Chia-Hsiang Lin

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 53

Top Topics

Convex Optimization

Compressed Sensing

Change Detection

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Chia-Hsiang Lin, You-Yao Chen
Quantum Deep Hyperspectral Satellite Remote Sensing. IGARSS (2023)
Tzu-Hsuan Lin, Chia-Hsiang Lin, Si-Sheng Young
GNN-Based Small-Data Learning with Area-Control Mechanism for Hyperspectral Satellite Change Detection. APSIPA ASC (2023)
Chia-Hsiang Lin, Man-Chun Chu, Po-Wei Tang
CODE-MM: Convex Deep Mangrove Mapping Algorithm Based on Optical Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Tzu-Hsuan Lin, Chia-Hsiang Lin
Hyperspectral Change Detection Using Semi-Supervised Graph Neural Network and Convex Deep Learning. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Chia-Hsiang Lin, You-Yao Chen
HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Si-Sheng Young, Chia-Hsiang Lin, Jhao-Ting Lin
CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection. WHISPERS (2023)
Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu
Optimization-Based Hyperspectral Spatiotemporal Super-Resolution. IEEE Access 10 (2022)
Po-Wei Tang, Chia-Hsiang Lin
Hyperspectral Dehazing Using Admm-Adam Theory. WHISPERS (2022)
Tzu-Hsuan Lin, Chia-Hsiang Lin
Single Hyperspectral Image Super-Resolution Using Admm-Adam Theory. IGARSS (2022)
Jhao-Ting Lin, Chia-Hsiang Lin
Real-Time Hyperspectral Anomaly Detection using Collaborative Superpixel Representation with Boundary Refinement. IGARSS (2022)
Yangrui Liu, Chia-Hsiang Lin, Yu-Chun Kuo
Low-Rank Representation With Morphological-Attribute-Filter Based Regularization For Hyperspectral Anomaly Detection. WHISPERS (2022)
Chi-Han Lee, Ronald Y. Chang, Shin-Ming Cheng, Chia-Hsiang Lin, Chiu-Han Hsiao
Joint Beamforming and Power Allocation for M2M/H2H Co-Existence in Green Dynamic TDD Networks: Low-Complexity Optimal Designs. IEEE Internet Things J. 9 (6) (2022)
Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang
ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Chia-Hsiang Lin, Tzu-Hsuan Lin, Ting-Hsuan Lin, Tang-Huang Lin
Fast Reconstruction of Hyperspectral Image From its RGB Counterpart Using ADMM-Adam Theory. WHISPERS (2022)
Chia-Hsiang Lin, Tzu-Hsuan Lin
All-Addition Hyperspectral Compressed Sensing for Metasurface-Driven Miniaturized Satellite. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Chia-Hsiang Lin, Man-Chun Chu, Hone-Jay Chu
High-Dimensional Multiresolution Satellite Image Classification: An Approach Blending The Advantages Of Convex Optimization And Deep Learning. WHISPERS (2022)
Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu
A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution. WHISPERS (2022)
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
swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution. Bioinform. 38 (5) (2022)
Chia-Hsiang Lin, Po-Wei Tang
Inverse Problem Transform: Solving Hyperspectral Inpainting Via Deterministic Compressed Sensing. WHISPERS (2021)
Chia-Hsiang Lin, José M. Bioucas-Dias
Nonnegative Blind Source Separation for Ill-Conditioned Mixtures via John Ellipsoid. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang, Man-Chun Chu
Deep Hyperspectral Tensor Completion Just Using Small Data. IGARSS (2021)
Chandradeep Singh, Chia-Hsiang Lin, Kamal Singh
Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels. CoRR (2021)
Chia-Hsiang Lin, Yangrui Liu
Blind Hyperspectral Inpainting Via John Ellipsoid. WHISPERS (2021)
Chandradeep Singh, Chia-Hsiang Lin
Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel. CoRR (2021)
Chia-Hsiang Lin, Cheng-Yu Sie, Pang-Yu Lin, Jhao-Ting Lin
Fast Unsupervised Spatiotemporal Super-Resolution for Multispectral Satellite Imaging Using Plug-and-Play Machinery Strategy. IGARSS (2021)
Kamal Singh, Chandradeep Singh, Chia-Hsiang Lin
Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI. CoRR (2021)
Chih-Chung Hsu, Chia-Hsiang Lin, Chi-Hung Kao, Yen-Cheng Lin
DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite. IEEE Trans. Geosci. Remote. Sens. 59 (9) (2021)
Chia-Hsiang Lin, José M. Bioucas-Dias, Tzu-Hsuan Lin, Yen-Cheng Lin, Chi-Hung Kao
A New Hyperspectral Compressed Sensing Method for Efficient Satellite Communications. SAM (2020)
Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang, Chia-Hsiang Lin, Chi-Hung Kao
Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. ACM Multimedia (2020)
Chia-Hsiang Lin, José M. Bioucas-Dias
An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 58 (5) (2020)
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
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR (2019)
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
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops (2019)
Lina Zhuang, Chia-Hsiang Lin, Mário A. T. Figueiredo, José M. Bioucas-Dias
Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 57 (12) (2019)
Yao-Rong Syu, Chia-Hsiang Lin, Chong-Yung Chi
An Outlier-Insensitive Unmixing Algorithm With Spatially Varying Hyperspectral Signatures. IEEE Access 7 (2019)
Chih-Chung Hsu, Chia-Hsiang Lin
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. ICCV Workshops (2019)
Wei-Cheng Zheng, Chia-Hsiang Lin, Kuo-Hsin Tseng, Chih-Yuan Huang, Tang-Huang Lin, Chia-Hsiang Wang, Chong-Yung Chi
Unsupervised Change Detection in Multitemporal Multispectral Satellite Images: A Convex Relaxation Approach. IGARSS (2019)
Chih-Chung Hsu, Chia-Hsiang Lin
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. CoRR (2019)
Chia-Hsiang Wang, Chia-Hsiang Lin, José M. Bioucas-Dias, Wei-Cheng Zheng, Kuo-Hsin Tseng
Panchromatic Sharpening of Multispectral Satellite Imagery Via an Explicitly Defined Convex Self-Similarity Regularization. IGARSS (2019)
Chia-Hsiang Lin, José M. Bioucas-Dias
New Theory for Unmixing ILL-Conditioned Hyperspectral Mixtures. SAM (2018)
Chia-Hsiang Lin, Fei Ma, Chong-Yung Chi, Chih-Hsiang Hsieh
A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion. IEEE Trans. Geosci. Remote. Sens. 56 (3) (2018)
Chia-Hsiang Lin, Chong-Yung Chi, Lulu Chen, David J. Miller, Yue Wang
Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Chia-Hsiang Lin, Ruiyuan Wu, Wing-Kin Ma, Chong-Yung Chi, Yue Wang
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization. SIAM J. Imaging Sci. 11 (2) (2018)
Chia-Hsiang Lin, José M. Bioucas-Dias
Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral Mixtures. SSP (2018)
Chia-Hsiang Lin, José M. Bioucas-Dias
Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances. IGARSS (2018)
Guixian Xu, Chia-Hsiang Lin, Weiguo Ma, Chong-Yung Chi
Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks. ICC (2017)
Guixian Xu, Chia-Hsiang Lin, Weiguo Ma, Shanzhi Chen, Chong-Yung Chi
Outage Constrained Robust Hybrid Coordinated Beamforming for Massive MIMO Enabled Heterogeneous Cellular Networks. IEEE Access 5 (2017)
Arul-Murugan Ambikapathi, Tsung-Han Chan, Chia-Hsiang Lin, Fei-Shih Yang, Chong-Yung Chi, Yue Wang
Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI. IEEE Trans. Biomed. Eng. 63 (4) (2016)
Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. IEEE Trans. Signal Process. 64 (8) (2016)
Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. CoRR (2015)
Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li, Chong-Yung Chi, Arul-Murugan Ambikapathi
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case. IEEE Trans. Geosci. Remote. Sens. 53 (10) (2015)
Wing-Kin Ma, Chia-Hsiang Lin, Wei-Chiang Li, Chong-Yung Chi
When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel? WHISPERS (2015)
Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan
A fast hyperplane-based MVES algorithm for hyperspectral unmixing. ICASSP (2015)
Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li, Chong-Yung Chi, Arul-Murugan Ambikapathi
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case. CoRR (2014)
Chia-Hsiang Lin, Arul-Murugan Ambikapathi, Wei-Chiang Li, Chong-Yung Chi
On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case. ICASSP (2013)
Arul-Murugan Ambikapathi, Tsung-Han Chan, Chia-Hsiang Lin, Chong-Yung Chi
Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images. WHISPERS (2013)
Chia-Hsiang Lin, Chun-Yu Hsieh, Ke-Horng Chen
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. (2) (2010)
Chia-Hsiang Lin, Hong-Wei Huang, Ke-Horng Chen
Built-in resistance compensation (BRC) technique for fast charging Li-Ion battery charger. CICC (2008)
Chia-Hsiang Lin, Hong-Wei Huang, Ke-Horng Chen
Fast transient technique (FTT) in buck current-mode DC-DC converters for low-voltage SoC systems. CICC (2008)
Hong-Wei Huang, Chia-Hsiang Lin, Ke-Horng Chen
A programmable dual hysteretic window comparator. ISCAS (2008)
Hong-Wei Huang, Chia-Hsiang Lin, Ke-Horng Chen
High-performance low-dropout regulator achieved by fast transient mechanism. ESSCIRC (2008)
Chia-Hsiang Lin, Chi-Lin Chen, Yu-Huei Lee, Shih-Jung Wang, Chun-Yu Hsieh, Hong-Wei Huang, Ke-Horng Chen
Fast charging technique for Li-Ion battery charger. ICECS (2008)