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20242026
most citedGeodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

2 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

q-fin.TR2026

Neural Estimation of Irreversibility in Real and Simulated Limit Order Book Paths

Hyeonjun Yeo, Doohwi Cha, Yoontae Hwang

A path indistinguishable from its own reverse carries no arrow of time, so time irreversibility is a necessary condition for a directed mechanism to be readable from trajectories a…

cs.LG2026

HoTS: Homophily-Aware Temperature Scaling for Graph Neural Network Calibration

Inwoo Tae, Yoontae Hwang, Yongjae Lee

For graph node classification, calibrated class probabilities are needed when confidence scores, usually the maximum predicted class probability, are used to rank predictions, defe…

q-fin.PM2026

Portfolio Preference Elicitation in Institutional Crossing Markets

Yoontae Hwang

Institutional crossing platforms face a hidden-information problem: investors value trades as portfolios, but liquidity discovery is typically organized around individual securitie…

q-fin.PM2025★ 1 cited

Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization

Yoontae Hwang, Yaxuan Kong, Stefan Zohren +1

This paper addresses the critical disconnect between prediction and decision quality in portfolio optimization by integrating Large Language Models (LLMs) with decision-focused lea…

cs.LG2024★ 2 cited

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

Yoontae Hwang, Yongjae Lee

Tabular data poses unique challenges due to its heterogeneous nature, combining both continuous and categorical variables. Existing approaches often struggle to effectively capture…

q-fin.CP2024

Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management

Yoontae Hwang, Stefan Zohren, Yongjae Lee

In the era of rapid globalization and digitalization, accurate identification of similar stocks has become increasingly challenging due to the non-stationary nature of financial ma…