Kernel Low-Rank Representation Based on Local Similarity for Hyperspectral Image Classification. - Qian Liu 008; Zebin Wu 001; Le Sun 002; Yang Xu 006; Lu Du; Zhihui Wei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

From Local to Global: Class Feature Fused Fully Convolutional Network for Hyperspectral Image Classification. - Qian Liu 008; Zebin Wu 001; Xiuping Jia; Yang Xu 006; Zhihui Wei (Remote. Sens., 2021)

DCFF-Net: A Densely Connected Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images. - Fei Pan; Zebin Wu 001; Qian Liu 008; Yang Xu 006; Zhihui Wei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Temporal-Reliable Method for Change Detection in High-Resolution Bi-Temporal Remote Sensing Images. - Fei Pan; Zebin Wu 001; Xiuping Jia; Qian Liu 008; Yang Xu 006; Zhihui Wei (Remote. Sens., 2022)

Multiscale Alternately Updated Clique Network for Hyperspectral Image Classification. - Qian Liu 008; Zebin Wu 001; Qian Du 001; Yang Xu 006; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2022)

A Unified Attention Paradigm for Hyperspectral Image Classification. - Qian Liu 008; Zebin Wu 001; Yang Xu 006; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2023)

Dual-Layer Multi-Level Architecture and Spatial-Spectral Semantic Feature Fusion for Hyperspectral Image Classification. - Wenyan Wang; Qian Liu 008; Zebin Wu 001 (IGARSS, 2024)

Improving diversity and invariance for single domain generalization. - Zhen Zhang 070; Shuai Yang 003; Qianlong Dang; Tingting Jiang 004; Qian Liu 008; Chao Wang 104; Lichuan Gu (Inf. Sci., 2025)

More Accurate Constraints for Self-Supervised Learning in Remote Sensing Images-Based Object Detection. - Shangdong Zheng; Zebin Wu 001; Yang Xu 006; Qian Liu 008; Zhihui Wei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)