Jun Wang

According to our database, Jun Wang authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation.

Chuan Tang, Miaomiao Li, Jun Wang, Chang Tang, Jiahe Jiang, Tianyi Wang, En Zhu, Xinwang Liu

IEEE Trans. Knowl. Data Eng., November, 2025

From Concrete to Abstract: Multi-View Clustering on Relational Knowledge.

Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, Huaimin Wang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Balanced Multi-view Clustering.

Zhenglai Li, Jun Wang, Chang Tang, Xinzhong Zhu, Wei Zhang, Xinwang Liu

CoRR, January, 2025

DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning.

Hao Yu, Chuan Ma, Xinhang Wan, Jun Wang, Tao Xiang, Meng Shen, Xinwang Liu

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Fast Approximated Multiple Kernel K-Means.

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu

IEEE Trans. Knowl. Data Eng., November, 2024

Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection.

Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu

IEEE Trans. Knowl. Data Eng., November, 2024

Efficient and Effective One-Step Multiview Clustering.

Jun Wang, Chang Tang, Zhiguo Wan, Wei Zhang, Kun Sun, Albert Y. Zomaya

IEEE Trans. Neural Networks Learn. Syst., September, 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

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.

Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng

IEEE Trans. Geosci. Remote. Sens., 2024

Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation.

Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unified One-Step Multi-View Spectral Clustering.

Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection.

Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu

IEEE Trans. Geosci. Remote. Sens., 2023

Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection.

Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Cybern., 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

2022

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection.

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

Neural Networks, 2022

Hyperspectral band selection via region-aware latent features fusion based clustering.

Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang

Inf. Fusion, 2022