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.

Research Interests

  • Recommender Systems, Information Retrieval
  • Trustworthy AI
  • Large Language Models

Position

  • Pohang University of Science and Technology (POSTECH), South Korea
    Postdoctoral Research Associate, 2024.03 - Present
    Institute of Artificial Intelligence
    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 (Data Intelligence Lab)
  • 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
    Exchange Student at Technical University of Munich, Germany, 2018.03 - 2018.09
  • GyeongNam Science High School, South Korea
    Early Graduation, 2013.03 - 2015.02

Publications

2024

  • Continual Collaborative Distillation for Recommender System
    {Gyuseok Lee*, SeongKu Kang*}, Wonbin Kweon, Hwanjo Yu
    KDD 2024 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining)

  • Rectifying Demonstration Shortcut in In-Context Learning
    Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu
    NAACL 2024 (Annual Conference of the North American Chapter of the Association for Computational Linguistics)

  • 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

  • Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
    Wonbin Kweon, Hwanjo Yu
    WWW 2024 (ACM The Web Conference)
    Oral presentation

  • Top-Personalized-K Recommendation
    Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
    WWW 2024 (ACM The Web Conference)

  2023

  • 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 (ACM The Web Conference)

  2022

  • Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
    SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
    WWW 2022 (ACM The Web Conference)

  • Obtaining Calibrated Probabilities with Personalized Ranking Models
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu
    AAAI 2022 (Thirty-Sixth AAAI Conference on Artificial Intelligence)
    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

  2021

  • Topology Distillation for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    KDD 2021 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining)

  • Bidirectional Distillation for Top-K Recommender System
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu
    WWW 2021 (ACM The Web Conference)

  • Item-side Ranking Regularized Distillation for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    Information Sciences, 2021

  2020

  • DE-RRD: A Knowledge Distillation Framework for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    CIKM 2020 (ACM International Conference on Information and Knowledge Management)

  • Deep Rating Elicitation for New Users in Collaborative Filtering
    Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
    WWW 2020 (ACM The Web Conference)

Academic Services

[Program Committee / Reviewer]

  • KDD (ACM SIGKDD Conference on Knowledge Discovery & Data Mining): 2023 - 2025
  • NeurIPS (Annual Conference on Neural Information Processing Systems): 2023
  • AAAI (Annual AAAI Conference on Artificial Intelligence): 2023 - 2025
  • WWW (ACM The Web Conference): 2024
  • ICML (International Conference on Machine Learning): 2024
  • ICLR (International Conference on Learning Representations): 2024
  • SDM (SIAM International Conference on Data Mining): 2024

Honors & Awards

  • Fourth Prize, The 3rd POSTECH Research Award, 2023
  • AAAI Student Travel Award, 2022
  • Third Prize, Kakao Music Playlist Recommendation Competition, 2020
  • WWW Student Travel Award, 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
  • Understanding and Implementation of 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