From September 2016 to June 2020, I studied at Wuhan University and obtained a bachelor’s degree in engineering. From September 2020, I will study for a doctorate degree at the National University of Defense Technology, ChangSha. I was supervised by Zhu En and Xinwang Liu (刘新旺).

I am now working on Multi-modal Data Analysis, Scalable Unsupervised Learning and graph learning. I have published 20+ papers at the top international AI conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, AAAI and IEEE TIP, TKDE, TNNLS. I also serve as reviewer for top conferences, including ICLR, NeurIPS, ICML, CVPR, ICCV, AAAI and ACM MM.

For scalable unsupervised learning, we have built a comprehensive awesome-deep-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 dzb20@nudt.edu.cn.

🔥 News

• 2025.05:  🎉🎉 One paper is accepted in TIP25(CCF-A).
• 2025.05:  🎉🎉 One paper is accepted in ICML25(CCF-A).
• 2025.02:  🎉🎉 Three papers is accepted in CVPR25(CCF-A).
• 2025.02:  🎉🎉 accept to serve as reviewer for ACM MM 2025 and NeurIPS2025(CCF-A).
• 2025.01:  🎉🎉 One paper is accepted in Advance Science(Cover Article).
• 2024.12:  🎉🎉 accept to serve as reviewer for ICML25(CCF-A).
• 2024.09:  🎉🎉 One papers are accepted in NeurIPS24(CCF-A).
• 2024.08:  🎉🎉 accept to serve as reviewer for ICLR25.
• 2024.06:  🎉🎉 Two corresponding papers are accepted in ACM MM24(CCF-A).
• 2024.06:  🎉🎉 continue to serve as reviewer for AAAI25(CCF-A).
• 2024.01:  🎉🎉 one paper is accepted in TNNLS24(CCF-B).
• 2023.08:  🎉🎉 one paper is accepted in TNNLS23(CCF-B).
• 2023.07:  🎉🎉 one paper is accepted in ICCV23(CCF-A).
• 2023.02:  🎉🎉 accept to serve as reviewer for ACM MM23(CCF-A).
• 2022.07:  🎉🎉 one paper is accepted in ACM MM22(CCF-A).

🎖 Services

Conferences

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

Journals

• 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.

📝 Publications

Selected Publications

AI4S

Advanced Science 2025(Cover design)

Integrative Multi-Omics and routine blood analysis using deep learning: cost-effective early prediction of chronic disease risks (Cover)

Code

Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He.

AI4S

Advanced Science 2025(Cover Article)

Integrative Multi-Omics and routine blood analysis using deep learning: cost-effective early prediction of chronic disease risks (Cover Article)

Code

Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He.

Multi-View Progressive Fusion

CVPR 2025(CCF-A)

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering

Code

Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu.

Selective Cross-view Topology

IEEE TIP 2025(CCF-A)

Selective Cross-view Topology for Deep Incomplete Multi-view Clustering

Code

Zhibin Dong, Dayu Hu, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu.

Consistent and Complementary Information

ICCV 2023(CCF-A)

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering

Code

Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu.

Single-Cell Multiview Fuzzy Clustering

TFS 2024(SCI Q1)

High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering

Code

Dayu Hu, Zhibin Dong(Co-first author), Ke Liang, Siwei Wang, Xinwang Liu.

Incomplete Multiview Data Clustering

TNNLS 2024(SCI Q1)

Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering

Code

Zhibin Dong, Jiaqi Jin, Siwei Wang, Xinwang Liu, En Zhu.

Deep Structural Graph Contrast Clustering

TNNLS 2023(SCI Q1)

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data

Code

Zhibin Dong, Jiaqi Jin, Siwei Wang, Xinwang Liu, En Zhu.

• From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering, Shengju Yu, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, ICML 2025

• EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering, Baili Xiao, Zhibin Dong, Siwei Wang, 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, CVPR 2025

• Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction, Shengju Yu, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, ICLR 2025

• DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimizaiton, Yi Zhang, Siwei Wang, Jiyuan Liu, Zhibin Dong, Xinwang Liu, En Zhu, ICLR 2025

• 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

• 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

• 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

• Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering, Suyuan Liu, Siwei Wang, Ke Liang,Zhibin Dong, Xinwang Liu, En Zhu, NIPS 2024

• Learn from view correlation: An anchor enhancement strategy for multi-view clustering, Suyuan Liu, Siwei Wang, Ke Liang,Zhibin Dong, Xinwang Liu, En Zhu, CVPR 2024

• View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering, Fangdi Wang, Siwei Wang, Zhibin Dong, Ke Liang, Xinwang Liu, En Zhu, ACM MM 2024

• DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimizaiton, Yi Zhang, Siwei Wang, Ke Liang,Zhibin Dong, Xinwang Liu, En Zhu, CVPR 2024

• Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning, Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, En Zhu, IEEE TCYB 2024

• Contrastive continual multiview clustering with filtered structural fusion, Xinhang Wan, Jiyuan Liu, Suyuan Liu, En Zhu, Zhibin Dong. IEEE TNNLS 2024

📝 Projects

Multi-modal Fusion

Complete/Incomplete Scalable Multi-modal Learning

📖 Educations

• *2020.09 - 2025.12, Doctor, Computer Science, National University of Defense Technology, Changsha.
• *2016.09 - 2020.06, Bachelor, Software Engineering, Wuhan University.