Publications

2026

1. Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM PersonalizationPaper

   Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, SeongKu Kang, Jiawei Han, and Dong Wang

   2026
2. SIGIR’26

   SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based RecommendationPaperCode

   Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, and SeongKu Kang

   In SIGIR, 2026

   Code

3. 

   Harmonic Dataset Distillation for Time Series ForecastingPaper

   Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, and Hwanjo Yu

   In AAAI, 2026

4. 

   Capturing User Interests from Data Streams for Continual Sequential RecommendationPaperCode

   Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, and Hwanjo Yu

   In WSDM, 2026

   Code

2025

1. 

   Collaborative Diffusion Model for Recommender SystemPaperCode

   Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, and Jundong Li

   In WWW, 2025

   Code

2024

1. 

   Continual Collaborative Distillation for Recommender SystemPaperCode

   Gyuseok Lee*, SeongKu Kang*, Wonbin Kweon, and Hwanjo Yu

   In KDD, 2024

   Code

2023

1. KICS’23

   Calibrating Deep Learning Model for Medical AI Applications with Imbalanced Data

   Gyuseok Lee, and Hwanjo Yu

   In KICS, 2023