東京大学 和泉研究室

• Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Mixture of Experts Approach for Domain Adaptation in Finance, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 30, No. 4, 2026.

• Yuya Takada, Kiyoshi Izumi, Yuri Murayama, Deep Learning for the Production of Official Statistics: Density Ratio Estimation using Biased Transaction Data for Japanese Labor Statistics, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.30, No. 4, 2026.（in publication） 

• Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji, CausalEnhance: knowledge-enhanced pre-training for causality identification and extraction, Knowledge-Based Systems, 2025.

• Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama, and Kiyoshi Izumi, CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation, International Joint Conferences on Artificial Intelligence (IJCAI), Montreal, Canada, August, 2025.

• Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis, Are Generative AI Agents Effective Personalized Financial Advisors?, Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, July, 2025. 

• 【注意】ソーシャルメディア上での当研究室主催と偽った投資勉強会の勧誘について

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