Gyuseok Lee

According to our database, Gyuseok Lee authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

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

CoRR, April, 2026

Capturing User Interests from Data Streams for Continual Sequential Recommendation.

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

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Harmonic Dataset Distillation for Time Series Forecasting.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation.

Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Gyuseok Lee, Ruichen Yao, Yang Zhang, Dong Wang

CoRR, September, 2025

Session-Based Recommendation with Validated and Enriched LLM Intents.

Gyuseok Lee, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, SeongKu Kang

CoRR, August, 2025

Leveraging Historical and Current Interests for Continual Sequential Recommendation.

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

CoRR, June, 2025

Collaborative Diffusion Model for Recommender System.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Continual Collaborative Distillation for Recommender System.

Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024