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
- Information Retrieval (Recommender Systems, Search)
- Large Language Models
- Trustworthy AI
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 TU Munich (Germany), K-Arts (South Korea) - GyeongNam Science High School, South Korea
Early Graduation, 2013.03 - 2015.02
Publications
* indicates equal contribution.
2025
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
Gwangseok Han*, Wonbin Kweon*, Minsoo Kim, Hwanjo Yu
KDD 2025 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining)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 (ACM International Conference on Web Search and Data Mining)
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, 2024Doubly 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
- 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
- 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