Professor Yongjae Lee and his team in the Department of Industrial Engineering at UNIST has been honored with the Best Poster Presentation Award at the ACM International Conference on Artificial Intelligence in Finance 2023 (ICAIF-23). The conference, which marks its fourth anniversary this year, is the largest international association specialized in finance. It took place in Brooklyn, New York, from November 27 to 29, and attracted executives, employees, and researchers from major global financial investment companies, such as JPMorgan Chase & Co., US Bank, and leading universities worldwide.
This award has been given to Professor Lee’s team in recognition for their analysis of sell side analyst using generative AI models. The team demonstrated the effectiveness of generative AI models (LLM), specifically ChatGPT, in extracting valuable information from analyst reports.
This has been carried out in collaboration of SeonMi Kim, SeYoung Kim, Ye Jin Kim, JunPyo Park (Department of Industrial Engineering, UNIST), SungJin Kim, MoolKyeol Kim (Department of Industrial Engineering, UNIST), Research Professor JuHwan Hong (Department of Industrial Engineering, UNIST), and Dr. ChangHwan Sung (Invesco Hong Kong Ltd.).
In addition to winning the award, Professor Lee’s team presented two additional papers at the conference, highlighting UNIST’s contributions to the field of financial artificial intelligence. YoonTae Hwang, Jun Hong Lee (PhD-MS Combined, Department of Industrial Engineering), SeungHwan Noh (Department of Computer Science and Engineering), Daham Kim (Cornell University), and Research Professionals JuHwan Hong (Department of Industrial Engineering) proposed expression learning methods that are less sensitive to distribution changes by utilizing various data related to stocks comprehensively. This study is expected to contribute to stock market analysis and the establishment of investment strategies.
Seo Young Kim and Research Professor JuHwan Hong from the Department of Industrial Engineering at UNIST published a study on detecting abnormalities in stock time series and managing investment risk using GANs (Generative Adversarial Networks), a deep-learning-based generative model.
Notably, two out of the three papers presented at the conference were carried out with the support from the UNIST AICP, which demonstrates an excellent example of UNIST’s practical education in AI.
Professor Lee expressed his appreciation regarding the recognition received, stating, “I am delighted to showcase our international presence in the rapidly developing field of AI in finance and to receive such a prestigious award, thanks to the collaboration of many participating students.”
Meanwhile, Professor Lee continues his active academic activities as a member of the ICAIF program committee, co-organizing the ACM ICAIF’23 Workshop on Machine Learning for Investor Modelling and Recommender Systems with the University of British Columbia in Canada, the Vanguard Group, Inc., J.P. Morgan, and Fidelity, prominent international financial companies.
