Se-eun Yoon

Se sounds like second
eun sounds like garden

I'm a PhD student in Computer Science at UC San Diego, advised by Prof. Julian McAuley.

My research interests are foundation models for personalization, especially in the context of recommendation. I'm also broadly interested in applied machine learning and data mining.

I received my M.S. (2020) and B.S. (2018) degrees in Electrical Engineering at KAIST, South Korea.

Email: seeuny at ucsd.edu

Google Scholar

Research

Multimodal Conversational Recommendation

Work in progress

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation [PDF]

Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, and Julian McAuley
NAACL 2024

Probing Large Language Models as User Simulators for Conversational Recommendation [Video]

Se-eun Yoon, Zhankui He, and Julian McAuley
CIKM 2023 Workshop on Personalized Generative AI

Structural Patterns and Generative Models of Real-world Hypergraphs [PDF]

Manh Tuan Do, Se-eun Yoon, Bryan Hooi, and Kijung Shin
KDD 2020

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction [PDF] [Video]

Se-eun Yoon, Hyungseok Song, Kijung Shin, and Yung Yi
WWW 2020

Solving Continual Combinatorial Selection via Deep Reinforcement Learning [PDF]

Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, and Yung Yi
IJCAI 2019