👋 About Me

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, supervised 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-based GUI Agent. 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 journals, I have been invited to be AE for IEEE TIP and Pattern Recognition(CCF-B). I also serve as Area Chairs for top conferences, including ICLR, NeurIPS, ICML, CVPR, ICCV, 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.

For GUI Agnet, we have done several work about the whole pipeline of LLM agents.

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

🏆 Honors and Awards

Academic Papers

• Published 30+ as first/corresponding author in CCF-A conferences (e.g., ICML, NeurIPS, ICLR, CVPR) and IEEE Transactions journals (e.g., TPAMI, TIP, TKDE)
• 10 ESI Highly Cited Papers and 2 ESI Hot Papers; over Google Scholar citations.
• Listed among Stanford University’s World’s Top 2% Scientists in 2024 and 2025.

Personal Awards

• Received 3 provincial-level and society-level science and technology awards, including the(2025 CCF自然科学奖一等奖) and 2024 Hunan Province Second Class Award for Natural Sciences (湖南省自然科学奖二等奖)
• Awarded Outstanding Doctoral Dissertation by Hunan Province and relevant computer societies
• Delivered invited keynote speeches on clustering at CCDM 2024 and CGCKD 2025

🔥 News

• 2025.08:  🎉🎉 one oral paper of Multi LLM Agent is accepted in EMNLP25(CCF-B).
• 2025.01:  🎉🎉 one paper is accepted in TKDE.
• 2024.11:  🎉🎉 honor to serve as AE for Pattern Recognition(CCF-B).
• 2024.09:  🎉🎉 will be an AC for Valse.
• 2024.09:  🎉🎉 Two corresponding papers are accepted in NeurIPS24(CCF-A).
• 2024.06:  🎉🎉 Two corresponding papers are accepted in ACM MM24(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:  🎉🎉 one paper is accepted in CVPR24(CCF-A).
• 2024.01:  🎉🎉 one paper is accepted in ICLR24.
• 2023.12:  🎉🎉 four papers have been accepted in AAAI24(CCF-A).

🎖 Services

Conferences

• Area Chair: CVPR 2024-26, NeurIPS2024-26, ICML 2024-26,, ICLR2023-26, ACM MM 2023-26, AAAI 2023-26,

• 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

📝 Publications

2025

• Efficient Federated Incomplete Multi-view Clustering, Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu, ICML 2025
• Selective Cross-view Topology for Deep Incomplete Multi-view Clustering, Zhibin Dong, Dayu Hu, Jiaqi Jin, Siwei Wang, Xinwang Liu, En Zhu, TIP 2025
• Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks, Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He, Advanced Science 2025
• Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios, Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin, ICML 2025
• Scalable Multi-view Graph Clustering with Cross-view Corresponding Anchor Alignment, Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He, TKDE 2025
• EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering, Baili Xiao, Zhibin Dong, Ke Liang, Suyuan Liu, Siwei Wang, Tianrui Liu, Xingchen Hu, En Zhu, Xinwang Liu, CVPR 2025
• Enhanced Then Progressive Fusion with View Graph for Multi-view Clustering, Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu, CVPR 2025
• Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning, Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng, CVPR 2025
• Deep Incomplete Multi-view Clustering with Distribution Dual-consistency Recovery Guidance, Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He, ICCV 2025
• Dleft-mkc: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-max Optimization, Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu, ICLR 2025

2024

• Evaluate Then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering, Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu, NeurIPS 2024
• Alleviate Anchor-shift: Explore Blind Spots with Cross-view Reconstruction for Incomplete Multi-view Clustering, Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Kunlun He, Xinwang Liu, NeurIPS 2024
• TFMKC: Tuning-free Multiple Kernel Clustering Coupled with Diverse Partition Fusion, Junpu Zhang, Liang Li, Pei Zhang, Yue Liu, Siwei Wang, Changbao Zhou, Xinwang Liu, En Zhu, TNNLS 2024
• Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-tuning, Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, TCYB 2024
• Scalable and Structural Multi-view Graph Clustering with Adaptive Anchor Fusion, Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu, TIP 2024
• Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering, Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu, ICML 2024
• Decouple Then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information, Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu, ICML 2024
• A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-modal, Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He, TPAMI 2024
• High-order Topology for Deep Single-cell Multiview Fuzzy Clustering, Dayu Hu, Zhibin Dong, Ke Liang, Hao Yu, Siwei Wang, Xinwang Liu, TFS 2024
• Symmetric Multi-view Subspace Clustering with Automatic Neighbor Discovery, Huimin Ma, Siwei Wang, Junpu Zhang; Shengju Yu; Suyuan Liu; Xinwang Liu, TCSVT 2024
• 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
• 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, TNNLS 2024
• Crots: Cross-domain Teacher–student Learning for Source-free Domain Adaptive Semantic Segmentation, Xin Luo, Wei Chen, Zhengfa Liang, Longqi Yang, Siwei Wang, Chen Li , IJCV 2024
• Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering, Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu, CVPR 2024

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
• SAMCL: Subgraph-aligned Multiview Contrastive Learning for Graph Anomaly Detection, Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu, TNNLS 2023
• Arise: Graph Anomaly Detection on Attributed Networks via Substructure Awareness, Jingcan Duan, Bin Xiao, Siwei Wang, Haifang Zhou, Xinwang Liu, TNNLS 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, TNNLS 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
• Deep Temporal Graph Clustering, Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, ICLR 2023
• Multi-view Bipartite Graph Clustering with Coupled Noisy Feature Filter, Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, Keqin Li, TNNLS 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

2022

• Multi-view Fuzzy Classification with Subspace Clustering and Information Granules, Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang, TKDE 2022
• 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, sihang zhou, JunJie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu, NeurIPS 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, NeurIPS 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
• 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

2021

• 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
• 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

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 Spectral Clustering with High-order Optimal Neighborhood Laplacian Matrix, Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, TKDE 2020
• circ5615 Functions as a ceRNA to Promote Colorectal Cancer Progression by Upregulating TNKS, Zhifei Ma, Chencheng Han, Wenjia Xia, Siwei wang, Xiang Li, Panqi Fang, Rong Yin, Lin Xu, Liu Yang, Cell Death & Disease 2020

2019

• 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

Research Projects

• 1 NSFC Young Scientist Fund project, 2 intelligent special projects of the CSTVC, and 1 provincial-level research project
• Selected as National Defense Young Talent in Science and Technology and a grantee of the Young Talent Support Program
• Served as Associate Editor for IEEE TIP (CCF-A, IF=13.7) and Pattern Recognition (CCF-B, IF=7.9)
• Served as Area Chair for top international conferences including ICLR, NeurIPS, ICML, CVPR, ICCV, AAAI and ACM MM

Practical Application

• Developed a multi-view clustering and fusion framework integrating routine blood tests, multi-omics data, and electronic health records for early screening of chronic non-communicable diseases
• Established an early disease warning scheme enabling population stratification, subtype identification, and risk grading
• Built a disease early warning platform and validated the interpretability, verifiability, and generalizability of the proposed method
• Deployed the solution at the Chinese PLA General Hospital, achieving 90% prediction accuracy for 9 chronic diseases, a 7% improvement over comparable methods

📖 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.