Chia-Hsiang Lin - Concepedia

Author

Chia-Hsiang Lin

National Cheng Kung University ORCID

Also Known As

C. L. Lin, C.L. Lin, Chia-Hsiang Lin, Hwa Liao, Lin, C. -L., Lin, Chia Hsiang, Lin, Chia-Hsiang, Liu, Kuang-Hao

130

Publications

2.1K

Citations

H-Index

Concepts

All Affiliations

National Cheng Kung University National Tsing Hua University National Yang Ming Chiao Tung University University of Lisbon Instituto de Telecomunicações

About

Chia-Hsiang Lin is an author at National Cheng Kung University specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	24	1.1K
2	Applied Physics	2	2	87
3	Health Sciences	1	1	65
4	Medicine	1	1	14
5	Natural Sciences	1	1	51

Chia-Hsiang Lin

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
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 Transactions on Circuits and Systems I Regular Papers Electric BatteryBrc TechniqueElectrical EngineeringEngineeringLi-ion Battery Materials	2009	138
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr, Martin Danelljan, Radu Timofte, High ResolutionEngineeringMachine LearningAim 2019Real World Setting	2019	122
A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion Chia-Hsiang Lin, Fei Ma, Chong‐Yung Chi, IEEE Transactions on Geoscience and Remote Sensing	2017	116
Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing Lina Zhuang, Chia-Hsiang Lin, Mário A. T. Figueiredo, IEEE Transactions on Geoscience and Remote Sensing Numerical AnalysisLow-rank ApproximationSparse RepresentationEngineeringMachine Learning	2019	115
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, IEEE Transactions on Geoscience and Remote Sensing	2015	108
Metasurface-empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory Chia-Hsiang Lin, Shih‐Hsiu Huang, Ting-Hsuan Lin, Nature Communications	2023	80
Automatic Inverse Design of High-Performance Beam-Steering Metasurfaces via Genetic-type Tree Optimization Chia-Hsiang Lin, Yu‐Sheng Chen, Jhao-Ting Lin, Nano Letters Optical MaterialsEngineeringNano-opticsNegative-index MetamaterialMetasurfaces	2021	77
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing Chia-Hsiang Lin, Chong‐Yung Chi, Yu-Hsiang Wang, IEEE Transactions on Signal Processing	2015	76
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 Transactions on Geoscience and Remote Sensing Image ReconstructionEngineeringMachine LearningImage AnalysisData Science	2021	65
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 Transactions on Geoscience and Remote Sensing EngineeringMachine LearningSentinel-2 Super-resolutionSuper-resolution ImagingDeblurring	2019	58

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