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 (link)

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

  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)
  Oral presentation (link)

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

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