A Lightweight, Soft Wearable Sleeve for Rehabilitation of Forearm Pronation and Supination. - Se-Hun Park; Jaehyun Yi; DongWook Kim; Youngbin Lee; Helen Sumin Koo; Yong-Lae Park (RoboSoft, 2019)

NFTs to MARS: Multi-Attention Recommender System for NFTs. - Seonmi Kim; Youngbin Lee; Yejin Kim; Joohwan Hong; Yongjae Lee (CoRR, 2023)

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. - Youngbin Lee; Yejin Kim; Javier Sanz-Cruzado; Richard McCreadie; Yongjae Lee (ICAIF, 2024)

A Temporal Graph Network Framework for Dynamic Recommendation. - Yejin Kim; Youngbin Lee; Vincent Yuan; Annika Lee; Yongjae Lee (CoRR, 2024)

A Recommender System for NFT Collectibles with Item Feature. - Minjoo Choi; Seonmi Kim; Yejin Kim; Youngbin Lee; Joohwan Hong; Yongjae Lee (CoRR, 2024)

Temporal Graph Networks for Graph Anomaly Detection in Financial Networks. - Yejin Kim; Youngbin Lee; Minyoung Choe; Sungju Oh; Yongjae Lee (CoRR, 2024)

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning. - Youngbin Lee; Yejin Kim; Yongjae Lee (CoRR, 2024)

Multi-attention recommender system for non-fungible tokens. - Yejin Kim; Seonmi Kim; Youngbin Lee; Joohwan Hong; Yongjae Lee (Eng. Appl. Artif. Intell., 2024)

Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model. - Youngbin Lee; Yejin Kim; Suin Kim; Yongjae Lee (CoRR, 2025)