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Bio
Prof. Lee’s research focuses on deep reinforcement learning (DRL), intelligent robotics, computer vision (CV), and parallel computing systems. He has 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. He has published a number of research papers on major artificial intelligence (AI) conferences including NeurIPS, CVPR, IJCAI, AAMAS, ICLR, ICML, ECCV, CoRL, ICRA IROS, GTC, and more. He has also published several research papers at IEEE Transaction on Very Large Scale Integration Systems (TVLSI), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ACM Transactions on Evolutionary (TELO), and Design Automation Conference (DAC). He 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 Edge Challenge in 2020.
Research Interests
Papers共 103 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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CoRR (2024)
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Tudor Jianu,Baoru Huang,Minh Nhat Vu,Mohamed E. M. K. Abdelaziz, Sebastiano Fichera,Chun-Yi Lee,Pierre Berthet-Rayne,Ferdinando Rodriguez y Baena, Anh Nguyen
IEEE Transactions on Medical Robotics and Bionicsno. 99 (2024): 1-1
CVPR 2024 (2024)
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CoRR (2024)
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ASPDAC '24: Proceedings of the 29th Asia and South Pacific Design Automation Conferencepp.201-206, (2024)
IEEE transactions on neural networks and learning systemsno. 5 (2024): 7251-7258
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