Fast transient technique (FTT) in buck current-mode DC-DC converters for low-voltage SoC systems. - Chia-Hsiang Lin; Hong-Wei Huang; Ke-Horng Chen (CICC, 2008)

Built-in resistance compensation (BRC) technique for fast charging Li-Ion battery charger. - Chia-Hsiang Lin; Hong-Wei Huang; Ke-Horng Chen (CICC, 2008)

High-performance low-dropout regulator achieved by fast transient mechanism. - Hong-Wei Huang; Chia-Hsiang Lin; Ke-Horng Chen (ESSCIRC, 2008)

Fast charging technique for Li-Ion battery charger. - Chia-Hsiang Lin; Chi-Lin Chen; Yu-Huei Lee; Shih-Jung Wang; Chun-Yu Hsieh; Hong-Wei Huang; Ke-Horng Chen (ICECS, 2008)

A programmable dual hysteretic window comparator. - Hong-Wei Huang; Chia-Hsiang Lin; Ke-Horng Chen (ISCAS, 2008)

A Li-Ion Battery Charger With Smooth Control Circuit and Built-In Resistance Compensator for Achieving Stable and Fast Charging. - Chia-Hsiang Lin; Chun-Yu Hsieh; Ke-Horng Chen (IEEE Trans. Circuits Syst. I Regul. Pap., 2010)

On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case. - Chia-Hsiang Lin; Arul-Murugan Ambikapathi; Wei-Chiang Li; Chong-Yung Chi (ICASSP, 2013)

Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images. - Arul-Murugan Ambikapathi; Tsung-Han Chan; Chia-Hsiang Lin; Chong-Yung Chi (WHISPERS, 2013)

A fast hyperplane-based MVES algorithm for hyperspectral unmixing. - Chia-Hsiang Lin; Chong-Yung Chi; Yu-Hsiang Wang; Tsung-Han Chan (ICASSP, 2015)

When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel? - Wing-Kin Ma; Chia-Hsiang Lin; Wei-Chiang Li; Chong-Yung Chi (WHISPERS, 2015)

Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case. - Chia-Hsiang Lin; Wing-Kin Ma; Wei-Chiang Li; Chong-Yung Chi; Arul-Murugan Ambikapathi (IEEE Trans. Geosci. Remote. Sens., 2015)

Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI. - Arul-Murugan Ambikapathi; Tsung-Han Chan; Chia-Hsiang Lin; Fei-Shih Yang; Chong-Yung Chi; Yue Wang 021 (IEEE Trans. Biomed. Eng., 2016)

A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. - Chia-Hsiang Lin; Chong-Yung Chi; Yu-Hsiang Wang; Tsung-Han Chan (IEEE Trans. Signal Process., 2016)

Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks. - Guixian Xu; Chia-Hsiang Lin; Weiguo Ma; Chong-Yung Chi (ICC, 2017)

Outage Constrained Robust Hybrid Coordinated Beamforming for Massive MIMO Enabled Heterogeneous Cellular Networks. - Guixian Xu; Chia-Hsiang Lin; Weiguo Ma; Shanzhi Chen; Chong-Yung Chi (IEEE Access, 2017)

New Theory for Unmixing ILL-Conditioned Hyperspectral Mixtures. - Chia-Hsiang Lin; José M. Bioucas-Dias (SAM, 2018)

Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances. - Chia-Hsiang Lin; José M. Bioucas-Dias (IGARSS, 2018)

Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral Mixtures. - Chia-Hsiang Lin; José M. Bioucas-Dias (SSP, 2018)

Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization. - Chia-Hsiang Lin; Ruiyuan Wu; Wing-Kin Ma; Chong-Yung Chi; Yue Wang 021 (SIAM J. Imaging Sci., 2018)

A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion. - Chia-Hsiang Lin; Fei Ma 005; Chong-Yung Chi; Chih-Hsiang Hsieh (IEEE Trans. Geosci. Remote. Sens., 2018)

Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion. - Chia-Hsiang Lin; Chong-Yung Chi; Lulu Chen; David J. Miller 001; Yue Wang 021 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. - Chih-Chung Hsu; Chia-Hsiang Lin (ICCV Workshops, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Nam Hyung Joon; Yu Seung Won; Guisik Kim; Dokyeong Kwon; Chih-Chung Hsu; Chia-Hsiang Lin; Yuanfei Huang; Xiaopeng Sun; Wen Lu; Jie Li 001; Martin Danelljan; et al. (ICCV Workshops, 2019)

Panchromatic Sharpening of Multispectral Satellite Imagery Via an Explicitly Defined Convex Self-Similarity Regularization. - Chia-Hsiang Wang; Chia-Hsiang Lin; José M. Bioucas-Dias; Wei-Cheng Zheng; Kuo-Hsin Tseng (IGARSS, 2019)

Unsupervised Change Detection in Multitemporal Multispectral Satellite Images: A Convex Relaxation Approach. - Wei-Cheng Zheng; Chia-Hsiang Lin; Kuo-Hsin Tseng; Chih-Yuan Huang; Tang-Huang Lin; Chia-Hsiang Wang; Chong-Yung Chi (IGARSS, 2019)

An Outlier-Insensitive Unmixing Algorithm With Spatially Varying Hyperspectral Signatures. - Yao-Rong Syu; Chia-Hsiang Lin; Chong-Yung Chi (IEEE Access, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Manuel Fritsche; Shuhang Gu; Kuldeep Purohit; Praveen Kandula; Maitreya Suin; A. N. Rajagopalan 001; Nam Hyung Joon; Yu Seung Won; Guisik Kim; et al. (CoRR, 2019)

Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing. - Lina Zhuang; Chia-Hsiang Lin; Mário A. T. Figueiredo; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2019)

A New Hyperspectral Compressed Sensing Method for Efficient Satellite Communications. - Chia-Hsiang Lin; José M. Bioucas-Dias; Tzu-Hsuan Lin; Yen-Cheng Lin; Chi-Hung Kao (SAM, 2020)

Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. - Chih-Chung Hsu; Wen-Hai Tseng; Hao-Ting Yang; Chia-Hsiang Lin; Chi-Hung Kao (ACM Multimedia, 2020)

An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution. - Chia-Hsiang Lin; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2020)

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

Fast Unsupervised Spatiotemporal Super-Resolution for Multispectral Satellite Imaging Using Plug-and-Play Machinery Strategy. - Chia-Hsiang Lin; Cheng-Yu Sie; Pang-Yu Lin; Jhao-Ting Lin (IGARSS, 2021)

Blind Hyperspectral Inpainting Via John Ellipsoid. - Chia-Hsiang Lin; Yangrui Liu (WHISPERS, 2021)

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

Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel. - Chandradeep Singh; Chia-Hsiang Lin (CoRR, 2021)

Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI. - Kamal Singh; Chandradeep Singh; Chia-Hsiang Lin (CoRR, 2021)

Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels. - Chandradeep Singh; Chia-Hsiang Lin; Kamal Singh (CoRR, 2021)

DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite. - Chih-Chung Hsu; Chia-Hsiang Lin; Chi-Hung Kao; Yen-Cheng Lin (IEEE Trans. Geosci. Remote. Sens., 2021)

Nonnegative Blind Source Separation for Ill-Conditioned Mixtures via John Ellipsoid. - Chia-Hsiang Lin; José M. Bioucas-Dias (IEEE Trans. Neural Networks Learn. Syst., 2021)

Real-Time Hyperspectral Anomaly Detection using Collaborative Superpixel Representation with Boundary Refinement. - Jhao-Ting Lin; Chia-Hsiang Lin (IGARSS, 2022)

Single Hyperspectral Image Super-Resolution Using Admm-Adam Theory. - Tzu-Hsuan Lin; Chia-Hsiang Lin (IGARSS, 2022)

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)

High-Dimensional Multiresolution Satellite Image Classification: An Approach Blending The Advantages Of Convex Optimization And Deep Learning. - Chia-Hsiang Lin; Man-Chun Chu; Hone-Jay Chu (WHISPERS, 2022)

Fast Reconstruction of Hyperspectral Image From its RGB Counterpart Using ADMM-Adam Theory. - Chia-Hsiang Lin; Tzu-Hsuan Lin; Ting-Hsuan Lin; Tang-Huang Lin (WHISPERS, 2022)

Low-Rank Representation With Morphological-Attribute-Filter Based Regularization For Hyperspectral Anomaly Detection. - Yangrui Liu; Chia-Hsiang Lin; Yu-Chun Kuo (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)

swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution. - Lulu Chen; Chiung-Ting Wu; Chia-Hsiang Lin; Rujia Dai; Chunyu Liu 001; Robert Clarke; Guoqiang Yu; Jennifer E. Van Eyk; David M. Herrington; Yue Wang 021 (Bioinform., 2022)

Joint Beamforming and Power Allocation for M2M/H2H Co-Existence in Green Dynamic TDD Networks: Low-Complexity Optimal Designs. - Chi-Han Lee; Ronald Y. Chang; Shin-Ming Cheng; Chia-Hsiang Lin; Chiu-Han Hsiao (IEEE Internet Things J., 2022)

All-Addition Hyperspectral Compressed Sensing for Metasurface-Driven Miniaturized Satellite. - Chia-Hsiang Lin; Tzu-Hsuan Lin (IEEE Trans. Geosci. Remote. Sens., 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)

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)

Quantum Deep Hyperspectral Satellite Remote Sensing. - Chia-Hsiang Lin; You-Yao Chen (IGARSS, 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)

HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration. - Chia-Hsiang Lin; You-Yao Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

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)

Hyperspectral Change Detection Using Semi-Supervised Graph Neural Network and Convex Deep Learning. - Tzu-Hsuan Lin; Chia-Hsiang Lin (IEEE Trans. Geosci. Remote. Sens., 2023)

HyperQUEEN-MF: Hyperspectral Quantum Deep Network with Multi-Scale Feature Fusion For Quantum Image Super-Resolution. - Shih-Min Hsu; Tzu-Hsuan Lin; Chia-Hsiang Lin (SAM, 2024)

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)

CODE-IF: A Convex/Deep Image Fusion Algorithm for Efficient Hyperspectral Super-Resolution. - Chia-Hsiang Lin; Cheng-Ying Hsieh; Jhao-Ting Lin (IEEE Trans. Geosci. Remote. Sens., 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)

SuperRPCA: A Collaborative Superpixel Representation Prior-Aided RPCA for Hyperspectral Anomaly Detection. - Jhao-Ting Lin; Chia-Hsiang Lin (IEEE Trans. Geosci. Remote. Sens., 2024)

Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection. - Chia-Hsiang Lin; Tzu-Hsuan Lin; Jocelyn Chanussot (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)

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)

Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis. - Chia-Hsiang Lin; Yangrui Liu; Chong-Yung Chi; Chih-Chung Hsu; Hsuan Ren; Tony Q. S. Quek (IEEE Trans. Neural Networks Learn. Syst., 2024)

Microscopic-based analysis of nuclei in spheroids via SUNSHINE: An on-chip workflow integrating optical clearing, fluorescence calibration and supervoxel segmentation. - Chia-Hsiang Lin; Zi-Chao Leng; Chien-Hsin Yu; Lui Kirtan Deori Bharali; Cheng-Li Lin; Bin-Hsu Mao; Ting-Yuan Tu (Comput. Biol. Medicine, 2025)

PRIME: Unsupervised Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry. - Chia-Hsiang Lin; Jhao-Ting Lin (IEEE Trans. Geosci. Remote. Sens., 2025)

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

HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration. - Chia-Hsiang Lin; Si-Sheng Young (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)

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)