GNN-Based Small-Data Learning with Area-Control Mechanism for Hyperspectral Satellite Change Detection. - Tzu-Hsuan Lin; Chia-Hsiang Lin; Si-Sheng Young (APSIPA ASC, 2023)

CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection. - Si-Sheng Young; Chia-Hsiang Lin; Jhao-Ting Lin (WHISPERS, 2023)

Quantum Adversarial Learning for Hyperspectral Remote Sensing. - Chia-Hsiang Lin; Chen-Yu Kuo; Si-Sheng Young (IGARSS, 2024)

Synthesis of High-Resolution Formosat-8 Satellite Image using Fast Convex Deep Learning Algorithm. - Chia-Hsiang Lin; Si-Sheng Young; Li-Yu Chang; Cynthia S. J. Liu (IGARSS, 2024)

QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images. - Chia-Hsiang Lin; Chih-Chung Hsu; Si-Sheng Young; Cheng-Ying Hsieh; Shen-Chieh Tai (IEEE Trans. Geosci. Remote. Sens., 2024)

Signal Subspace Identification for Incomplete Hyperspectral Image With Applications to Various Inverse Problems. - Chia-Hsiang Lin; Si-Sheng Young (IEEE Trans. Geosci. Remote. Sens., 2024)

HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration. - Chia-Hsiang Lin; Si-Sheng Young (IEEE Trans. Geosci. Remote. Sens., 2025)

Unsupervised Abundance Matrix Reconstruction Transformer-Guided Fractional Attention Mechanism for Hyperspectral Anomaly Detection. - Si-Sheng Young; Chia-Hsiang Lin; Zi-Chao Leng (IEEE Trans. Neural Networks Learn. Syst., 2025)