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donghoonlee [at] kaist.ac.kr I'm a Ph.D. student in the School of AI at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Seunghoon Hong. I'm interested in machine learning problems with limited supervisions, e.g., self-supervised learning, few-shot learning. Google Scholar / Github / CV |
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Dong Hoon Lee, Seunghoon Hong Advances in Neural Information Processing Systems (NeurIPS), 2024. pdf / code |
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Dong Hoon Lee, Sungik Choi, Hyunwoo Kim and Sae-Young Chung Advances in Neural Information Processing Systems (NeurIPS), 2022. pdf / code |
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Dong Hoon Lee and Sae-Young Chung Proceedings of the 38th International Conference on Machine Learning (ICML), 2021. pdf / code |
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2018~ current: Ph.D. student in the School of AI, KAIST, Daejeon, Korea 2016~2018: M.S. in Enelctrical Engineering, KAIST, Daejeon, Korea 2012~2016: B.S. in Enelctrical Engineering, KAIST, Daejeon, Korea 2009~2011: Korea Science Academy, Busan, Korea |
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Research Intern, LG AI Research, Seoul, Korea, 2022 |
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NeurIPS 2022 Scholar Award, 2022 Qualcomm Innovation Fellowship, 2021 South Korea Finalist, 2021 Korea Government Fellowship, March 2021 to present |
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2019 fall: TA, EE807 Special Topics in Electrical Engineering. Deep Reinforcement Learning and AlphaGo, KAIST. 2019 spring : TA, EE405 Electronics Design Lab. Network of Smart Things, KAIST. 2018 fall: TA, EE405 Electronics Design Lab. Robocam, KAIST. 2018 spring: TA, EE807 Special Topics in Electrical Engineering. Mathematical Foundation of Reinforcement Learning, KAIST. 2017 spring: TA, EE210 Probability and Introductory Random Processes, KAIST. |
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