Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning. - Xiang Hu; Teng Li 011; Tong Zhou 008; Yuanxi Peng (Remote. Sens., 2021)

Introducing Improved Transformer to Land Cover Classification Using Multispectral LiDAR Point Clouds. - Zhiwen Zhang; Teng Li 011; Xuebin Tang; Xiangda Lei; Yuanxi Peng (Remote. Sens., 2022)

CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification. - Zhiwen Zhang; Teng Li 011; Xuebin Tang; Xiang Hu; Yuanxi Peng (Sensors, 2022)

A Complementary Spectral-Spatial Method for Hyperspectral Image Classification. - Lulu Shi; Chunchao Li; Teng Li 011; Yuanxi Peng (IEEE Trans. Geosci. Remote. Sens., 2022)

Semantic Segmentation of Spectral LiDAR Point Clouds Based on Neural Architecture Search. - Qi Zhang 082; Yuanxi Peng; Zhiwen Zhang; Teng Li 011 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multispectral LiDAR Point Cloud Segmentation for Land Cover Leveraging Semantic Fusion in Deep Learning Network. - Kai Xiao; Jia Qian; Teng Li 011; Yuanxi Peng (Remote. Sens., 2023)

Boundary-Aware Deformable Spiking Neural Network for Hyperspectral Image Classification. - Shuo Wang; Yuanxi Peng; Lei Wang 003; Teng Li 011 (Remote. Sens., 2023)

RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation. - Dongzi Wang; Fangwei Zhong; Minglong Li; Muning Wen; Yuanxi Peng; Teng Li 011; Adam Yang 001 (Neural Networks, 2024)

Edge-Aware Attention Transformer for Image Super-Resolution. - Haoqian Wang; Zhongyang Xing; Zhongjie Xu; Xiangai Cheng; Teng Li 011 (IEEE Signal Process. Lett., 2024)

Equal Emphasis on Data and Network: A Two-Stage 3D Point Cloud Object Detection Algorithm with Feature Alignment. - Kai Xiao; Teng Li 011; Jun Li 094; Da Huang; Yuanxi Peng (Remote. Sens., 2024)

SSAformer: Spatial-Spectral Aggregation Transformer for Hyperspectral Image Super-Resolution. - Haoqian Wang; Qi Zhang 082; Tao Peng; Zhongjie Xu; Xiangai Cheng; Zhongyang Xing; Teng Li 011 (Remote. Sens., 2024)

An Efficient Point Network for Light Detection and Ranging point cloud perception in large-scale scene. - Kai Xiao; Jialin Gui; Yuanxi Peng; Teng Li 011 (Eng. Appl. Artif. Intell., 2025)

Asymmetric Network Based on Feedback and Transformer for Multispectral LiDAR Point Cloud Semantic Segmentation. - Zhiwen Zhang; Yuanxi Peng; Qi Zhang 082; Teng Li 011 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

RDHNet: addressing rotational and permutational symmetries in continuous multi-agent systems. - Dongzi Wang; Lilan Huang; Muning Wen; Yuanxi Peng; Minglong Li; Teng Li 011 (Frontiers Comput. Sci., 2025)