Ph.D. Student, POSTECH · Pohang 37673, Republic of Korea
minjae.lee@postech.ac.kr · github.com/saemin21 · PDF

Education

Feb. 2024 ~ Present
Pohang University of Science and Technology (POSTECH)
Graduate School of Artificial Intelligence
Ph.D. Student
Advisor: Sangdon Park
Feb. 2020 ~ Feb. 2024
Pohang University of Science and Technology (POSTECH)
Department of Computer Science and Engineering
B.S. in Computer Science and Engineering
GPA: 3.5 / 4.3

Research Interests

  • Multi-value alignment
  • Online learning
  • Selective prediction
  • Trustworthy AI
  • Machine learning

Publications

  1. Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution
    Minjae Lee, Kyunghyun Cho, Sangdon Park
    arXiv preprint arXiv:2610.04845, 2026
    arXiv
  2. Online Conformal Abstention Under Adversarial Bandit Feedback
    Minjae Lee*, Yoonjae Jung*, Sangdon Park
    The Fortieth Annual Conference on Neural Information Processing Systems, 2026
    NeurIPS🏆 Best Paper Finalist from CKAIAICLR'26 Reliable Autonomy Workshop
    arXiv
    *: equal contribution
  3. ATLANTIS: AI-driven Threat Localization, Analysis, and Triage Intelligence System
    Taesoo Kim, HyungSeok Han, Soyeon Park, …, Minjae Lee, … (46 authors)
    arXiv preprint arXiv:2509.14589, 2025
    🏆 DARPA AIxCC Winner - $(4+2)M Award
    arXiv
  4. Selective Generation for Controllable Language Models
    Minjae Lee*, Kyungmin Kim*, Taesoo Kim, Sangdon Park
    Neural Information Processing Systems, 2024
    NeurIPS🏆 Spotlight🏆 POSTECH GSAI BK21 Best Paper Award
    OpenReviewarXiv
    *: equal contribution

Awards and Honors

  • Winner (Team Award), DARPA AI Cyber Challenge (AIxCC) Final Competition, United States (Aug. 2025)
    as a member of Team Atlanta, joined during the final round

Research Experience

  • Graduate Researcher, Machine Learning Lab, POSTECH (Feb. 2024 ~ Present)
    Multi-objective alignment, online learning, selective prediction
  • Visiting Researcher, New York University, USA (Sep. 2026 ~ Nov. 2026)
  • Visiting Researcher, New York University, USA (Jul. 2025 ~ Aug. 2025)
  • Member, Team Atlanta (DARPA AIxCC Final) (2025)
  • Research Student, Machine Learning Lab, POSTECH (Jun. 2023 ~ Feb. 2024)
    Placement problem with machine learning
  • Research Student, Machine Learning Lab, POSTECH (Feb. 2023 ~ Jun. 2023)
    GNN study & 'SMILES for General Graph Generation'
  • Research Student, Computer Vision Lab, POSTECH (Sep. 2022 ~ Jan. 2023)
    Object detection with 'Mask-Aware Transformer for Large Hole Image Inpainting'
  • Research Student, Computer Vision Lab, POSTECH (Jun. 2022 ~ Aug. 2023)
    cs231n study

Skills

  • Deep learning: pre-trained models, transfer learning, fine-tuning; various deep learning architectures
  • PyTorch
  • Linux servers for training and running deep learning models
  • OpenCV & shaders, MATLAB