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Gyuseok Lee

Ph.D. Student, University of Illinois Urbana-Champaign

Email: gyuseok2 [at] illinois.edu

CV | GitHub

My research interests lie in Data Mining, Information Retrieval, Recommender Systems, and LLM Personalization, with a focus on building systems that support better human decision-making. I am always open to collaboration — feel free to reach out!

Education

Research Experience

News

Apr 2, 2026 One paper has been accepted to SIGIR 2026.
Nov 8, 2025 One paper has been accepted to AAAI 2026.
Oct 23, 2025 One paper has been accepted to WSDM 2026.

Preprints

  1. Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization
    Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, SeongKu Kang, Jiawei Han, Dong Wang
    [Paper]

Publications

  1. SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
    Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, SeongKu Kang
    SIGIR’26 [Paper] [Code]
  2. Harmonic Dataset Distillation for Time Series Forecasting
    Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu
    AAAI’26 [Paper]
  3. Capturing User Interests from Data Streams for Continual Sequential Recommendation
    Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
    WSDM’26 [Paper] [Code]
  4. Collaborative Diffusion Model for Recommender System
    Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
    WWW’25 Short [Paper] [Code]
  5. Continual Collaborative Distillation for Recommender System
    Gyuseok Lee*, SeongKu Kang*, Wonbin Kweon, Hwanjo Yu
    KDD’24 [Paper] [Code]