Jun Wang's Homepage

Jun Wang (王俊)
PhD Student
[Email:wang_jun@nudt.edu.cn]

National University of Defense Technology
School of Computer Science
 
[Google Scholar] [GitHub]

Multiple Kernel Clustering with Adaptive Multi-scale Partition Selection

Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu
IEEE Transactions on Knowledge and Data Engineering, 2024
[Paper] [Code]

Fast Approximated Multiple Kernel K-means

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu
IEEE Transactions on Knowledge and Data Engineering, 2023
[Paper] [Code]

Efficient and Effective One-step Multi-view Clustering

Jun Wang, Chang Tang, Zhiguo Wan, Wei Zhang, Kun Sun, Albert Zomaya
IEEE Transactions on Neural Networks and Learning Systems, 2023
[Paper] [Code]

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 Zomaya
IEEE Transactions on Cybernetics, 2022
[Paper] [Code]

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
[Paper] [Code]

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
Information Fusion, 2021
[Paper] [Code]

Unified One-step Multi-view Spectral Clustering

Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu
IEEE Transactions on Knowledge and Data Engineering, 2022
[Paper] [Code]

Spatial and Spectral Structure Preserved Self-representation for Hyperspectral Band Selection

Chang Tang, Jun Wang, Xinwang Liu, Weiying Xie, Xianju Li, Wei Zhang, Xinzhong Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2023
[Paper] [Code]

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

Dayu Hu, Ke Liang, Zhibing Dong, Jun Wang, Yawei Zhao, Kunlun He
Briefings in Bioinformatics, 2024
[Paper] [Code]

Contrastive Multi-view 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 Transactions on Geoscience and Remote Sensing, 2024
[Paper] [Code]

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
ACM MM, 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
ICML, 2024

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
NDSS, 2024