About Me

I’m a Ph.D student at Machine Learning and Artificial Intelligence (MLAI) lab in KAIST, under the supervision of Prof. Sung Ju Hwang. I interned at AITRICS (Seoul, South Korea, Winter 2021) and Meta AI (Seattle, WA, expected at Summer 2022)

My research interest includes:

  • Neural architecture search
  • Meta-learning
  • AutoML

News

Feb. 2022. AI/CS/EE Rising stars 2022 award (sponsored by Google Research)
Feb. 2022. I recevied summer research internship offer from Meta AI, Seattle, WA, USA
Jan. 2022. One paper accepted to ICLR 2022 as Spotlight Presentation
Oct. 2021. Best presentation award at KAIST-ADD workshop
Sep. 2021. Two papers accepted to NeurIPS 2021 as Spotlight Presentations
Apr. 2021. Invited talk at Samsung, Suwon, South Korea
Jan. 2021. One paper accepted to ICLR 2021
Dec. 2020. Start of my internship at AITRICS, Seoul, South Korea
Dec. 2020. ICML top reviewer award
Nov. 2020. NAVER Ph.D. fellowship award
Dec. 2019. One paper accepted to ICLR 2020 as Oral Presentation

Education

Work Experiences

International Conference Publications

  • Online Hyperparameter Meta-Learning with Hypergradient Distillation
    [paper]
    Hae Beom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy Hospedales, Sung Ju Hwang
    ICLR 2022, Spotlight Presentation (acceptance = 176 / 3391 = 5.1%)

  • HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
    [paper] [code]
    Hayeon Lee*, Sewoong Lee*, Song Chong, Sung Ju Hwang (*: equal contribution)
    NeurIPS 2021, Spotlight Presentation (acceptance < 3%)

  • Task-Adaptive Neural Network Search with Meta-Contrastive Learning
    [paper] [code]
    Wonyong Jeong*, Hayeon Lee*, Gun Park*, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang (*: equal contribution)
    NeurIPS 2021, Spotlight Presentation (acceptance < 3%)

  • Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
    [paper] [code]
    Hayeon Lee*, Eunyoung Hyung*, Sung Ju Hwang (*: equal contribution)
    ICLR 2021

  • Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
    [paper] [code]
    Hae Beom Lee*, Hayeon Lee*, Donghyun Na*, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang (*: equal contribution)
    ICLR 2020, Oral Presentation (acceptance = 48/2594 = 1.9%)

Domestic Conference Publication

  • Learning Spatial Relationships for Cross Modal Retrieval
    Hayeon Lee*, Wonjun Yoon*, Jinseok Park, Sung Ju Hwang (*: equal contribution)
    CKAIA 2020

Workshop Publication

  • Lightweight Neural Architecture Search with Parameter Remapping and Knowledge Distillation
    [paper]
    Hayeon Lee*, Sohyun An*, Minseon Kim, Sung Ju Hwang (*: equal contribution)
    AutoML 2022 Workshop

Preprint

  • SuperNet in Neural Architecture Search: A Taxonomic Survey
    [paper]
    Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
    arXiv 2022

Awards & Honors

Invited Talks

  • “Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets”
    • @ Samsung Electronics DS DIT Center, Korea, April 2021
    • @ Korea Agency for Defence Development, Korea, October 2021
  • “Task-Adaptive Neural Network Search with Meta-Contrastive Learning”
    • @ NeurIPS Social: ML in Korea, Dec 2021
    • @ Hanbat National University in Republic of Korea, April 2022
    • @ KAIST Programming Language Research Group in Republic of Korea, May 2022
    • @ Electronic & Information Research Information Center in Republic of Korea, May 2022
  • “HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning”
    • @ NeurIPS Social: ML in Republic of Korea, Dec 2021
    • @ Hanbat National University in Republic of Korea, April 2022
    • @ KAIST Programming Language Research Group in Republic of Korea, May 2022
    • @ Electronic & Information Research Information Center in Republic of Korea, May 2022
    • @ Ewha University in Republic of Korea, June 2022

News Article

Academic Services

Conference Reviewer

  • International Conference on Machine Learning (ICML) 2020, 2021 (expert), 2022
  • Neural Information Processing Systems (NeurIPS) 2020, 2021
  • International Conference on Learning Representations (ICLR) 2021, 2022
  • AAAI Conference on Artificial Intelligence (AAAI) 2021
  • Asian Conference on Machine Learning (ACML) 2020

Journal Reviewer

  • Transactions on Machine Learning Research (TMLR)

Projects

  • Human-Inspired Large-Scale Visual Recognition System, Samsung Electronics, 2019-2022

  • AutoML with Large-scale Hyperparameter Meta-Learning, Google, 2022-Present