Bio:
Prof. Chun-Yi Lee’s research primarily focuses on deep reinforcement learning (DRL), intelligent robotics, computer vision (CV), and parallel computing systems. His contributions include developing key deep learning methodologies for intelligent robotics, such as sim-to-real and real-to-sim training, transfer techniques for robotic policies, digital twins, scene coordinate regression approaches, and domain adaptation techniques for semantic segmentation models.
He has also advanced exploration approaches for DRL agents, multi-agent reinforcement learning (MARL) techniques, and generative modeling methodologies, including super-resolution and score-based generative models, as well as autonomous navigation strategies. His work has been published at major artificial intelligence (AI) conferences such as NeurIPS, CVPR, IJCAI, AAMAS, ICLR, ICML, ECCV, BMVC, CoRL, ICRA, IROS, GTC, MVA, and others.
Additionally, his research appears in top AI journals, including IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Journal of Machine Learning Research (JMLR), and ACM Transactions on Evolutionary Learning and Optimization (TELO).
Parallel Systems Research
In the realm of parallel systems, Prof. Lee has introduced innovative graphics processing unit (GPU) enhancement methodologies to improve efficiency. His work in this area has been published in IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), the Design Automation Conference (DAC), the Asia and South Pacific Design Automation Conference (ASP-DAC), and International Conference on Computer Design (ICCD).
Impact and Awards
Prof. Chun-Yi Lee’s research is particularly impactful in autonomous systems, decision-making systems, game engines, and generative-AI based robotic applications.
In 2024, Prof. Lee was awarded the Delta Young Technology Scholar Award, the MARC Academia-Industry Collaboration Excellent Research Award by MediaTek Inc., and received the Garmin Scholar Fellowship from Garmin Inc. He was honored with the Academia Sinica Early-Career Investigator Research Achievement Award in 2022 and the Ta-You Wu Memorial Award from the Ministry of Science and Technology (MOST) in 2020. These prestigious awards in Taiwan recognize outstanding achievements in intelligence computing for young researchers.
Prof. Lee has garnered numerous accolades, including outstanding research awards, distinguished teaching awards, innovation teaching awards, young scholar research awards, and contribution awards from institutions such as NVIDIA Deep Learning Institute (DLI), The Taiwan IC Design Society (TICD), the Foundation for the Advancement of Outstanding Scholarship (FAOS), The Chinese Institute of Electrical Engineering (CIEE), Taiwan Semiconductor Industry Association (TSIA), Institute of Information & Computing Machinery (IICM), and National Tsing Hua University (NTHU).
Academic Service
In the academic community, Prof. Lee will serve as the Program Co-Chair at the International Conference on Machine Vision Applications (MVA) in 2025, and the Journal Track Chair at the Asian Conference on Machine Learning (ACML) in 2025.
He has served as the Area Chair at NeurIPS 2023–2025, ICML 2025, ICLR 2024, and ACML 2024, and as Tutorial Chair of MVA 2023. His roles have included committee member and reviewer at numerous international and domestic conferences.
He has been Session Chair and Technical Program Committee Member multiple times at IROS, ASP-DAC, NoCs, ISVLSI, and MVA, and has held various chair roles at different international conferences.
Editorial and Workshop Contributions
Prof. Lee has served as paper reviewer for NeurIPS, ICML, CVPR, ICLR, AAAI, ICCV, BMVC, ICRA, IROS, IEEE TPAMI, IEEE TVLSI, IEEE TCAD, IEEE ISSCC, and IEEE ASP-DAC on multiple occasions.
He was the main organizer of the 3rd, 4th, and 5th Augmented Intelligence and Interaction (AII) Workshops from 2019 to 2023, and chaired the ACML Workshop on Machine Learning for Mobile Robot Vision and Control (MRVC) in 2021.
Leadership and Memberships
Prof. Lee served as the Director of the NVIDIA-NTHU Joint Innovation Center from 2023 to 2024, and as the Co-Director of the MOST Office for International AI Research Collaboration from 2018 to 2020. Since 2024, Prof. Lee has served as the Co-Director of the NVIDIA-NTU Joint Innovation Center.
Prof. Lee is a professional member of IEEE and ACM.