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Renxiang Guan

PhD Student
National University of Defense Technology
renxiangguan (at) nudt.edu.cn


About Me

Renxiang Guan is currently pursuing his Ph.D. degree at the School of Computer, National University of Defense Technology (NUDT), under the supervision of Prof. Xinwang Liu. He previously obtained his Master’s degree from the same institution in December 2025, also advised by Prof. Xinwang Liu. Prior to that, he received his Bachelor’s degree from the School of Computer, China University of Geosciences (CUG), in July 2023. Owing to his outstanding academic performance and achievements in competitions, he was recommended for admission to NUDT.

Research Interests: Deep Graph Clustering and Hyperspectral Image Clustering

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Recent Publications

(* indicates equal contribution, # indicates corresponding author)

  1. AAAI
    Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering
    Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Liu, Dayu Hu, Miaomiao Li, Xinwang Liu
    AAAI Conference on Artificial Intelligences(AAAI, CCF A), 2026.
  2. TCBB
    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 Transactions on Computational Biology and Bioinformatics(TCBB, CCF B), 2025.
  3. TKDE
    Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering with Long-Short Range Information Mining
    Renxiang Guan, Tianrui Liu, Wenxuan Tu, Chang Tang, Wenhan Luo, Xinwang Liu
    IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A), 2025.
  4. ACM MM
    Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data
    Renxiang Guan, Junhong Li, Siwei Wang, Wenxuan Tu, Miaomiao Li, En Zhu, Xinwang Liu, Ping Chen
    ACM International Conference on Multimedia (MM, CCF A), 2025.
  5. ACM MM
    Multi-view Graph Clustering with Dual Structure Awareness for Remote Sensing Data
    Xin Peng, Bowen Liu, Renxiang Guan#, Wenxuan Tu
    ACM International Conference on Multimedia (MM, CCF A), 2025.
  6. AAAI
    Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
    Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Junhong Li, Yu Feng, Baili Xiao, Chang Tang, Xinwang Liun
    AAAI Conference on Artificial Intelligence(AAAI, CCF A), 2025.
  7. TGRS
    Spatial-Spectral Graph Contrastive Clustering with Hard Sample Mining for Hyperspectral Images
    Renxiang Guan, Wenxuan Tu, Zihao Li, Hao Yu, Dayu Hu, Yuzeng Chen, Chang Tang, Qiangqiang Yuan, Xinwang Liu
    IEEE Transactions on Geoscience and Remote Sensing (TGRS, CCF B & Q1), 2024.
  8. TGRS
    Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks
    Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Chang Tang, Xianju Li, Ruyi Feng
    IEEE Transactions on Geoscience and Remote Sensing (TGRS, CCF B & Q1), 2024. [ESI Highly Cited Paper]
  9. AAAI
    Attribute-Missing Graph Clustering Network
    Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu
    AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2024.
  10. ICASSP
    Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering
    Renxiang Guan, Zihao Li, Xianju Li, Chang Tang
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP, CCF B), 2024.
  11. BIB
    scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data
    Dayu Hu, Renxiang Guan, Ke Liang, Hao Yu, Hao Quan, Yawei Zhao, Xinwang Liu, Kunlun He
    Briefings in Bioinformatics (BIB, CCF B & Q1), 2024.

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