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Dong Bok Lee

Languages

  • Korean (Native)
  • English (Intermediate)

About Theme

I am phd student at KAIST, working on machine learning. My supervisor is Prof. Sung Ju Hwang.

Education

Ph.D. in Aritificial Intelligence

2021 - Present
Korea Advanced Institute of Science and Technology

Supervised by Sung Ju Hwang

M.S. in Aritificial Intelligence

2019 - 2021
Korea Advanced Institute of Science and Technology

Supervised by Sung Ju Hwang

B.S. in Computer Science

2012 - 2018
Korea University

Publications

  • Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
    • Dong Bok Lee*, Seanie Lee*, Woo Tae Jeong, Donghwan Kim, and Sung Ju Hwang
    ACL 2020 (long papers)
  • Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
    • Jinheon Baek, Dong Bok Lee, and Sung Ju Hwang
    NeurIPS 2020
  • Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
    • Seanie Lee*, Dong Bok Lee*, and Sung Ju Hwang
    ICLR 2021
  • Meta-GMVAE: Mixture of Gaussin VAE for Unsupervised Meta-Learning
    • Dong Bok Lee, Dongchan Min, Seanie Lee, and Sung Ju Hwang
    ICLR 2021 (spotlight)
  • Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
    • Dongchan Min, Dong Bok Lee, Eunho Yang, and Sung Ju Hwang
    ICML 2021
  • Dataset Condensation with Latent Space Knowledge Factorization and Sharing
    • Hae Beom Lee∗, Dong Bok Lee∗, Sung Ju Hwang
    arXiv 2022
  • Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
    • Dong Bok Lee*, Seanie Lee*, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
    ICLR 2023
  • Self-Supervised Dataset Distillation for Transfer Learning
    • Dong Bok Lee*, Seanie Lee*, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
    ICLR 2024
  • HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
    • Seanie Lee*, Haebin Seong*, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
    ICLR 2025
  • Dimensional Agnostic Neural Processes
    • Hyungi Lee, Chaeyun Jang, Dong bok Lee, Juho Lee
    ICLR 2025
  • SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
    • Seanie Lee*, Dong Bok Lee*, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
    ACL 2025 findings
  • Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
    • Dongwoo Lee*, Dong Bok Lee*, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee
    ICML 2025
  • Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
    • Dong Bok Lee, Aoxuan Silvia Zhang*, Byungjoo Kim*, Junhyeon Park*, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee
    NeurIPS 2025
  • FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
    • Seanie Lee*, Sangwoo Park*, Dong Bok Lee*, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
    NeurIPS 2025