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