Chia-Hsiang Lin

84 papers A* 1C 11Misc 2Journal 48Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Underdetermined Blind Source Separation via Weighted Simplex Shrinkage Regularization and Quantum Deep Image Prior. IEEE Trans. Image Process. Chia-Hsiang Lin, Si-Sheng Young
2025	J	`jnl`	A Full-Spectrum Time-Reversal Deep Network for Label Imbalance Learning: A Case Study With Novel Ground-Truth Labeling Strategy for Mangrove Forest Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Chia-Hsiang Lin, Wei-Heng Li, Shih-Min Hsu, Hone-Jay Chu
2025	J	`jnl`	A Quantum-Empowered SPEI Drought Forecasting Algorithm Using Spatially Aware Mamba Network. IEEE Trans. Geosci. Remote. Sens. Po-Wei Tang, Chia-Hsiang Lin, Jian-Kai Huang, Alfredo R. Huete
2025	J	`jnl`	COS2A: Conversion From Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Jui-Ting Chen, Zi-Chao Leng, Jhao-Ting Lin
2025	J	`jnl`	HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Si-Sheng Young
2025	J	`jnl`	Microscopic-based analysis of nuclei in spheroids via SUNSHINE: An on-chip workflow integrating optical clearing, fluorescence calibration and supervoxel segmentation. Comput. Biol. Medicine Chia-Hsiang Lin, Zi-Chao Leng, Chien-Hsin Yu, Lui Kirtan Deori Bharali, Cheng-Li Lin, Bin-Hsu Mao, Ting-Yuan Tu
2025	J	`jnl`	PRIME: Unsupervised Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Jhao-Ting Lin
2025	J	`jnl`	Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping. CoRR Chia-Hsiang Lin, Po-Wei Tang, Alfredo R. Huete
2025	J	`jnl`	Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Po-Wei Tang, Alfredo R. Huete
2025	J	`jnl`	Quantum-Driven Multihead Inland Waterbody Detection With Transformer-Encoded CYGNSS Delay-Doppler Map Data. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Jhao-Ting Lin, Po-Ying Chiu, Shih-Ping Chen, Charles Chien-Hung Lin
2025	J	`jnl`	Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing. CoRR Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu
2025	J	`jnl`	Unsupervised Abundance Matrix Reconstruction Transformer-Guided Fractional Attention Mechanism for Hyperspectral Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Si-Sheng Young, Chia-Hsiang Lin, Zi-Chao Leng
2024	J	`jnl`	CODE-IF: A Convex/Deep Image Fusion Algorithm for Efficient Hyperspectral Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Cheng-Ying Hsieh, Jhao-Ting Lin
2024	—	`conf`	HyperQUEEN-MF: Hyperspectral Quantum Deep Network with Multi-Scale Feature Fusion For Quantum Image Super-Resolution. SAM Shih-Min Hsu, Tzu-Hsuan Lin, Chia-Hsiang Lin
2024	J	`jnl`	Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis. IEEE Trans. Neural Networks Learn. Syst. Chia-Hsiang Lin, Yangrui Liu, Chong-Yung Chi, Chih-Chung Hsu, Hsuan Ren, Tony Q. S. Quek
2024	J	`jnl`	QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Chih-Chung Hsu, Si-Sheng Young, Cheng-Ying Hsieh, Shen-Chieh Tai
2024	C	`conf`	Quantum Adversarial Learning for Hyperspectral Remote Sensing. IGARSS Chia-Hsiang Lin, Chen-Yu Kuo, Si-Sheng Young
2024	J	`jnl`	Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection. CoRR Chia-Hsiang Lin, Tzu-Hsuan Lin, Jocelyn Chanussot
2024	J	`jnl`	Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Tzu-Hsuan Lin, Jocelyn Chanussot
2024	J	`jnl`	Signal Subspace Identification for Incomplete Hyperspectral Image With Applications to Various Inverse Problems. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Si-Sheng Young
2024	J	`jnl`	SuperRPCA: A Collaborative Superpixel Representation Prior-Aided RPCA for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. Jhao-Ting Lin, Chia-Hsiang Lin
2024	C	`conf`	Synthesis of High-Resolution Formosat-8 Satellite Image using Fast Convex Deep Learning Algorithm. IGARSS Chia-Hsiang Lin, Si-Sheng Young, Li-Yu Chang, Cynthia S. J. Liu
2024	J	`jnl`	Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing. IEEE Trans. Geosci. Remote. Sens. Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu
2023	J	`jnl`	CODE-MM: Convex Deep Mangrove Mapping Algorithm Based on Optical Satellite Images. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Man-Chun Chu, Po-Wei Tang
2023	—	`conf`	CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection. WHISPERS Si-Sheng Young, Chia-Hsiang Lin, Jhao-Ting Lin
2023	—	`conf`	GNN-Based Small-Data Learning with Area-Control Mechanism for Hyperspectral Satellite Change Detection. APSIPA ASC Tzu-Hsuan Lin, Chia-Hsiang Lin, Si-Sheng Young
2023	J	`jnl`	HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, You-Yao Chen
2023	J	`jnl`	Hyperspectral Change Detection Using Semi-Supervised Graph Neural Network and Convex Deep Learning. IEEE Trans. Geosci. Remote. Sens. Tzu-Hsuan Lin, Chia-Hsiang Lin
2023	C	`conf`	Quantum Deep Hyperspectral Satellite Remote Sensing. IGARSS Chia-Hsiang Lin, You-Yao Chen
2022	—	`conf`	A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution. WHISPERS Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu
2022	J	`jnl`	ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang
2022	J	`jnl`	All-Addition Hyperspectral Compressed Sensing for Metasurface-Driven Miniaturized Satellite. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Tzu-Hsuan Lin
2022	—	`conf`	Fast Reconstruction of Hyperspectral Image From its RGB Counterpart Using ADMM-Adam Theory. WHISPERS Chia-Hsiang Lin, Tzu-Hsuan Lin, Ting-Hsuan Lin, Tang-Huang Lin
2022	—	`conf`	High-Dimensional Multiresolution Satellite Image Classification: An Approach Blending The Advantages Of Convex Optimization And Deep Learning. WHISPERS Chia-Hsiang Lin, Man-Chun Chu, Hone-Jay Chu
2022	—	`conf`	Hyperspectral Dehazing Using Admm-Adam Theory. WHISPERS Po-Wei Tang, Chia-Hsiang Lin
2022	J	`jnl`	Joint Beamforming and Power Allocation for M2M/H2H Co-Existence in Green Dynamic TDD Networks: Low-Complexity Optimal Designs. IEEE Internet Things J. Chi-Han Lee, Ronald Y. Chang, Shin-Ming Cheng, Chia-Hsiang Lin, Chiu-Han Hsiao
2022	—	`conf`	Low-Rank Representation With Morphological-Attribute-Filter Based Regularization For Hyperspectral Anomaly Detection. WHISPERS Yangrui Liu, Chia-Hsiang Lin, Yu-Chun Kuo
2022	J	`jnl`	Optimization-Based Hyperspectral Spatiotemporal Super-Resolution. IEEE Access Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu
2022	C	`conf`	Real-Time Hyperspectral Anomaly Detection using Collaborative Superpixel Representation with Boundary Refinement. IGARSS Jhao-Ting Lin, Chia-Hsiang Lin
2022	C	`conf`	Single Hyperspectral Image Super-Resolution Using Admm-Adam Theory. IGARSS Tzu-Hsuan Lin, Chia-Hsiang Lin
2022	J	`jnl`	swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution. Bioinform. Lulu Chen, Chiung-Ting Wu, Chia-Hsiang Lin, Rujia Dai, Chunyu Liu, Robert Clarke, Guoqiang Yu, Jennifer E. Van Eyk, David M. Herrington, Yue Wang
2021	—	`conf`	Blind Hyperspectral Inpainting Via John Ellipsoid. WHISPERS Chia-Hsiang Lin, Yangrui Liu
2021	J	`jnl`	Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels. CoRR Chandradeep Singh, Chia-Hsiang Lin, Kamal Singh
2021	J	`jnl`	DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite. IEEE Trans. Geosci. Remote. Sens. Chih-Chung Hsu, Chia-Hsiang Lin, Chi-Hung Kao, Yen-Cheng Lin
2021	C	`conf`	Deep Hyperspectral Tensor Completion Just Using Small Data. IGARSS Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang, Man-Chun Chu
2021	C	`conf`	Fast Unsupervised Spatiotemporal Super-Resolution for Multispectral Satellite Imaging Using Plug-and-Play Machinery Strategy. IGARSS Chia-Hsiang Lin, Cheng-Yu Sie, Pang-Yu Lin, Jhao-Ting Lin
2021	—	`conf`	Inverse Problem Transform: Solving Hyperspectral Inpainting Via Deterministic Compressed Sensing. WHISPERS Chia-Hsiang Lin, Po-Wei Tang
2021	J	`jnl`	Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI. CoRR Kamal Singh, Chandradeep Singh, Chia-Hsiang Lin
2021	J	`jnl`	Nonnegative Blind Source Separation for Ill-Conditioned Mixtures via John Ellipsoid. IEEE Trans. Neural Networks Learn. Syst. Chia-Hsiang Lin, José M. Bioucas-Dias
2021	J	`jnl`	Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel. CoRR Chandradeep Singh, Chia-Hsiang Lin
2020	—	`conf`	A New Hyperspectral Compressed Sensing Method for Efficient Satellite Communications. SAM Chia-Hsiang Lin, José M. Bioucas-Dias, Tzu-Hsuan Lin, Yen-Cheng Lin, Chi-Hung Kao
2020	J	`jnl`	An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, José M. Bioucas-Dias
2020	A*	`conf`	Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. ACM Multimedia Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang, Chia-Hsiang Lin, Chi-Hung Kao
2019	—	`conf`	AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 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, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan
2019	J	`jnl`	AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler
2019	J	`jnl`	An Outlier-Insensitive Unmixing Algorithm With Spatially Varying Hyperspectral Signatures. IEEE Access Yao-Rong Syu, Chia-Hsiang Lin, Chong-Yung Chi
2019	—	`conf`	Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. ICCV Workshops Chih-Chung Hsu, Chia-Hsiang Lin
2019	J	`jnl`	Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. CoRR Chih-Chung Hsu, Chia-Hsiang Lin
2019	C	`conf`	Panchromatic Sharpening of Multispectral Satellite Imagery Via an Explicitly Defined Convex Self-Similarity Regularization. IGARSS Chia-Hsiang Wang, Chia-Hsiang Lin, José M. Bioucas-Dias, Wei-Cheng Zheng, Kuo-Hsin Tseng
2019	J	`jnl`	Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. Lina Zhuang, Chia-Hsiang Lin, Mário A. T. Figueiredo, José M. Bioucas-Dias
2019	C	`conf`	Unsupervised Change Detection in Multitemporal Multispectral Satellite Images: A Convex Relaxation Approach. IGARSS Wei-Cheng Zheng, Chia-Hsiang Lin, Kuo-Hsin Tseng, Chih-Yuan Huang, Tang-Huang Lin, Chia-Hsiang Wang, Chong-Yung Chi
2018	J	`jnl`	A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Fei Ma, Chong-Yung Chi, Chih-Hsiang Hsieh
2018	J	`jnl`	Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion. IEEE Trans. Neural Networks Learn. Syst. Chia-Hsiang Lin, Chong-Yung Chi, Lulu Chen, David J. Miller, Yue Wang
2018	C	`conf`	Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances. IGARSS Chia-Hsiang Lin, José M. Bioucas-Dias
2018	J	`jnl`	Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization. SIAM J. Imaging Sci. Chia-Hsiang Lin, Ruiyuan Wu, Wing-Kin Ma, Chong-Yung Chi, Yue Wang
2018	—	`conf`	New Theory for Unmixing ILL-Conditioned Hyperspectral Mixtures. SAM Chia-Hsiang Lin, José M. Bioucas-Dias
2018	—	`conf`	Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral Mixtures. SSP Chia-Hsiang Lin, José M. Bioucas-Dias
2017	J	`jnl`	Outage Constrained Robust Hybrid Coordinated Beamforming for Massive MIMO Enabled Heterogeneous Cellular Networks. IEEE Access Guixian Xu, Chia-Hsiang Lin, Weiguo Ma, Shanzhi Chen, Chong-Yung Chi
2017	—	`conf`	Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks. ICC Guixian Xu, Chia-Hsiang Lin, Weiguo Ma, Chong-Yung Chi
2016	J	`jnl`	A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. IEEE Trans. Signal Process. Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan
2016	J	`jnl`	Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI. IEEE Trans. Biomed. Eng. Arul-Murugan Ambikapathi, Tsung-Han Chan, Chia-Hsiang Lin, Fei-Shih Yang, Chong-Yung Chi, Yue Wang
2015	J	`jnl`	A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. CoRR Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan
2015	Misc	`conf`	A fast hyperplane-based MVES algorithm for hyperspectral unmixing. ICASSP Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan
2015	J	`jnl`	Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case. IEEE Trans. Geosci. Remote. Sens. Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li, Chong-Yung Chi, Arul-Murugan Ambikapathi
2015	—	`conf`	When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel? WHISPERS Wing-Kin Ma, Chia-Hsiang Lin, Wei-Chiang Li, Chong-Yung Chi
2014	J	`jnl`	Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case. CoRR Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li, Chong-Yung Chi, Arul-Murugan Ambikapathi
2013	—	`conf`	Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images. WHISPERS Arul-Murugan Ambikapathi, Tsung-Han Chan, Chia-Hsiang Lin, Chong-Yung Chi
2013	Misc	`conf`	On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case. ICASSP Chia-Hsiang Lin, Arul-Murugan Ambikapathi, Wei-Chiang Li, Chong-Yung Chi
2010	J	`jnl`	A Li-Ion Battery Charger With Smooth Control Circuit and Built-In Resistance Compensator for Achieving Stable and Fast Charging. IEEE Trans. Circuits Syst. I Regul. Pap. Chia-Hsiang Lin, Chun-Yu Hsieh, Ke-Horng Chen
2008	C	`conf`	A programmable dual hysteretic window comparator. ISCAS Hong-Wei Huang, Chia-Hsiang Lin, Ke-Horng Chen
2008	—	`conf`	Built-in resistance compensation (BRC) technique for fast charging Li-Ion battery charger. CICC Chia-Hsiang Lin, Hong-Wei Huang, Ke-Horng Chen
2008	—	`conf`	Fast charging technique for Li-Ion battery charger. ICECS Chia-Hsiang Lin, Chi-Lin Chen, Yu-Huei Lee, Shih-Jung Wang, Chun-Yu Hsieh, Hong-Wei Huang, Ke-Horng Chen
2008	—	`conf`	Fast transient technique (FTT) in buck current-mode DC-DC converters for low-voltage SoC systems. CICC Chia-Hsiang Lin, Hong-Wei Huang, Ke-Horng Chen
2008	—	`conf`	High-performance low-dropout regulator achieved by fast transient mechanism. ESSCIRC Hong-Wei Huang, Chia-Hsiang Lin, Ke-Horng Chen