Jaewoo Lee

Jaewoo Lee

MS student in the Graduate School of AI at KAIST

Thanks for visiting my website!
I am Jaewoo Lee (์ด์žฌ์šฐ) (jwlee8877 [at] kaist [dot] ac [dot] kr). Here is my CV (Curriculum Vitae)

I received a M.S. degree of Artificial Intelligence at KAIST, MLAI Lab (Advisor: Prof.Sung Ju Hwang) in 2024. Prior to the M.S. degree, I received my B.S. (Electrical Engineering) degree at KAIST in 2023.

My ultimate goal is to increase the accessibility of AI technology in human life. To achieve this goal, my primary research interests lies in

  • Multimodal Learning. I aim to build a model that understands and communicates through various modalities, which will enhance human-machine interaction that would ultimately expand the accessibility of AI to the people who can only handle certain modality information.
  • Efficient Training. To further enhance the AI accessibility to individuals, it is crucial to address the high training costs associated with developing concurrent models. I aim to minimize the costs by developing algorithms that identify redundancies in training data and opimized the training order.
  • Continual Learning. I am also interested in maintaining models up-to-date by effectively integrating new and emerging knowledge into the models.

๐Ÿ“ Publications

(* denotes the equal contribution and ^ denotes the equal advising)

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  • Concept-skill Transferability-based Data Selection for Large Vision-Language Models [paper]
    Jaewoo Lee, Boyang Li^, Sung Ju Hwang^
    arXiv preprint
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  • STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment [paper] [project] [code]
    Jaewoo Lee*, Jaehong Yoon*, Wonjae Kim, Yunji Kim, Sung Ju Hwang
    International Conference on Machine Learning (ICML), 2024
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  • Sound-based drone fault classification using multitask learning [paper] [dataset]
    Wonjun Yi, Jung-Woo Choi, Jaewoo Lee
    International Congress on Sound and Vibration (ICSV), 2023

๐Ÿ“– Educations

  • 2023.03 - 2024.08, M.S. in Artificial Intelligence. KAIST.
  • 2020.03 - 2023.02, B.S. in Electrical Engineering. KAIST. (Summa Cum Laude)

๐Ÿ’ป Research Experiences

  • 2023.03 - 2024.08, Master degree Student, MLAI Lab, KAIST, South Korea.
    • Under the supervision of Prof. Sung Ju Hwang
  • 2022.07 - 2023.02, Research Intern, MLAI Lab, KAIST, South Korea.
    • Under the supervision of Prof. Sung Ju Hwang
  • 2021.09 - 2022.06, Research Intern, Smart Sound Systems Lab, KAIST, South Korea.
    • Under the supervision of Prof. Jung-Woo Choi
  • 2021.06 - 2021.08, Research Intern, Urban Robotics Lab, KAIST, South Korea.
    • Under the supervision of Prof. Hyun Myung

๐ŸŽ– Honors and Awards

  • KAIST Summa Cum Laude Award, Feb. 2023
  • National Scholarship for Science & Engineering, Sep. 2022 - Feb. 2023
  • Encouragement Award for the Undergraduate Research Program, Aug. 2022
  • KAIST Deanโ€™s List (College of Engineering), Aug. 2022
  • KAIST Deanโ€™s List (School of Freshman), Aug. 2020