Yichu Xu

According to our database, Yichu Xu authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.

Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, Liangpei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification.

Yichu Xu, Di Wang, Hongzan Jiao, Lefei Zhang, Liangpei Zhang

CoRR, April, 2025

HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection.

Chengxi Han, Xiaoyu Su, Zhiqiang Wei, Meiqi Hu, Yichu Xu

CoRR, April, 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, February, 2025

Dual selective fusion transformer network for hyperspectral image classification.

Yichu Xu, Di Wang, Lefei Zhang, Liangpei Zhang

Neural Networks, 2025

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

Selective Transformer for Hyperspectral Image Classification.

Yichu Xu, Di Wang, Lefei Zhang, Liangpei Zhang

CoRR, 2024

Weight Scope Alignment: A Frustratingly Easy Method for Model Merging.

Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

One Important Thing To Do Before Federated Training.

Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Hyperspectral Anomaly Detection Based on Machine Learning: An Overview.

Yichu Xu, Lefei Zhang, Bo Du, Liangpei Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection.

Yichu Xu, Bo Du, Liangpei Zhang, Shizhen Chang

IEEE Geosci. Remote. Sens. Lett., 2020