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Jiaqi Jin |
News
- [2024.09] "Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering" has been accepted by NeurIPS 2024.
- [2024.07] "View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering" has been accepted by ACM MM 2024.
- [2024.01] "Subgraph Propagation and Contrastive Calibration for Incomplete Multi-view Data Clustering" has been accepted by TNNLS.
- [2023.08] "Iterative Deep Structural Graph Contrast Clustering for Multi-view Raw Data" has been accepted by TNNLS.
- [2023.07] "DealMVC: Dual Contrastive Calibration for Multi-view Clustering" has been accepted by ACM MM 2023.
- [2023.07] "Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering" has been accepted by ICCV 2023.
- [2023.02] "Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment" has been accepted by CVPR 2023.
- [2022.09] "Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences" has been accepted by NeurIPS 2022.
Research Interest
I'm a researcher of machine learning and data mining, especially on multi-view clustering, deep clustering and optimization theory. Currently, I focus on the following research topics:- Multi-view Clustering/Fusion
- Deep clustering with Optimal Transport (OT) / Mutual Information (MI)
- Optimization theory on Riemannian Manifold
- Unsupervised graph representation learning
Education
2020.09-Now Ph.D in PRMI, NUDT. Supervisor: Prof. En Zhu & Xinwang Liu
2016.9-2020.6 B.E. in School of Computer, NUDT.
Under Review
TIP(1), CVPR(2)Publications
Journals:
[TNNLS] Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu. "Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering". In TNNLS, 2024. [PDF]
[TNNLS] Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu. "Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data". In TNNLS, 2023. [PDF]
Conferences:
[NeurIPS 2024] Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu. "Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering". In NeurIPS, 2024. [PDF]
[ACM MM 2024] Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu. "View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering". In ACM MM, 2024. [PDF]
[ACM MM 2023] Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu. "DealMVC: Dual Contrastive Calibration for Multi-view Clustering". In ACM MM, 2023. [PDF]
[ICCV 2023] Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu. "Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering". In ICCV, 2023. [PDF]
[CVPR 2023] Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu. "Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment". In CVPR, 2023. [PDF]
[NeurIPS 2022] Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu. "Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences". In NeurIPS, 2022. [PDF]