Chia-Hsiang Lin

According to our database, Chia-Hsiang Lin authored at least 62 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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

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

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

HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration.

Chia-Hsiang Lin, You-Yao Chen

IEEE Trans. Geosci. Remote. Sens., 2023

CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection.

Si-Sheng Young, Chia-Hsiang Lin, Jhao-Ting Lin

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Quantum Deep Hyperspectral Satellite Remote Sensing.

Chia-Hsiang Lin, You-Yao Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

GNN-Based Small-Data Learning with Area-Control Mechanism for Hyperspectral Satellite Change Detection.

Tzu-Hsuan Lin, Chia-Hsiang Lin, Si-Sheng Young

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

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

All-Addition Hyperspectral Compressed Sensing for Metasurface-Driven Miniaturized Satellite.

Chia-Hsiang Lin, Tzu-Hsuan Lin

IEEE Trans. Geosci. Remote. Sens., 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

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, Robert Clarke, Guoqiang Yu, Jennifer E. Van Eyk, David M. Herrington, Yue Wang

Bioinform., 2022

Optimization-Based Hyperspectral Spatiotemporal Super-Resolution.

Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu

IEEE Access, 2022

Hyperspectral Dehazing Using Admm-Adam Theory.

Po-Wei Tang, Chia-Hsiang Lin

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Low-Rank Representation With Morphological-Attribute-Filter Based Regularization For Hyperspectral Anomaly Detection.

Yangrui Liu, Chia-Hsiang Lin, Yu-Chun Kuo

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 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

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 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

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 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

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Single Hyperspectral Image Super-Resolution Using Admm-Adam Theory.

Tzu-Hsuan Lin, Chia-Hsiang Lin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Real-Time Hyperspectral Anomaly Detection using Collaborative Superpixel Representation with Boundary Refinement.

Jhao-Ting Lin, Chia-Hsiang Lin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

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

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

Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels.

Chandradeep Singh, Chia-Hsiang Lin, Kamal Singh

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

Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel.

Chandradeep Singh, Chia-Hsiang Lin

CoRR, 2021

Inverse Problem Transform: Solving Hyperspectral Inpainting Via Deterministic Compressed Sensing.

Chia-Hsiang Lin, Po-Wei Tang

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

Blind Hyperspectral Inpainting Via John Ellipsoid.

Chia-Hsiang Lin, Yangrui Liu

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Deep Hyperspectral Tensor Completion Just Using Small Data.

Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang, Man-Chun Chu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

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

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

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

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, 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

CoRR, 2019

An Outlier-Insensitive Unmixing Algorithm With Spatially Varying Hyperspectral Signatures.

Yao-Rong Syu, Chia-Hsiang Lin, Chong-Yung Chi

IEEE Access, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution.

Chih-Chung Hsu, Chia-Hsiang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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, Yue Wang

IEEE Trans. Neural Networks Learn. Syst., 2018

A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion.

Chia-Hsiang Lin, Fei Ma, Chong-Yung Chi, Chih-Hsiang Hsieh

IEEE Trans. Geosci. Remote. Sens., 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

SIAM J. Imaging Sci., 2018

Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral Mixtures.

Chia-Hsiang Lin, José M. Bioucas-Dias

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances.

Chia-Hsiang Lin, José M. Bioucas-Dias

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

New Theory for Unmixing ILL-Conditioned Hyperspectral Mixtures.

Chia-Hsiang Lin, José M. Bioucas-Dias

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

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

Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks.

Guixian Xu, Chia-Hsiang Lin, Weiguo Ma, Chong-Yung Chi

Proceedings of the IEEE International Conference on Communications, 2017

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

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

IEEE Trans. Biomed. Eng., 2016

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

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

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

A fast hyperplane-based MVES algorithm for hyperspectral unmixing.

Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

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

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

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

Proceedings of the IEEE International Conference on Acoustics, 2013

2010

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

2008

A programmable dual hysteretic window comparator.

Hong-Wei Huang, Chia-Hsiang Lin, Ke-Horng Chen

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 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

Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008

High-performance low-dropout regulator achieved by fast transient mechanism.

Hong-Wei Huang, Chia-Hsiang Lin, Ke-Horng Chen

Proceedings of the ESSCIRC 2008, 2008

Built-in resistance compensation (BRC) technique for fast charging Li-Ion battery charger.

Chia-Hsiang Lin, Hong-Wei Huang, Ke-Horng Chen

Proceedings of the IEEE 2008 Custom Integrated Circuits Conference, 2008

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

Proceedings of the IEEE 2008 Custom Integrated Circuits Conference, 2008