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. Sens., 2022)

Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Xianju Li; Renxiang Guan; Zihao Li; Hao Liu; Jing Yang (APWeb/WAIM (4), 2023)

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Xianju Li; Chang Tang; Ruyi Feng (CoRR, 2023)

Adaptive Multi-Feature Fusion Graph Convolutional Network for Hyperspectral Image Classification. - Jie Liu; Renxiang Guan; Zihao Li; Jiaxuan Zhang; Yaowen Hu; Xueyong Wang (Remote. Sens., 2023)

Attribute-Missing Graph Clustering Network. - Wenxuan Tu; Renxiang Guan; Sihang Zhou 001; Chuan Ma 001; Xin Peng; Zhiping Cai; Zhe Liu 001; Jieren Cheng; Xinwang Liu 002 (AAAI, 2024)

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. - Renxiang Guan; Zihao Li; Xianju Li; Chang Tang (ICASSP, 2024)

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 (6), 2024)

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, 2024)

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, 2024)

Active Motion Cancellation for Robotic Optical Coherence Tomography of Moving Eyes: A Nystagmus Phantom Study. - Haochi Pan; Chae Woo Lim; Katelyn King; Renxiang Guan; Mark Draelos (ISMR, 2024)

scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. - Dayu Hu; Renxiang Guan; Ke Liang 006; Hao Yu; Hao Quan; Yawei Zhao; Xinwang Liu 002; Kunlun He (Briefings Bioinform., 2024)

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 (CoRR, 2024)

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 (Knowl. Based Syst., 2024)

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Wenxuan Tu; Jun Wang 118; Yue Liu 008; Xianju Li; Chang Tang; Ruyi Feng (IEEE Trans. Geosci. Remote. Sens., 2024)

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 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

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. Sens., 2024)

Incremental Nyström-based Multiple Kernel Clustering. - Yu Feng; Weixuan Liang; Xinhang Wan; Jiyuan Liu 003; Suyuan Liu; Qian Qu; Renxiang Guan; Huiying Xu; Xinwang Liu 002 (AAAI, 2025)

Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data. - Renxiang Guan; Wenxuan Tu; Siwei Wang 001; Jiyuan Liu 003; Dayu Hu; Chang Tang; Yu Feng; Junhong Li; Baili Xiao; Xinwang Liu 002 (AAAI, 2025)

Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. - Jiyuan Liu 003; Xinwang Liu 002; Chuankun Li; Xinhang Wan; Hao Tan; Yi Zhang 104; Weixuan Liang; Qian Qu; Yu Feng; Renxiang Guan; Ke Liang 006 (CVPR, 2025)

FreCT: Frequency-Augmented Convolutional Transformer for Robust Time Series Anomaly Detection. - Wenxin Zhang 005; Ding Xu; Guangzhen Yao; Xiaojian Lin; Renxiang Guan; Chengze Du; Renda Han; Xi Xuan; Cuicui Luo (ICIC (16), 2025)

FACNet: A high-precision pumpkin seedling point cloud organ segmentation method. - Zerui Liu; Junhong Zhao; Yaowen Hu; Rui Li; Qiaomei Deng; Renxiang Guan; Ruoli Yang; Zhuonong Xu; Guoxiong Zhou (Comput. Electron. Agric., 2025)

An effective global structure-aware feature aggregation network for multi-modal medical clustering. - Renxiang Guan; Hao Quan; Deliang Li; Dayu Hu (Expert Syst. Appl., 2025)

Spatial-Spectral Adaptive Graph Convolutional Subspace Clustering for Hyperspectral Image. - Yuqi Liu; Enshuo Zhu; Qinghe Wang; Junhong Li; Shujun Liu; Yaowen Hu; Yuhang Han; Guoxiong Zhou; Renxiang Guan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Hyperspectral Video Tracking With Spectral-Spatial Fusion and Memory Enhancement. - Yuzeng Chen; Qiangqiang Yuan; Hong Xie 002; Yuqi Tang; Yi Xiao 003; Jiang He; Renxiang Guan; Xinwang Liu 002; Liangpei Zhang 001 (IEEE Trans. Image Process., 2025)

SPHENIC: Topology-Informed Multi-View Clustering for Spatial Transcriptomics. - Chenkai Guo; Yikai Zhu; Jing Yangum; Renxiang Guan; Lip Yee Por; Guangdun Peng; Dayu Hu (CoRR, 2025)

Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining. - Renxiang Guan; Tianrui Liu 001; Wenxuan Tu; Chang Tang; Wenhan Luo; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2025)