Hello! I am a postdoctoral researcher at POSTECH Institute of Artificial Intelligence.
I received my Ph.D. degree at POSTECH under the supervision of Prof. Hwanjo Yu.

My research interests include Information Retrieval, Large Language Models, and Trustworthy AI.

Position

  • Pohang University of Science and Technology (POSTECH), South Korea
    Postdoc at Institute of Artificial Intelligence, 2024.03 - Present
    PIURI Postdoctoral Fellowship
    Advisor: Prof. Hwanjo Yu

Education

  • Pohang University of Science and Technology (POSTECH), South Korea
    Ph.D. in IT Engineering, 2019.02 - 2024.02
    Advisor: Prof. Hwanjo Yu
  • Pohang University of Science and Technology (POSTECH), South Korea
    B.S. in 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

Publications

  • Uncertainty Quantification and Decomposition for LLM-based Recommendation
    Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
    WWW, 2025
  • Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
    *Gwangseok Han, *Wonbin Kweon, Minsoo Kim, Hwanjo Yu (*equal contribution)
    KDD, 2025
  • Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
    SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
    WSDM, 2025
  • Continual Collaborative Distillation for Recommender System
    *Gyuseok Lee, *SeongKu Kang, Wonbin Kweon, Hwanjo Yu
    KDD, 2024
  • Rectifying Demonstration Shortcut in In-Context Learning
    Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu
    NAACL, 2024
  • Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
    Wonbin Kweon, Hwanjo Yu
    WWW, 2024 Oral presentation (link)
  • Top-Personalized-K Recommendation
    Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
    WWW, 2024 (link)
  • Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems
    SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
    ACM Transactions on Recommender Systems, 2024
  • Confidence Calibration for Recommender Systems and Its Applications
    Wonbin Kweon
    Ph.D. Dissertation, POSTECH (link)
  • Distillation from Heterogeneous Models for Top-K Recommendation
    SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
    WWW, 2023
  • Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
    SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
    WWW, 2022
  • Obtaining Calibrated Probabilities with Personalized Ranking Models
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu
    AAAI, 2022 Oral presentation (top-3% among 9,020 papers)
  • Personalized Distillation for Recommender System
    SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu
    Knowledge-Based Systems, 2022
  • Topology Distillation for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    KDD, 2021
  • Bidirectional Distillation for Top-K Recommender System
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu
    WWW, 2021 Oral presentation (link)
  • Item-side Ranking Regularized Distillation for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    Information Sciences, 2021
  • DE-RRD: A Knowledge Distillation Framework for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    CIKM, 2020
  • Deep Rating Elicitation for New Users in Collaborative Filtering
    Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
    WWW, 2020

Academic Services

[Program Committee / Reviewer]

  • KDD (ACM SIGKDD Conference on Knowledge Discovery & Data Mining), 2023 - 2025
  • WWW (ACM The Web Conference), 2024 - 2025
  • AAAI (Annual AAAI Conference on Artificial Intelligence), 2023 - 2025
  • ICML (International Conference on Machine Learning), 2024 - 2025
  • ICLR (International Conference on Learning Representations), 2024 - 2025
  • ACL (Annual Meeting of the Association for Computational Linguistics), 2025
  • NeurIPS (Annual Conference on Neural Information Processing Systems), 2023

Honors & Awards

  • POSTECH PIURI Postdoc Fellowship (50,000 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 (4,000 USD), 2018
  • POSTECH Exchange Student Scholarship (2,000 USD), 2018
  • POSTECH Admission Scholarship, 2015
  • Hanseong Sonjaehan Foundation Scholarship (4,000 USD), 2014

Talks & Presentations

  • Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
    - WWW (Singapore), oral presentation, 2024.05
  • Top-Personalized-K Recommendation
    - WWW (Singapore), poster presentation, 2024.05
  • Obtaining Calibrated Probabilities with Personalized Ranking Models
    - AAAI (Virtual, Vancouver), oral presentation, 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, 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

Teachings

  • Predictive Analytics Modelling (DS30), TA, Hyundai Motors, 2023
  • Artificial Intelligence (DS20), TA, Hyundai Motors, 2022
  • Artificial Intelligence, TA, SK Hynix, 2020
  • Artificial Intelligence, TA, SK Innovation, 2020
  • Introduction to Data Analysis (CSED226), TA, POSTECH, 2020
  • Trends on Industrial AI (CSED703H), TA, POSTECH, 2019