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 RecommendationPaper
    Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, and SeongKu Kang
    In SIGIR, 2026
  3. Harmonic Dataset Distillation for Time Series Forecasting
    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 Recommendation
    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 System
    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 System
    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