Underwater Hyperspectral Target Detection with Band Selection. - Xianping Fu; Xiao-Di Shang; Xudong Sun 009; Haoyang Yu 001; Meiping Song; Chein-I Chang (Remote. Sens., 2020)

Band Selection for Specific Target Detection of Hyperspectral Imagery. - Xudong Sun 009; Site Li; Hongqi Zhang; Fengqiang Xu; Xianping Fu (IGARSS, 2021)

Constrained-Target Band Selection With Subspace Partition for Hyperspectral Target Detection. - Xudong Sun 009; Hongqi Zhang; Fengqiang Xu; Yuan Zhu; Xianping Fu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Global-Local Spectral Weight Network Based on Attention for Hyperspectral Band Selection. - Hongqi Zhang; Xudong Sun 009; Yuan Zhu; Fengqiang Xu; Xianping Fu (IEEE Geosci. Remote. Sens. Lett., 2022)

Refined marine object detector with attention-based spatial pyramid pooling networks and bidirectional feature fusion strategy. - Fengqiang Xu; Huibing Wang; Xudong Sun 009; Xianping Fu (Neural Comput. Appl., 2022)

Multiple Band Prioritization Criteria-Based Band Selection for Hyperspectral Imagery. - Xudong Sun 009; Xin Shen; Huijuan Pang; Xianping Fu (Remote. Sens., 2022)

Target-Oriented Multi-criteria Band Selection for Hyperspectral Image. - Huijuan Pang; Xudong Sun 009; Xianping Fu; Huibing Wang (PRCV (7), 2023)

Spectral-Spatial Hypergraph-Regularized Self-Representation for Hyperspectral Band Selection. - Xiao-Di Shang; Chuanyu Cui; Xudong Sun 009 (IEEE Geosci. Remote. Sens. Lett., 2023)

RGB and Optimal Waveband Image Fusion for Real-Time Underwater Clear Image Acquisition. - Xudong Sun 009; Yuan Zhu; Xianping Fu (IEEE Trans. Instrum. Meas., 2023)

Multi-dimensional, multi-functional and multi-level attention in YOLO for underwater object detection. - Xin Shen; Xudong Sun 009; Huibing Wang; Xianping Fu (Neural Comput. Appl., 2023)

Latent Feature Representation-Based Low Rank Subspace Clustering for Hyperspectral Band Selection. - Xiao-Di Shang; Xin Zhao; Yujie Guo; Xudong Sun 009 (PRCV (13), 2024)

Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery. - Baijia Fu; Xudong Sun 009; Chuanyu Cui; Jiahua Zhang 001; Xiao-Di Shang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection. - Yujie Guo; Xin Zhao; Xudong Sun 009; Jiahua Zhang 001; Xiao-Di Shang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

MOBS-TD: Multiobjective Band Selection With Ideal Solution Optimization Strategy for Hyperspectral Target Detection. - Xudong Sun 009; Peng Lin; Xiao-Di Shang; Huijuan Pang; Xianping Fu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Anomaly-background separation and particle swarm optimization based band selection for hyperspectral anomaly detection. - Xiao-Di Shang; Yiqi Duan; Xiaopeng Wang; Baijia Fu; Xudong Sun 009 (IET Image Process., 2024)

SSANet-BS: Spectral-Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection. - Chuanyu Cui; Xudong Sun 009; Baijia Fu; Xiao-Di Shang (Remote. Sens., 2024)

MSFFNet: Multi-stream feature fusion network for underwater image enhancement. - Peng Lin; Zihao Fan; Yafei Wang 004; Xudong Sun 009; Yuán-Ruì Yáng; Xianping Fu (Displays, 2025)

Dual-View Structural Similarity Subspace Clustering for Hyperspectral Band Selection. - Dongkai Yan; Xudong Sun 009; Jiahua Zhang 001; Xiao-Di Shang (IEEE Geosci. Remote. Sens. Lett., 2025)

Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost. - Xiao-Di Shang; Chuanyu Cui; Xudong Sun 009; Xiaopeng Wang; Jiahua Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)