Embedded Files
9:00 ~ 9:15
Opening remarks
Opening remarks
9:15 ~ 9:45
[Accepted paper] Comparing the Impact of Financial Knowledge Graphs from Financial Reports and Wikidata in Asset Recommendation
[Accepted paper] Comparing the Impact of Financial Knowledge Graphs from Financial Reports and Wikidata in Asset Recommendation
Lubingzhi Guo, Ph.D. student, University of Glasgow, UK
Comparing the Impact of Financial Knowledge Graphs from Financial Reports and Wikidata in Asset Recommendation.pdf9:45 ~ 10:30
[Keynote presentation] Financial Opinion Recommendation from Personalization, Profitability, and Rationality Aspects
[Keynote presentation] Financial Opinion Recommendation from Personalization, Profitability, and Rationality Aspects
Dr. Chung-Chi Chen, Researcher, Artificial Intelligence Research Center (AIST), Japan
Slides may be shared upon requests
Coffee break: 10:30 ~ 11:00
11:00 ~ 11:30
[Accepted paper] FAR-Trans: An Investment Dataset for Financial Asset Recommendation
[Accepted paper] FAR-Trans: An Investment Dataset for Financial Asset Recommendation
Prof. Richard McCreadie, Senior Lecturer (Associate Professor), University of Glasgow, UK
FAR-Trans-IJCAI.pdf11:30 ~ 12:00
[Accepted paper] Graph-based Tabular Data Synthesis Model for More Effective Financial Application
[Accepted paper] Graph-based Tabular Data Synthesis Model for More Effective Financial Application
Dae-Young Park, Researcher, Financial Security Institute (FSI), South Korea
최종_ijcai 2024_박대영.pdf12:00 ~ 12:30
[Accepted paper] Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-variance Efficient Learning
[Accepted paper] Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-variance Efficient Learning
Yejin Kim, Master Student, Ulsan National Institute of Science and Technology (UNIST), South Korea
IJCAI_PPT_YejinKim.pdfLunch: 12:30 ~ 14:00
14:00 ~ 14:30
[Invited presentation] Leveraging Internal Transaction Data for Personalized Loan Products: A Methodology for Broadening Clientele and Increasing Bank Loyalty
[Invited presentation] Leveraging Internal Transaction Data for Personalized Loan Products: A Methodology for Broadening Clientele and Increasing Bank Loyalty
Dr. Seongho Eun, Senior Data Scientist, Hana Institute of Technology, South Korea
IJCAI_240804_Seonghoeun.pdf14:30 ~ 15:00
[Invited presentation] Real-time phishing app detection using real-world data in Korea
[Invited presentation] Real-time phishing app detection using real-world data in Korea
Dr. Sang Hyun Park, Senior Data Scientist, Hana Institute of Technology, South Korea
IJCAI_240804_Sang Hyun Park_Real-time phishing app detection using real-world data in Korea.pdf15:00 ~ 15:30
[Accepted paper] Surrogate for Marginal Amortized SHAP for Explaining Recommendation Systems
[Accepted paper] Surrogate for Marginal Amortized SHAP for Explaining Recommendation Systems
Youngjin Park, Ph.D. student, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Surrogate for Marginal Amortized SHAP for Explaining Recommendation Systems.pdfCoffee break: 15:30 ~ 16:00
16:00 ~ 16:45
[Keynote presentation] Deep Reinforcement Learning for Quantitative Trading
[Keynote presentation] Deep Reinforcement Learning for Quantitative Trading
Prof. Bo An, President’s Chair Professor, Nanyang Technological University, Singapore
202408 RL4Fintech.pdf16:45 ~ 17:15
[Accepted paper] Risk Propensity-specific Portfolio Recommendation via Self-supervised Learning
[Accepted paper] Risk Propensity-specific Portfolio Recommendation via Self-supervised Learning
Namhyoung Kim, Ph.D. Student, Hanyang University, South Korea
IJCAI-W-NHK(수정).pdf17:15 ~ 17:30
Closing Remarks
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