:  🎉🎉 accept to serve as Area Chair for CVPR25(CCF-A).
• 2024.09:  🎉🎉 Two corresponding papers are accepted in NeurIPS24(CCF-A).
• 2024.08:  🎉🎉 accept to serve as Area Chair for ICLR25.
• 2024.06:  🎉🎉 Two corresponding papers are accepted in ACM MM24(CCF-A).
• 2024.06:  🎉🎉 continue to serve as SPC for AAAI25(CCF-A).
• 2024.05:  🎉🎉 two papers about incomplete MVC and continual learning are accepted in ICML24(CCF-A) （ One corresponding: Spotlight (121/9473, top 3.5%) ）.
• 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.

🎖 Services

Conferences

• Area Chair: CVPR 2024/2025, NeurIPS2024, ICLR2025, ACM MM 2023/2024, AAAI 2023/2024/2025

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

Journals

-Associate Editor: Pattern Recognition(2024-)

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

📝 Latest Projects

Effecient Multi-modal Learning

I dedicate the majority of my time on large-scale multi-modal Leraning , mostly on anchors (from sample perspective), view analysis (from modality perspective). I welcome any kinds of coopearations on this field. Do not hestiate to contact me.

SoS(System of System) Design meets MML

Another main focus of me is to SoS analysis and design. We have found several connections between Sos and Multi-Modal Learning and are supported to rethink current methodology.

📝 Publications

Selected Publications

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

• a unified multi-view co-training style of anchors.

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

• the first work to tackle multi-view anchor-unaligned problem.

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

• the first large-scale multi-view anchor framework for incomplete scenerios.

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Late fusion multiple kernel clustering with proxy graph refinement, Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu, 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

📝 Projects

Multi-modal Fusion

Complete/Incomplete Scalable Multi-modal Learning

LLM-based Agents

Graph Anomaly Detection

🎖 Honors and Awards

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• 2021.09 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet.

📖 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.