Identifying household finance heterogeneity via deep clustering Y Hwang, Y Lee, FJ Fabozzi Annals of Operations Research, 2023 | 12 | 2023 |
A Study on the Estimation of Apartment Price Index: Focused on the Machine Learning Algorithm Y Hwang Journal of Money & Finance (South Korea), 2019 | 5* | 2019 |
Stop-loss adjusted labels for machine learning-based trading of risky assets Y Hwang, J Park, Y Lee, DY Lim Finance Research Letters, 2023 | 4 | 2023 |
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management Y Hwang, S Zohren, Y Lee arXiv preprint arXiv:2407.13751, 2024 | 2 | 2024 |
Heterogeneous trading behaviors of individual investors: A deep clustering approach Y Hwang, J Park, JH Kim, Y Lee, FJ Fabozzi Finance Research Letters, 2024 | 2 | 2024 |
SimStock: Representation Model for Stock Similarities Y Hwang, J Lee, D Kim, S Noh, J Hong, Y Lee ICAIF-23 Main Track (Oral presentation), 2023 | 2 | 2023 |
CAFO: Feature-Centric Explanation on Time Series Classification J Kim, SJ Hahn, Y Hwang, J Lee, S Lee KDD-24 Main Track, 2024 | 1 | 2024 |
Household financial health: a machine learning approach for data-driven diagnosis and prescription K Kim, Y Hwang, D Lim, S Kim, J Lee, Y Lee Quantitative Finance, 2023 | 1 | 2023 |
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization Y Hwang, Y Kong, S Zohren, Y Lee arXiv preprint arXiv:2502.00828, 2025 | | 2025 |
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Y Hwang, Y Lee AAAI-25 Main Track, 2024 | | 2024 |