Zhibin Dong

According to our database, Zhibin Dong authored at least 32 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cross-View Graph Matching for Unsupervised Learning With Unaligned Multi-View Clustering.

Zhibin Dong, Shengju Yu, Siwei Wang, Xinwang Liu, En Zhu

IEEE Trans. Knowl. Data Eng., April, 2026

Single-Cell Multi-View Clustering via Community Detection With Unknown Number of Clusters.

Dayu Hu, Renxiang Guan, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu

IEEE Trans. Comput. Biol. Bioinform., 2026

Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation.

Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering.

Jingyi Chen, Zhibin Dong, Tiejun Li, Yibo Han

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Contrastive Continual Multiview Clustering With Filtered Structural Fusion.

Xinhang Wan, Jiyuan Liu, Hao Yu, Qian Qu, Ao Li, Xinwang Liu, Ke Liang, Zhibin Dong, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering.

Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Selective Cross-View Topology for Deep Incomplete Multi-View Clustering.

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

IEEE Trans. Image Process., 2025

RSRule: Relation-level semantic-driven rule learning for explainable extrapolation on temporal knowledge graphs.

Kai Chen, Xiaojuan Zhao, Xin Song, Ye Wang, Zhibin Dong, Feng Xie, Aiping Li, Yue Han, Changjian Li

Inf. Fusion, 2025

DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering.

Taichun Zhou, Zhibin Dong, Siwei Wang, Ke Liang, Miaomiao Li, Xinwang Liu, En Zhu, Xiangjun Dong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering.

Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction.

Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data.

Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning.

Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu

IEEE Trans. Cybern., November, 2024

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

Dayu Hu, Zhibin Dong, Ke Liang, Hao Yu, Siwei Wang, Xinwang Liu

IEEE Trans. Fuzzy Syst., August, 2024

Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data.

Dayu Hu, Ke Liang, Zhibin Dong, Jun Wang, Yawei Zhao, Kunlun He

Briefings Bioinform., March, 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, Xinwang Liu, Kunlun He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering.

Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters.

Dayu Hu, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu

CoRR, 2023

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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method.

Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2018

Dual-Scheme Block Management to Trade Off Storage Overhead, Performance and Reliability.

Ruini Xue, Zhongyang Guan, Zhibin Dong, Wei Su

Proceedings of the Data Science, 2018

LMCC: Lazy Message and Centralized Cache for Asynchronous Graph Computing.

Ruini Xue, Zhibin Dong, Wei Su, Xiaofang Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018