Kyunghyun Lee
Scholar

Kyunghyun Lee

Google Scholar ID: WOBfTQoAAAAJ
Gachon University
Citations & Impact
All-time
Citations
284
 
H-index
9
 
i10-index
9
 
Publications
14
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - Scalable Evolutionary Reinforcement Learning with Asynchronous Critic Update and Distributed Local Replay, Under review, 2025
  • - Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning, IEEE International Conference on Robotics and Automation (ICRA) 2025, Oral Presentation
  • - Learning to Control Camera Exposure via Reinforcement Learning, Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) 2024
  • - Complementary Random Masking for RGB-T Semantic Segmentation, IEEE International Conference on Robotics and Automation (ICRA) 2024, Oral Presentation
  • - Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation, IEEE Winter Conference on Applications of Computer Vision (WACV) 2023, Best Student Paper Award
  • - Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion, IEEE Robotics and Automation Letters (RA-L) 2022, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022, Oral Presentation
  • - DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022, Oral Presentation
Research Experience
  • - Gachon University, Gyeonggi-do, Mar 2025 - Present, Assistant Professor, Computer Science Dept
  • - LG AI Research, Seoul, Aug 2023 - Feb 2025, AI Scientist, Data Intelligence Lab
  • - The Robotics Institute, Carnegie Mellon University, Pittsburgh PA, USA, Jun 2019 - Aug 2019, Visiting Researcher, Advisors: Jean Oh, Martial Hebert
  • - UVify, Inc., Seoul, Mar 2015 - Jul 2018, CPO, Electronics and software engineering in OORI and DRACO
Education
  • - Ph.D., 2023, Korea Advanced Institute of Science and Technology (KAIST), Robotics Program, Advisor: In So Kweon
  • - MS, 2015, Seoul National University (SNU), Aerospace Engineering, Advisor: Youdan Kim
  • - BS, 2012, Pohang University of Science and Technology (POSTECH), Mechanical Engineering, GPA: 3.81/4.3
Background
  • Research Interests: Machine Learning, Reinforcement Learning, and Robotics. Brief Introduction: An assistant professor in the Computer Science department since 2025, previously worked as an AI Scientist at LG AI Research.