Solving Continual Combinatorial Selection via Deep Reinforcement Learning. - HyungSeok Song; Hyeryung Jang; Hai H. Tran; Se-eun Yoon; Kyunghwan Son; Donggyu Yun; Hyoju Chung; Yung Yi (IJCAI, 2019)

Structural Patterns and Generative Models of Real-world Hypergraphs. - Manh Tuan Do; Se-eun Yoon; Bryan Hooi; Kijung Shin (KDD, 2020)

How Much and When Do We Need Higher-order Informationin Hypergraphs? A Case Study on Hyperedge Prediction. - Se-eun Yoon; HyungSeok Song; Kijung Shin; Yung Yi (WWW, 2020)

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction. - Se-eun Yoon; HyungSeok Song; Kijung Shin; Yung Yi (CoRR, 2020)

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation. - Hyunsik Jeon; Se-eun Yoon; Julian J. McAuley (CIKM, 2024)

Forecasting Live Chat Intent from Browsing History. - Se-eun Yoon; Ahmad Bin Rabiah; Zaid Alibadi; Surya Kallumadi; Julian J. McAuley (CIKM, 2024)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. - Se-eun Yoon; Zhankui He; Jessica Maria Echterhoff; Julian J. McAuley (NAACL-HLT, 2024)

Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation. - Se-eun Yoon; Hyunsik Jeon; Julian J. McAuley (CoRR, 2024)

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation. - Se-eun Yoon; Xiaokai Wei; Yexi Jiang; Rachit Pareek; Frank Ong; Kevin Gao; Julian J. McAuley; Michelle Gong (CoRR, 2024)

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking. - Chen Wang; Xiaokai Wei; Yexi Jiang; Frank Ong; Kevin Gao; Xiao Yu; Zheng Hui; Se-eun Yoon; Philip Yu; Michelle Gong (CoRR, 2025)

MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender? - Zheng Hui; Xiaokai Wei; Yexi Jiang; Kevin Gao; Chen Wang; Frank Ong; Se-eun Yoon; Rachit Pareek; Michelle Gong (CoRR, 2025)