avatar

Renxiang Guan

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


About Me

Renxiang Guan is a Master student in School of Computer, National University of Defense Technology (NUDT) advised by Prof. Xinwang Liu. Before that, He got his Bachelor degree in the School of Computer, China University of Geoscience (CUG), in July 2023. With excellent grades and competition awards, he was recommended for admission to NUDT.

Research Interests: Deep Graph Clustering and Hyperspectral Image Clustering

News

Recent Publications

(* indicates equal contribution, # indicates corresponding author)

  1. 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.
  2. 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]
  3. 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.
  4. 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.
  5. 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.
  6. RS
    Adaptive multi-feature fusion graph convolutional network for hyperspectral image classification
    Jie Liu, Renxiang Guan#, Zihao Li, Jiaxuan Zhang, Yaowen Hu, Xueyong Wang
    Remote Sensing (RS, CAAI B & Q1), 2023.
  7. RS
    Classification of heterogeneous mining areas based on rescapsnet and gaofen-5 imagery
    Renxiang Guan, Zihao Li, Teng Li, Xianju Li, Jinzhong Yang, Weitao Chen
    Remote Sensing (RS, CAAI B & Q1), 2023.
  8. S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images
    Renxiang Guan, Zihao Li, Chujia Song, Guo Yu, Xianju Li, Ruyi Feng
    (IJCNN, CCF C), 2024.
  9. Multi-Level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering
    Jingxin Wang*, Renxiang Guan*, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang
    (IJCNN, CCF C), 2024.
  10. Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image
    Junhong Li, Renxiang Guan, Yuhang Han, Yaowen Hu, Zihao Li, Yanyan Wu, Ziwei Xu, Xianju Li
    (ICIC, CCF C), 2024.
  11. LUFFD-YOLO: A Lightweight Model for UAV Remote Sensing Forest Fire Detection Based on Attention Mechanism and Multi-Level Feature Fusion
    Yuhang Han, Bingchen Duan, Renxiang Guan, Guang Yang, Zhen Zhen
    (Remote Sensing, CAAI B & Q1), 2024.
  12. SMWE-GFPNNet: A high-precision and robust method for forest fire smoke detection
    Rui Li, Yaowen Hu, Lin Li, Renxiang Guan, Ruoli Yang, Jialei Zhan, Weiwei Cai, Yanfeng Wang, Haiwen Xu, Liujun Li
    (KBS, CCF C & Q1), 2024.
  13. SSMA-YOLO: A Lightweight YOLO Model with Enhanced Feature Extraction and Fusion Capabilities for Drone-Aerial Ship Image Detection
    Yuhang Han, Jizhuang Guo, Haoze Yang, Renxiang Guan, Tianjiao Zhang
    (Drones, Q1), 2024.

See all publications

Awards

Experience

Services