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Zhibin Dong(董 智 斌) |
News
- 24-05-01-Dayu Hu*, Zhibin Dong*, Ke Liang, Hao Yu , Siwei Wang ,and Xinwang Liu: High-order Topology for Deep Single-cell Multiview Fuzzy Clustering. TFS 2024. (SCI Q1 IF:11.9)
- 24-05-01-Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu: Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. ICML 2024. (Spotlight)(CCF Rank A )
- 24-03-01-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. CVPR 2024. (CCF Rank A )
- 24-01-01-Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu: Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering. TNNLS 2024. (SCI Q1 IF:10.4)
- 23-11-20-Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu: A Non-parametric Graph Clustering Framework for Multi-view Data. AAAI 2024. (CCF Rank A)
- 23-08-29-Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu: Iterative Deep Structural Graph Contrast Clustering for Multi-view Raw Data. TNNLS 2023. (SCI Q1 IF:10.4)
- 23-07-Will serve as PC for AAAI24. .
- 23-07-18-Zhibin Dong, Jiaqi Jin, Siwei Wang, Xinwang Liu, En Zhu: Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. ICCV 2023. (CCF Rank A)
- 23-07-Will serve as PC for TKDE.
- 23-05-Will serve as PC for ACM MM2023.
- 23-03-27-Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu: Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment. CVPR 2023. (CCF Rank A)
- 22-11-01-Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu and Zhibin Dong: Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023 (CCF Rank A)
- 22-08-17-An invention patent has been granted（一种基于计算机视觉的矿山资源统计方法，第一作者）
- 22-07-Will serve as PC for AAAI23. .
- 22-06-24-Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong: Efficient Anchor Learning-based Multi-view Clustering – A Late Fusion Approach. ACM MM 2022. (CCF Rank A) .
Research Interest
I'm a resracher of machine learning and data mining, especially on optimization throey, multi-view clustering and deep clustering. Currently, I focus on the following research topics:- Multi-view clustering/fusion
- Optimization throey on Riemannian Manifold
- Deep clustering with Optimal Transport (OT) / Mutual Information (MI)
- UAV study
Education
- 2020.06-Now Ph.D in PRMI, NUDT. Supervisor: Prof. En Zhu & Xinwang Liu
- 2016.09-2020.06 B.E. in WuHan University, WHU. Supervisor: Prof. Xiaoliang Meng
Awards
- 2020, Airdrones Challenge | 武汉大学优秀毕业生
- 2019, School Schloarship | 国家励志奖学金
- 2019, Contest winning | 湖北省第十二届“挑战杯”大学生课外学术科技作品竞赛省级一等奖
- 2019, Contest winning | 中国软件杯大赛国家级二等奖
- 2019, School Schloarship | 连续三年评为武汉大学“三好学生”
- 2018, Sports competition | 武汉市同城双星龙舟赛500，800米亚军