A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection. - Yichu Xu; Bo Du 001; Liangpei Zhang 001; Shizhen Chang (IEEE Geosci. Remote. Sens. Lett., 2020)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yichu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CVPR, 2022)

Hyperspectral Anomaly Detection Based on Machine Learning: An Overview. - Yichu Xu; Lefei Zhang; Bo Du 001; Liangpei Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

One Important Thing To Do Before Federated Training. - Yichu Xu; Wenqian Li; Yinchuan Li; Yunfeng Shao 001; Yan Pang; De-Chuan Zhan (Tiny Papers @ ICLR, 2023)

Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. - Yichu Xu; Xin-Chun Li; Le Gan; De-Chuan Zhan (ECAI, 2024)

Selective Transformer for Hyperspectral Image Classification. - Yichu Xu; Di Wang 023; Lefei Zhang; Liangpei Zhang 001 (CoRR, 2024)

S³ANet: Spatial-Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification. - Yichu Xu; Yonghao Xu; Hongzan Jiao; Zhi Gao; Lefei Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Dual selective fusion transformer network for hyperspectral image classification. - Yichu Xu; Di Wang 023; Lefei Zhang; Liangpei Zhang 001 (Neural Networks, 2025)

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection. - Silin Chen; Kangjian Di; Yichu Xu; Han-Jia Ye; Wenhan Luo; Ningmu Zou (CoRR, 2025)

HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection. - Chengxi Han; Xiaoyu Su; Zhiqiang Wei; Meiqi Hu; Yichu Xu (CoRR, 2025)

MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification. - Yichu Xu; Di Wang 023; Hongzan Jiao; Lefei Zhang; Liangpei Zhang 001 (CoRR, 2025)

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model. - Di Wang 023; Meiqi Hu; Yao Jin; Yuchun Miao; Jiaqi Yang 005; Yichu Xu; Xiaolei Qin; Jiaqi Ma 002; Lingyu Sun; Chenxing Li; Chuan Fu; Hongruixuan Chen; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)