NCKU EE 教師個人頁面
English Version
林家祥 助理教授
地址
奇美系館4樓95402室
TEL
+886-6-2757575 ext.62335
實驗室網站連結
學經歷
學歷
2016
國立清華大學通訊博士
2010
國立清華大學電機學士
經歷
2019-
國立成功大學助理教授
2018
國立中央大學助理教授(專案)
2017-2018
葡萄牙里斯本大學博士後研究員
2017
香港中文大學訪問學者
2016-2017
國立清華大學博士後研究員
2015-2016
美國 Virginia Tech 訪問學生
2014
香港中文大學訪問學生
研究領域
  • 盲蔽訊號源分離
  • 超光譜影像處理
  • 大數據優化理論
  • 快速演算法
  • 5G無線通訊
  • 電腦視覺
  • 衛星遙測
  • 生物醫學
  • 凸幾何
著作
期刊論文( Journal )
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  1. Chia-Hsiang Lin, C.-Y. Chi, L. Chen, D. J. Miller, and Y.Wang, “Detection of sources in non-negative blind source separation by minimum description length criterion,” IEEE Trans. Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4022-4037, Sep. 2018.
  2. Chia-Hsiang Lin, R. Wu, W.-K. Ma, C.-Y. Chi, and Y. Wang, “Maximum volume inscribed ellipsoid: A new simplex-structured matrix factorization framework via facet enumeration and convex optimization,” SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1651-1679, 2018.
  3. Chia-Hsiang Lin, F. Ma, C.-Y. Chi, and C.-H. Hsieh, “A convex optimization based coupled non-negative matrix factorization algorithm for hyperspectral and multispectral data fusion,” IEEE Trans. Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1652-1667, Mar. 2018.
  4. G. Xu, Chia-Hsiang Lin, W. Ma, S. Chen, and C.-Y. Chi, “Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks,” IEEE Access, vol. 5, pp. 13601-13616, Mar. 2017.
  5. Chia-Hsiang Lin, C.-Y. Chi, Y.-H. Wang, and T.-H. Chan, “A fast hyperplane-based minimum-volume enclosing simplex algorithm for blind hyperspectral unmixing,” IEEE Trans. Signal Processing, vol. 64, no. 8, pp. 1946-1961, Apr. 2016.
  6. A. Ambikapathi, T.-H. Chan, Chia-Hsiang Lin, F.-S. Yang, C.-Y. Chi, and Y. Wang, “Convex optimization-based compartmental pharmacokinetic analysis for prostate tumor characterization using DCE-MRI,” IEEE Trans. Biomedical Engineering, vol. 63, no. 4, pp. 707-720, Apr. 2016.
  7. Chia-Hsiang Lin, W.-K. Ma, W.-C. Li, C.-Y. Chi, and A. Ambikapathi, “Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no pure-pixel case,” IEEE Trans. Geoscience and Remote Sensing, vol. 53, no. 10, pp. 5530-5546, Oct. 2015.
會議論文( Conference )
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  1. Chia-Hsiang Lin and J. M. Bioucas-Dias, “New theory for unmixing ill-conditioned hyperspectral mixtures,” in Proc. IEEE SAM, Sheffield, UK, July 8-11, 2018. (Invited Paper)
  2. Chia-Hsiang Lin and J. M. Bioucas-Dias, “Linear spectral unmixing via matrix factorization: Identifiability criteria for sparse abundances,” in Proc. IEEE IGARSS, Valencia, Spain, July 23-27, 2018.
  3. Chia-Hsiang Lin and J. M. Bioucas-Dias, “Provably and robust blind source separation of ill-conditioned hyperspectral mixtures,” in Proc. IEEE SSP, Freiburg, Germany, June 10-13, 2018.
  4. G. Xu, Chia-Hsiang Lin, W. Ma, and C.-Y. Chi, “Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks,” in Proc. IEEE ICC, Paris, France, May 21-25, 2017.
  5. W.-K. Ma, Chia-Hsiang Lin, W.-C. Li, and C.-Y. Chi, “When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel?,” in Proc. IEEE WHISPERS, Tokyo, Japan, June 2-5, 2015.
  6. Chia-Hsiang Lin, C.-Y. Chi, Y.-H. Wang, and T.-H. Chan, “A fast hyperplane-based MVES algorithm for hyperspectral unmixing,” in Proc. IEEE ICASSP, Brisbane, Australia, Apr. 19-24, 2015.
  7. A. Ambikapathi, T.-H. Chan, Chia-Hsiang Lin, and C.-Y. Chi, “Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images,” in Proc. IEEE WHISPERS, Gainesville, Florida, USA, June 25-28, 2013. (Invited Paper)
  8. Chia-Hsiang Lin, A. Ambikapathi, W.-C. Li, and C.-Y. Chi, “On the endmember identifiability of Craig’s criterion for hyperspectral unmixing: A statistical analysis for three-source case,” in Proc. IEEE ICASSP, Vancouver, Canada, May 26-31, 2013.
專利
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其他
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  1. (Book) 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. (432 pages)
研究計劃
  1. 基於凸幾何與大數據優化之前瞻盲蔽訊號源分離與高光譜超解析度成像,科技部(愛因斯坦培植計畫),2018~2023
開授課程
    指導學生
    本學年度 實驗室成員
    已畢業學生
    特殊榮譽
    1. 科技部「愛因斯坦培植計畫」(2018~2023)
    2. 國際電機電子工程師學會/地科與遙測學會「最佳博士論文獎」(2016)
    3. 中華民國影像處理與圖形識別學會「佳作博士論文獎」(2016)
    4. 斐陶斐榮譽學會榮譽會員(2016)