Deep Hyperspectral Tensor Completion Just Using Small Data. - Chia-Hsiang Lin; Yen-Cheng Lin; Po-Wei Tang; Man-Chun Chu (IGARSS, 2021)

Inverse Problem Transform: Solving Hyperspectral Inpainting Via Deterministic Compressed Sensing. - Chia-Hsiang Lin; Po-Wei Tang (WHISPERS, 2021)

A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution. - Pai-Chuan Chang; Jhao-Ting Lin; Chia-Hsiang Lin; Po-Wei Tang; Yangrui Liu (WHISPERS, 2022)

Hyperspectral Dehazing Using Admm-Adam Theory. - Po-Wei Tang; Chia-Hsiang Lin (WHISPERS, 2022)

Optimization-Based Hyperspectral Spatiotemporal Super-Resolution. - Pai-Chuan Chang; Jhao-Ting Lin; Chia-Hsiang Lin; Po-Wei Tang; Yangrui Liu (IEEE Access, 2022)

ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning. - Chia-Hsiang Lin; Yen-Cheng Lin; Po-Wei Tang (IEEE Trans. Geosci. Remote. Sens., 2022)

CODE-MM: Convex Deep Mangrove Mapping Algorithm Based on Optical Satellite Images. - Chia-Hsiang Lin; Man-Chun Chu; Po-Wei Tang (IEEE Trans. Geosci. Remote. Sens., 2023)

Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing. - Po-Wei Tang; Chia-Hsiang Lin; Yangrui Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping. - Chia-Hsiang Lin; Po-Wei Tang; Alfredo R. Huete (IEEE Trans. Geosci. Remote. Sens., 2025)

A Quantum-Empowered SPEI Drought Forecasting Algorithm Using Spatially Aware Mamba Network. - Po-Wei Tang; Chia-Hsiang Lin; Jian-Kai Huang; Alfredo R. Huete (IEEE Trans. Geosci. Remote. Sens., 2025)