I am an assistant professor in the Department of Computer Science and Engineering at Sungkyunkwan University (SKKU), and a faculty member of Data Intelligence And Learning (DIAL) Lab. My research interests lie in:

  • Information Retrieval (Recommender Systems, Search)
  • Agentic AI (Search Agents, Tool/Skill-using Agents)
  • Trustworthy AI (Model Calibration, Uncertainty Quantification)
  • Natural Language Processing (Text Mining, Information Extraction)

I am actively seeking for passionate graduate (Ph.D., MS) students, and undergraduate interns. If you are interested, please send me an email with your interests, CV, and transcript.

Experience

  • Sungkyunkwan University (SKKU), South Korea
    Assistant Professor, Dept. of Computer Science and Engineering, 2026.09 - Present
  • University of Illinois Urbana-Champaign (UIUC), United States
    Postdoctoral Researcher, Siebel School of Computing and Data Science, 2025.04 - 2026.08
    Advisor: Prof. Jiawei Han
  • Pohang University of Science and Technology (POSTECH), South Korea
    Postdoctoral Researcher, Institute of Artificial Intelligence, 2024.03 - 2025.03
    PIURI Postdoctoral Fellowship
    Advisor: Prof. Hwanjo Yu

Education

  • Pohang University of Science and Technology (POSTECH), South Korea
    Ph.D., Convergence IT Engineering, 2019.03 - 2024.02
    Advisor: Prof. Hwanjo Yu
  • Pohang University of Science and Technology (POSTECH), South Korea
    B.S., Industrial and Management Engineering, 2015.03 - 2019.02
    Ranked 1st in the Department
  • GyeongNam Science High School, South Korea
    Early Graduation, 2013.03 - 2015.02

Academic Service

[Program Committee / Reviewer]

  • KDD (ACM SIGKDD Conference on Knowledge Discovery & Data Mining), 2023 - 2027
  • AAAI (Annual AAAI Conference on Artificial Intelligence), 2023 - 2027
  • WWW (ACM The Web Conference), 2024 - 2026
  • ICML (International Conference on Machine Learning), 2024 - 2026
  • ICLR (International Conference on Learning Representations), 2024 - 2026
  • ARR (Annual Meeting of the Association for Computational Linguistics, Rolling Review), 2025 - 2026
  • Expert Systems with Applications (SCIE, Q1), 2025
  • Journal of Computational Chemistry (SCIE, Q1), 2025
  • Journal of the American Medical Informatics Association (SCIE, Q1), 2026
  • Engineering Applications of Artificial Intelligence (SCIE, Q1), 2026

Honors & Awards

  • POSTECH PIURI Postdoctoral Fellowship (100,000 USD), 2025
  • Fourth Prize, The 3rd POSTECH Research Award, 2023
  • AAAI Student Scholarship, 2022
  • Third Prize, Kakao Music Playlist Recommendation Competition, 2020
  • Kwanjeong Educational Foundation Scholarship (15,000 USD), 2017 – 2019
  • Woori Bank Exchange Student Scholarship for TU Munich in Germany (4,000 USD), 2018
  • POSTECH Exchange Student Scholarship for TU Munich in Germany (2,000 USD), 2018
  • POSTECH Admission Scholarship, 2015
  • Hanseong Sonjaehan Foundation Scholarship (4,000 USD), 2014

Talks & Presentations

  • Structure Shapes the Future of DataxLLM Systems: Retrieval, Structuring, and Reasoning
    - Korea University (Seoul, South Korea), IDEA × DAIS Joint Workshop, 2026.8

  • Information Retrieval in the Era of Large Language Models
    - UNIST (Virtual), AIGS seminar, 2025.10

  • Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
    - WSDM (Hannover), oral presentation (link), 2025.03

  • Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
    - WWW (Singapore), oral presentation (link), 2024.05

  • Obtaining Calibrated Probabilities with Personalized Ranking Models
    - AAAI (Virtual, Vancouver), oral presentation (link), 2022.02
    - UberAI (Virtual, San Francisco), invited by Joseph Wang, 2022.05
    - Naver-POSTECH AI Day (Pohang, South Korea), 2022.06

  • Bidirectional Distillation for Top-K Recommender System
    - WWW (Virtual, Ljubljana), oral presentation (link), 2021.04

  • Deep Rating Elicitation for New Users in Collaborative Filtering
    - WWW (Virtual, Taipei), oral presentation, 2020.04

Patents

  • Method and Apparatus of Knowledge Distillation from Heterogeneous Models for Reducing Prediction Time of Recommender Systems, South Korea, 2023
  • Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering, South Korea, 2022

Teaching

  • Introduction to Recommender Systems (ESW4024_41), 2026 Fall