이용재 교수 사진

UNIST인공지능대학원, 산업공학과

Financial Engineering Lab. 금융공학연구실

이용재 부교수 (Yongjae Lee)

탑티어 논문
3
전체 논문
26
구성원
–
연구실 소개

이 연구실은 예측 결과를 포트폴리오 구성과 연결하는 의사결정 중심 학습, 공분산 추정, 이상 탐지 등을 통해 투자 전략과 위험 관리 문제를 연구합니다. LLM을 활용한 금융 정보 검색·질의응답과 투자 분석의 편향, 금융 텍스트와 시계열의 결합에도 관심을 둡니다. 또한 주문 흐름과 시간적 패턴을 반영한 가격 예측, 주식 표현 및 추천 모델을 다룹니다.

AI가 최신 논문을 바탕으로 생성한 연구실 소개예요

연구실 홈페이지의 소개

With the launch of LinqAlpha AI Lab, Professor Yongjae Lee has been appointed its Chief Scientist, leading research on Alpha Intelligence — the ability of AI systems to understand financial information, identify meaningful market signals, and translate them into reliable investment insights and decisions. A four-member UNIST student team, including FE Lab's Jaeho Jo and Junhyeong Lee, won 1st Runner Up at the 2026 WorldQuant International Quant Championship South Korea Finals with a multi-agent system for alpha generation. Professor Lee appeared on Sampro Understanding (삼프로 언더스탠딩) in two parts: discussing AI-powered jeonse fraud early detection (Part 1) and LLM investment bias research (Part 2). Professor Lee has been appointed as a member of the Financial Services Commission's Innovative Financial Services Review Committee and attended the first meeting. Professor Lee was invited to present at the Bloomberg CTO Data Science Speaker Series at their New York office, discussing recent research on utilizing LLMs for investment analysis and engaging in discussions about Financial AI with Bloomberg researchers. A bilingual field guide for student researchers, distilled from recurring feedback on more than 80 research papers, presentations, and reports, together with over 40 OpenReview reviews written by Prof. Yongjae Lee. GPT was used to identify recurring themes and organize them into ten practical principles for framing research questions, aligning claims with evidence, designing reliable experiments, and communicating results clearly.

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연구 분야

Financial Engineering · Personal · Household Finance · Optimization · Machine Learning · AI for Finance · Financial Optimization · Financial Data Analysis · Financial Planning

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