CV

Hee Bin Yoo

yooheebin@snu.ac.kr
+82-10-8939-2751
Seoul, South Korea, KR

Summary

Assistant Professor at the School of AI Software, Soongsil University. Research interests include feature learning theory, neural collapse, metric learning, machine unlearning, deep reinforcement learning dynamics, stochastic control, Schrodinger bridge, equivariant convolution, and Spatial AI.

Education

  • Artificial Intelligence
    2026
    Seoul National University
    GPA: 3.52/4.30
    Courses: Feature Learning Theory, Neural Collapse, Unlearning, Metric Learning, Deep Reinforcement Learning Dynamics, Stochastic Control, Schrodinger Bridge, Equivariant Convolution
  • Computer Science and Engineering
    2021
    Chung-Ang University
    GPA: Overall 4.36/4.50; Major 4.48/4.50
    Courses: Metric Learning, Deep 3D Vision, 3D Reconstruction

Work Experience

  • Assistant Professor, School of AI Software
    2026-09 -
    Tenure-track Assistant Professor in Seoul, Korea.
  • Founder, CEO, Head Architect
    2013-03 - 2019-01
    Architected and developed Android and web services; led consulting, requirement analysis, negotiation, sales, management, contracting, legal, and tax work.
  • Researcher, Global Operations Support
    2021-11 - 2026
    Designed process automation for wastewater treatment and coordinated overseas business trips, client meetings, and professional networking.
  • Intern
    2020-07 - 2020-08
    Managed maintenance channels, handled maintenance requests, coordinated development communication, and developed maintenance management software.

Skills

Programming

  • Python
  • PyTorch
  • NumPy
  • Faiss
  • Java
  • Spring
  • C
  • C++
  • OpenCV
  • x86 assembly
  • SQL
  • JavaScript
  • Node.js
  • React

Research

  • Feature learning theory
  • Metric learning
  • Machine unlearning
  • Spatial AI
  • Deep reinforcement learning dynamics
  • Stochastic control
  • Equivariant convolution

Publications

  • Focus on the Moment: Real-Time Semantic Failure Detection in Vision-Language-Action Models
    2026
    3rd Workshop on Semantic Reasoning and Goal Understanding in Robotics, RSS 2026
    Seul Kim, Hee Bin Yoo, and Byoung-Tak Zhang.
  • Confidence Controls Deep Metric Learning
    2026
    Machine Learning
    Jinhee Park, Hee Bin Yoo, Byoung-Tak Zhang, and Junseok Kwon.
  • How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model
    2025
    NeurIPS
    Hee Bin Yoo, Sungyoon Lee, Cheongjae Jang, Dong-Sig Han, Jaein Kim, Seunghyeon Lim, and Byoung-Tak Zhang.

Presentations

  • AI Lunch Seminar
    2025
    Seoul National University
    Seoul, Korea
    Invited oral presentation on classifier feature transfer to downstream tasks.
  • Brown Bag Seminar Poster Presentation
    2025
    6th Brown Bag Seminar, Seoul National University
    Seoul, Korea
    Poster presentation on classifier feature transfer in a two-layer model.
  • EWHA-CUHK Global Student Partnership Program
    2026
    EWHA-CUHK GSP Program
    Seoul, Korea
    Seminar and guided lab tour on Physical AI and lab research activities.

Teaching

  • Yongsan High School Project Advising and Competition Judging
    2018
    Yongsan High School
    Role: Advisor and Judge
    Advised Computer Science Club projects and judged annual research, IoT, and project competitions.
  • Hyundai NGV Machine Learning Training Material Development
    2024
    Seoul National University / Hyundai NGV
    Role: Training material developer
    Planned and developed a five-session machine learning lecture series for in-house employee training.

Portfolio

  • Posenet-Based Strength Training Calorie Estimation
    2021
    Software
    Calorie burn estimation system through body posture graph inference.
  • CQB Simulation System Based on 3D Scanning and VSLAM
    2020
    Software
    Survival game system using localization, 3D scanning, 3D reconstruction, and physics engines.

Languages

  • Korean
    Native
  • English
    Fluent; TOEFL MyBest 103 on Nov. 28, 2023
  • Japanese, Chinese, Spanish
    Beginner

Interests

  • Machine learning theory
    Feature learning, Neural collapse, Transfer
  • Computer vision and robotics
    Metric learning, 3D vision, Point clouds, Vision-language-action models

References

  • Junseok Kwon
    Professor, School of Computer Science and Engineering, Chung-Ang University
  • Byoung-Tak Zhang
    Ph.D. Advisor; Professor, Interdisciplinary Program in Artificial Intelligence, Seoul National University
  • Bruno Loureiro
    Professeur Attache & Researcher, ENS & CNRS, Departement d'Informatique
  • Sungyoon Lee
    Assistant Professor, Department of Computer Science, Hanyang University
  • Cheongjae Jang
    Research Professor, BK-FOUR, Hanyang University