Hello! I am a postdoctoral researcher at the University of Illinois Urbana-Champaign (UIUC).
I received my Ph.D. from POSTECH, advised by Prof. Hwanjo Yu, and subsequently worked as a postdoctoral researcher at POSTECH Institute of Artificial Intelligence.
My research interests include Information Retrieval, Large Language Models, and Trustworthy AI.

Experience

• University of Illinois at Urbana-Champaign (UIUC), United States
  Postdoctoral Researcher, Siebel School of Computing and Data Science, 2025.04 - Present
  Advisor: Prof. Jiawei Han
• Pohang University of Science and Technology (POSTECH), South Korea
  Postdoctoral Researcher, Institute of Artificial Intelligence, 2024.03 - 2025.03
  PIURI Postdoctoral Fellowship
  Advisor: Prof. Hwanjo Yu

Education

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

• Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning
  Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu
  ACL findings, 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

• Uncertainty Quantification and Decomposition for LLM-based Recommendation
  Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
  WWW, 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

• Top-Personalized-K Recommendation
  Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
  WWW, 2024

• 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 oral, 2022

• 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

• 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 short, 2020

Academic Service

[Program Committee / Reviewer]

• KDD (ACM SIGKDD Conference on Knowledge Discovery & Data Mining), 2023 - 2025
• AAAI (Annual AAAI Conference on Artificial Intelligence), 2023 - 2025
• WWW (ACM The Web Conference), 2024 - 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

Honors & Awards

• POSTECH PIURI Postdoctoral 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 for TU Munich in Germany (4,000 USD), 2018
• POSTECH Exchange Student Scholarship for TU Munich in Germany (2,000 USD), 2018
• POSTECH Admission Scholarship, 2015
• Hanseong Sonjaehan Foundation Scholarship (4,000 USD), 2014

Talks & Presentations

• Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
  - WSDM (Hannover), oral presentation (link), 2025.03

• Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
  - WWW (Singapore), oral presentation (link), 2024.05

• Obtaining Calibrated Probabilities with Personalized Ranking Models
  - AAAI (Virtual, Vancouver), oral presentation (link), 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 (link), 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

Teaching

• 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