| 2026 | ACL | From Heard to Lived Opinions: Simulating Opinion Dynamics with Grounded LLM Agents in Economic Environments. | Ryuji Hashimoto, Masahiro Kaneko, Ryosuke Takata, Takehiro Takayanagi, Kiyoshi Izumi |
| 2025 | ECIR | FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising. | Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis |
| 2025 | IJCAI | CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation. | Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama, Kiyoshi Izumi |
| 2025 | NAACL | Can GPT-4 Sway Experts' Investment Decisions? | Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi, Chung-Chi Chen |
| 2025 | PRIMA | Agent-Based Simulation of a Financial Market with Large Language Models. | Ryuji Hashimoto, Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi |
| 2025 | SIGIR | Are Generative AI Agents Effective Personalized Financial Advisors? | Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis |
| 2024 | ACL | LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. | Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji |
| 2023 | SIGIR | Personalized Dynamic Recommender System for Investors. | Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi |
| 2023 | SIGIR | Personalized Stock Recommendation with Investors' Attention and Contextual Information. | Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe |
| 2022 | PRIMA | Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market. | Masanori Hirano, Kiyoshi Izumi |
| 2022 | PRIMA | Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations. | Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi |
| 2022 | WWW | Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information. | Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano |
| 2020 | AAAI | Word-Level Contextual Sentiment Analysis with Interpretability. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |
| 2020 | MABS | Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households. | Yasutaka Nishimura, Taichi Shimura, Kiyoshi Izumi, Kiyohito Yoshihara |
| 2020 | PRIMA | Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets. | Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Taisei Mukai |
| 2020 | PRIMA | Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market. | Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji |
| 2020 | SDM | SSNN: Sentiment Shift Neural Network. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |
| 2019 | AINA | Estimation of Tags Using Various Data for Online Videos. | Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi |
| 2019 | AINA | Forecasting Crypto-Asset Price Using Influencer Tweets. | Hirofumi Yamamoto, Hiroki Sakaji, Hiroyasu Matsushima, Yuki Yamashita, Kyohei Osawa, Kiyoshi Izumi, Takashi Shimada |
| 2019 | ICDM | CSNN: Contextual Sentiment Neural Network. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita |
| 2019 | ICDM | Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. | Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima |
| 2019 | ICDM | Extraction of Volitional Utterances from Japanese Local Political Corpus. | Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima |
| 2019 | ICDM | Stock Price Analysis Using Combination of Analyst Reports and Several Documents. | Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa |
| 2019 | IJCAI | Economic Causal-Chain Search Using Text Mining Technology. | Kiyoshi Izumi, Hiroki Sakaji |
| 2019 | SMC | Chain Bankruptcy Simulation Considering Investment from Banks to Companies. | Ryo Hamawaki, Jun'ichi Ozaki, Kiyoshi Izumi, Takashi Shimada, Hiroki Sakaji, Hiroyasu Matsushima |
| 2018 | ICDM | Selection of Related Stocks using Financial Text Mining. | Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato |
| 2018 | PAKDD | Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. | Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita |
| 2017 | ICDM | Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. | Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita |
| 2016 | CEC | Polarity propagation of financial terms for market trend analyses using news articles. | Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita |
| 2010 | ICDM | Trading Tests of Long-Term Market Forecast by Text Mining. | Kiyoshi Izumi, Takashi Goto, Tohgoroh Matsui |
| 2009 | PRIMA | Market Participant Estimation by Using Artificial Market. | Fujio Toriumi, Kiyoshi Izumi, Hiroki Matsui |
| 2009 | PRIMA | A Study on the Market Impact of Short-Selling Regulation Using Artificial Markets. | Isao Yagi, Takanobu Mizuta, Kiyoshi Izumi |
| 2007 | CIDM | A Self-Impact Analysis by Artificial Market Simulation. | Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo |
| 2007 | IJCAI | Inferring Long-term User Properties Based on Users' Location History. | Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kiti Hasida, Hideyuki Nakashima |
| 2004 | MABS | Analysis of Learning Types in an Artificial Market. | Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani |
| 2004 | MABS | An Investigation into the Use of Group Dynamics for Solving Social Dilemmas. | Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani |
| 2000 | IDEAL | Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data. | Kiyoshi Izumi, Kazuhiro Ueda |