Yongjae Lee
Yongjae Lee
Ulsan National Institute of Science and Technology (UNIST) · Industrial Engineering
Professor
Prof. 이용재
Professor's page · publicationsAbout
이용재 교수 연구실(금융공학연구실, Financial Engineering Lab)은 UNIST 산업공학과 소속으로, 공학적 접근으로 금융 산업의 다양한 문제를 정의하고 해결하는 연구를 수행한다. 머신러닝·AI와 수리 최적화·강화학습을 활용한 개인 및 기관 맞춤형 재무 설계를 다룬다. 또한 확률 모형과 AI 기법으로 주식·채권 등 전통 자산과 부동산·원자재·데이터 등 대체 투자를 분석·모델링한다.
Research keywords
Recent papers
- Making Alternative Data Work: Context-Augmented LLMs for Financial ForecastingPreprintarXiv (Cornell University) · Sep 10
- Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading SystemsPreprintarXiv (Cornell University) · Aug 25
- Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single NeuronPreprintarXiv (Cornell University) · Aug 24
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Statistical Inference Lab
KAIST · Graduate School of AI
Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language ModelsPreprintarXiv (Cornell University) · Oct 2Shared topic: Topic Modeling
Financial Engineering Lab
KAIST · Industrial and Systems Engineering
A taxonomy of heterogeneous statistical interdependencies for graph-based financial time series predictionEngineering Applications of Artificial Intelligence · Aug 13Shared topic: Stock Market Forecasting Methods
Changick Kim
KAIST · Graduate School of Green Growth and Sustainability
Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language ModelsPreprintarXiv (Cornell University) · Aug 31Shared topic: Privacy-Preserving Technologies in Data
Other labs in this department
- Dong-Sup Kim
Dong Sub Kim
Data driven smart factory, manufacturing innovation, industrial safety
- Seoung Bum Kim
Sungil Kim
System Monitoring & Anomaly Detection, Sequential Learning, Neural Differential Equations, Uncertainty Quantification
- Youngdae Kim
Nonlinear Optimization, High Performance Computing, Variational Inequalities
- Hyungho Na
Reinforcement Learning, Multi-Agent Systems, AI-based Decision-Making, Autonomous Systems and Operations
- Saerom Park
Security-enhanced Machine Learning, Privacy-preserving Machine Learning, Fairness-aware Machine Learning
- Dong-Young Lim
Dong Young Lim
Nonconvex optimization, stochastic optimization, diffusion-based algorithms, physics-informed neural networks, neural differential equations, AI finance, insurance, chemistry, life sciences