李濬屹Chun-Yi Lee

國立清華大學資訊工程學系副教授

結合增強式學習與智慧型機器人
國際屢次獲獎拔尖並發表頂尖AI 國際論文

My research focuses on deep reinforcement learning  ( DRL ) , intelligent robotics, computer vision ( CV ) , and parallel computing systems. I have contributed to the discovery and development of key deep learning methodologies for intelligent robotics, such as virtual-to-real training and transferring techniques for robotic policies, real-time acceleration techniques for performing semantic image segmentation, efficient and effective exploration approaches for DRL agents, as well as autonomous navigation strategies.


I have published a number of research papers on major artificial intelligence (AI ) conferences including NeurIPS, CVPR, IJCAI, AAMAS, ICLR, ICML, ECCV, CoRL, IROS, GTC, and more. I founded Elsa Lab at National Tsing Hua University in 2015, and have led the members from Elsa Lab to win several prestigious awards from a number of worldwide robotics and AI challenges, such as the first place at NVIDIA Embedded Intelligent Robotics Challenge in 2016, the first place of the world at NVIDIA Jetson Robotics Challenge in 2018, the second place from the Person-In-Context ( PIC ) Challenge at the European Conference on Computer Vision ( ECCV ) in 2018, and the second place of the world from NVIDIA AI at the E dge Challenge in 2020.


I have also received several outstanding research, teaching, and contribution awards from multiple institutions , such as NVIDIA Deep Learning Institu te ( DLI ) , T h e Foundation for theAdvancement of Outstanding Scholarship ( FAOS ) , The Chinese Institute of Electrical Engineering ( CIEE ) , Taiwan Semiconductor Industr y A ssociation (TSIA), and National Tsing Hua University ( NTHU ) . In addition, I have served as the committee members and reviewers at many international and domestic conferences. My researches are both theoretically and experimentally impactful for autonomous systems, decision making systems, game engines, and vision-AI based robotic applications.

得獎感言

I would like to sincerely thank my parents, my sister, and all the people who gave me guidance, supports, and enc ouragement along the w ay when I s tarted my pr ofessorship five years ago. I would also like to thank my Ph.D. advisors, Prof. Niraj K. Jha, and Prof. Sun- Yuan Kung, and my M.S. advisor, Prof. Chien-Mo Li, for shaping me into a researcher who can think independently and per sist in c onducting novel research direction.


I am also immensely grateful for the kind helps and supports from Prof. Shan-Hong Lai,Prof. Ting-Chi Wang, Prof. Ching-Te Chiu, and Prof. Chuan-Kang Ting from National Tsing Hua University, Prof. Hong-Yuan Mark Liao, Prof. Chu-Song Chen, and Prof. Tyng-Luh Liu from Academia Sinica, and Prof. I-Chen Wu from National Chiao-Tung University. Finally, I would like to express my gratitude to my students from National Tsing Hua University, my collaborators from NVIDIA Corporation, MediaTek Inc., LITE-ON Technology Corporation, as well as Minis try of Scienc e and Technology (MOST).

個人勵志銘

　掌握關鍵技術，厚值相關知識。對自己、對實驗室，敬業負責。對家庭、對社會照顧關懷。