EE Building 9F R92907
Associate Professor Chia-Hsiang Lin
Address
Email
TEL
+886-6-2757575 ext.62335
Lab Weblink
Intelligent Hyperspectral Computing Lab
(R92931/ext.62400-1666)
Background
Educations
B.S. in Electrical Engineering, National Tsing Hua University (2010)
Ph.D. in Communications Engineering, National Tsing Hua University (2016)
Experiences
Research Assistant, The Chinese University of Hong Kong, HK (2014)
Research Assistant, Virginia Tech, VA, USA (2015-2016)
Postdoctoral Researcher, The Chinese University of Hong Kong, HK (2017)
Postdoctoral Researcher, University of Lisbon, Portugal (2017-2018)
Assistant Professor, Center for Space and Remote Sensing Research, National Central University (2018)
Assistant Professor, Department of Electrical Engineering, National Cheng Kung University (2019-2021)
Assistant Professor, Miin Wu School of Computing, National Cheng Kung University (2019-2021)
Visiting Professor, University of Lisbon, Portugal (2019)
Director, Division of Algorithm and Optimization, Center for Data Science, National Cheng Kung University (2022-2023)
Director, Division of International Relations, Office of International Affairs, National Cheng Kung University (2023-present)
Associate Professor, Department of Electrical Engineering, National Cheng Kung University (2022-present)
Associate Professor, Miin Wu School of Computing, National Cheng Kung University (2022-present)
Specialities
- blind signal processing / unsupervised machine learning
- hyperspectral image processing
- quantum image processing
- fast algorithm / big data optimization theory
- deep learning
- convex optimization
- 5G/6G wireless communications
- satellite remote sensing
- bio-informatics / biomedical imaging
Publication
Journal
more
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- Chia-Hsiang Lin, and S.-S. Young, “Signal subspace identification for incomplete hyperspectral image with applications to various inverse problems,” accepted by IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Chia-Hsiang Lin, C.-C. Hsu, S.-S. Young, C.-Y. Hsieh, and S.-C. Tai, “QRCODE: Quasiresidual convex deep network for fusing misaligned hyperspectral and multispectral images,” accepted by IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Chia-Hsiang Lin, S.-H. Huang, T.-H. Lin, and P.-C. Wu, “Metasurface-empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory,” accepted by Nature Communications, 2023.
Conference
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- Chia-Hsiang Lin, C.-Y. Kuo, and S.-S. Young, “Quantum adversarial learning for hyperspectral remote sensing,” accepted by IEEE IGARSS, Athens, Greece, July 7-12, 2024
- Chia-Hsiang Lin, S.-S. Young, L.-Y. Chang, and Cynthia S.J. Liu, “Synthesis of high-resolution FORMOSAT-8 satellite image using fast convex deep learning algorithm,” accepted by IEEE IGARSS, Athens, Greece, July 7-12, 2024
- S.-S. Young, *Chia-Hsiang Lin, and J.-T. Lin, “CiDAR-Former: Cosine-weighting deep abundance reconstruction transformer for fast unsupervised hyperspectral anomaly detection,” accepted by IEEE WHISPERS, Athens, Greece, Oct. 31-Nov. 2, 2023.
Patent
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Others
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- C.-Y. Chi, W.-C. Li, and Chia-Hsiang Lin, Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications, CRC Press, Boca Raton, FL, Feb. 2017. (Available in CRC Press; also available in Taiwan SCI-TECH.)
- Chinese version (信号处理与通中的凸优化: 从基础到应用) translated by Chen Xiang (陈翔) and Shen Chao (沈超) and published by 电子工业出版社, Dec. 2020.
Projects
- HyperQUEEN: Hyperspectral Quantum Deep Network for Space Remote, National Science and Technology Council, 2023 to 2027
- Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization, Ministry of Science and Technology (Einstein Program), from 2018 to 2023
- Mathematical Theory and Metagrating Design for Advanced Satellite Imaging, Ministry of Education, 2019 to 2022
- Development of Dynamic Electrical Resistivity Tomography Spectrum: Integration of Numerical Solutions and Disaster Prevention Applications (Co-PI), Ministry of Education, 2019
Classes
2019 Fall
2020 Fall
2021 Fall
Students
Current Academic Year Lab Members
Ph.D.
Tzu-Hsuan Lin
Po-Wei Tang
Jhao-Ting Lin
Zi-Chao Leng
Si-Sheng Young
Shih-Min Hsu
Master
Yo-Yu Lai
Kuan-Huang Yu
Guang-Jie Wei
Yi-Xuan Zhong
Chen-Yu Kuo
Wei-Heng Li
Jhih-Yan Chen
Cheng-Wei Fan
Yung-Sheng Liang
Wei-Chun Lin
Jian-Kai Huang
Bo-Yu Lin
Chen-Yu Liu
Jing-Yun Liang
Undergraduate
Ting-Jyun Yang
Shang-Jyun Shih
Bing-Rong Yang
Yu-Rong Jhang
Chien-Hao Wang
Hsien-Chin Liao
Graduates of all Previous Years
Master
109
Chi-Hung Kao   Cheng-Yu Sie   Yen-Cheng Lin
110
Man-Chun Chu   Shao-Wei Jian
111
Ting-Hsuan Lin   Gheng-Ying Hsieh   Kuan-Huang Yu   Yo-Yu Lai
Bachelor
109
Yi-Xun Li   Zi-Chao Leng
110
Hsiao-Ching Huang   Wan-Hsuan Lin   Pai-Chuan Chang   You-Yao Chen
111
Yen-Ting Ho   Jong-Zing Sui   Che-Yu Wu
Honors
- 113th National Salvation Corps Youth Medal Winner,2024.
- Emerging Young Scholar Award from National Science and Technology Council (2030 Cross-Generation Young Scholars Program)
- Teaching Excellence Award, National Cheng Kung University, 2023.
- Excellent Mentor Award, National Cheng Kung University, 2023.
- Outstanding Poster Exhibition Award, Communications Engineering Program, National Science and Technology Council, 2023.
- Outstanding Youth Electrical Engineer Award, The Chinese Institute of Electrical Engineering, 2022.
- FutureTech Award, National Science and Technology Council, 2022.
- Outstanding Paper Award from IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2022.
- Outstanding Poster Exhibition Award, Communications Engineering Program, Ministry of Science and Technology, 2022.
- Best Young Professional Member Award, IEEE Tainan Section, 2021.
- Outstanding Paper Award from IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2021.
- Excellent Research Project Award, Communications Engineering Program, Ministry of Science and Technology, 2021.
- Top Performance Award, Social Media Prediction Challenge, ACM Multimedia, 2020.
- Outstanding Paper Award from IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2020.
- Symposium Interactive Session Prize Paper Award (IGARSS'19) from IEEE Geoscience & Remote Sensing Society, 2020.
- 3rd Place (Objective) and 5th Place (Subjective), AIM Real World Super-Resolution Challenge, IEEE International Conference on Computer Vision (ICCV), 2019.
- Einstein Grant Award from Ministry of Science and Technology, from 2018 to 2023.
- Best Doctoral Dissertation Award from IEEE Geoscience & Remote Sensing Society, 2016.
- Outstanding Dissertation Award, Chinese Image Processing and Pattern Recognition (IPPR) Society, 2016.