Full-Time
 
Kuang-Hsun Lin
Kuang-Hsun Lin
Assistant Professor
Group:
Wireless Communications
Office:
ED828
Phone:
54527
E-mail:
khlin@nycu.edu.tw
Website:
https://kuang-hsun-lin.github.io/
Research:
Smart Networks
  • Biography

  • Experience, Honors and Awards
    類別
    年度
    獎項名稱
    頒獎單位
    校外榮譽事項
    2017
    指導學生陳國銘、汪楷程參與鈦思科技2017MATLAB & Simulink技術與應用文章/論文徵選比賽,作品「基於MATLAB®與機器學習之LTE-A網路自我診斷平台」榮獲論文佳作奨
    鈦思科技

  • Journals
    年度
    論文名稱
    2019
    K. M. Chen, T. H. Chang, K. C. Wang, H. P. Liu and T. S. Lee, Machine Learning Based Automatic Diagnosis in Mobile Communication Networks, to appear in IEEE Trans. Vehicular Technologies, 2019
    2019
    Y. C. Lin, T. S. Lee, Y. H. Pan and K. H. Lin, Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars, IEEE Access ( Early Access ), 2019

  • Conference Papers
    年度
    論文名稱
    2019
    K. M. Chen, T. H. Chang, K. C. Wang, H. P. Liu and T. S. Lee, Machine Learning Based Automatic Diagnosis in Mobile Communication Networks, to appear in IEEE Trans. Vehicular Technologies, 2019
    2019
    Y. C. Lin, T. S. Lee, Y. H. Pan and K. H. Lin, Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars, IEEE Access ( Early Access ), 2019

  • Book Chapters
    年度
    論文名稱
    2019
    K. M. Chen, T. H. Chang, K. C. Wang, H. P. Liu and T. S. Lee, Machine Learning Based Automatic Diagnosis in Mobile Communication Networks, to appear in IEEE Trans. Vehicular Technologies, 2019
    2019
    Y. C. Lin, T. S. Lee, Y. H. Pan and K. H. Lin, Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars, IEEE Access ( Early Access ), 2019

  • Patents
    年度
    論文名稱
    2019
    K. M. Chen, T. H. Chang, K. C. Wang, H. P. Liu and T. S. Lee, Machine Learning Based Automatic Diagnosis in Mobile Communication Networks, to appear in IEEE Trans. Vehicular Technologies, 2019
    2019
    Y. C. Lin, T. S. Lee, Y. H. Pan and K. H. Lin, Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars, IEEE Access ( Early Access ), 2019