Youngbin Lee

According to our database, Youngbin Lee authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model.

Youngbin Lee, Yejin Kim, Suin Kim, Yongjae Lee

CoRR, April, 2025

2024

Multi-attention recommender system for non-fungible tokens.

Yejin Kim, Seonmi Kim, Youngbin Lee, Joohwan Hong, Yongjae Lee

Eng. Appl. Artif. Intell., 2024

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning.

Youngbin Lee, Yejin Kim, 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

A Recommender System for NFT Collectibles with Item Feature.

Minjoo Choi, Seonmi Kim, Yejin Kim, Youngbin Lee, Joohwan Hong, Yongjae Lee

CoRR, 2024

A Temporal Graph Network Framework for Dynamic Recommendation.

Yejin Kim, Youngbin Lee, Vincent Yuan, Annika Lee, Yongjae Lee

CoRR, 2024

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

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

NFTs to MARS: Multi-Attention Recommender System for NFTs.

Seonmi Kim, Youngbin Lee, Yejin Kim, Joohwan Hong, Yongjae Lee

CoRR, 2023

2019

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

Proceedings of the IEEE International Conference on Soft Robotics, 2019