About
I am a Ph.D. student in the Augment Research Group at the Department of Computer Science, KU Leuven, supervised by Prof. Katrien Verbert and Dr. Yucheng Jin. I also work closely with Dr. Zhen Wang.
My research focuses on LLM personalization, with a particular interest in the interaction between users and models, as well as how algorithm design can support adaptation to individual differences. More broadly, I am interested in building large language models that interact with users in more transparent and controllable ways.
Selected Publications
View All →How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System
Yufan Zhou*, Yirui Huang*, Zhao Wang, Yucheng Jin
UMAP 2026
DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
Zhen Wang*, Yufan Zhou*, Zhongyan Luo, Lyumanshan Ye, Adam Wood, Man Yao, Saab Mansour, Luoshang Pan
NeurIPS 2025 LAW Workshop (Spotlight)
Colin: A Multimodal Human-AI Co-Creation Storytelling System to Support Children's Multi-Level Narrative Skills
Lyumanshan Ye, Jiandong Jiang, Yuhan Liu, Yihan Ran, Yufan Zhou, Zhao Wang, Yipeng Yu, Pengfei Liu, Danni Chang, Yucheng Jin
arXiv
News
One first-author paper is accepted by UMAP 2026 🎉
Our paper is awarded as a Spotlight at NeurIPS 2025 LAW Workshop 🏅
One co-author paper is accepted by IET Computer Vision 🎉
One co-author paper is accepted by FedCSIS 2024 🎉