Home Publications

Publications

International conferences/workshops

• Tanaka, Y., Hashimoto, R., Takayanagi, T., Piao, Z., Murayama, Y., and Izumi, K. CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation. International Joint Conferences on Artificial Intelligence (IJCAI), Montreal, Canada, August 2025.

• Kobayashi, R., Murayama, Y., and Izumi, K. Impact Analysis of Social Events on Industries through Narrative Causal Search. The 5th Financial Narrative Processing Workshop (FNP2023), Sorrento, Italy, December 2023.

• Kobayashi, R., Murayama, Y., and Izumi, K. Economic Causal Chain Presentation System Considering Output Diversity to Search Economic Ripple Effects. The SIGIR ‘23 Workshop on Knowledge Discovery from Unstructured Data in Financial Services (KDF), Taipei, Taiwan, July 2023.

• Murayama, Y. and Kobayashi, I. Towards Question Answering with Multi-hop Reasoning over Knowledge using a Neural Network Model with External Memories. Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), Mie, Japan, November 2022.

• Murayama, Y., Pereira,L.K., and Kobayashi, I. Dialogue over Context and Structured Knowledge using a Neural Network Model with External Memories. The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP) Knowledgeable NLP Workshop, December 2020.

• Murayama, Y., Kobayashi, I., Morita, T., Nakano, Y., and Yamaguchi, T. Development of an Access Method to Menu Ontology Data through Converting Natural Language into SPARQL Queries. The 8th Joint International Semantic Technology Conference (JIST) Workshop, Hyogo, Japan, November 2018.

Journal papers

• Matsumoto, M., Hashimoto, R., Suzuki, M., Murayama, Y., and Izumi, K. Impact of Information Disparity between Individual Investors on Profits of Meme Stocks using an Artificial Market Simulation Approach. Journal of Computational Social Science, Vol.8, 2025.

• Xu, T., Piao, Z., Mukai, T., Murayama, Y., and Izumi, K. Emulating Fundamental Analysts: Analytical Stage-based Multi-agent Framework Enhanced with Expert Guidance and Preference-anchored Likelihood Adjustment. Intelligent Systems with Applications, Vol.26, 2025.

• Minakawa, N., Izumi, K., and Murayama, Y. Trade Flow Estimation in International Trade Network by Edge-convolutional Graph Neural Network. Journal of Information Processing, Vol.66, No.1, pp.119-128, 2025.

• Minakawa, N., Izumi, K., Murayama, Y., and Sakaji, H. Firm Default Prediction by GNN with Gravity-model Informed Neighbor Node Sampling. The Review of Socionetwork Strategies, 2024.

• Cheng, L., Izumi, K., Murayama, Y., Yamamura, Y., and Shishido, Y. Analysis of Optimal Market Making Strategies of CFD Market Using Artificial Market Simulation. Transactions of the Japanese Society for Artificial Intelligence, 2024.

• Ueda, T., Izumi, K., and Murayama, Y. Supply Chain Turbulence Index using Foot Traffic Data and Factor Decomposition Method. Transactions of the Japanese Society for Artificial Intelligence, 2024.

• Hashimoto, R., Izumi, K., Murayama, Y., Yamamura, Y., and Shishido, Y. CFD Market Maker’s Policy Optimization using Artificial Market Simulation and Deep Reinforcement Learning. Transactions of the Japanese Society for Artificial Intelligence, Vol.39, No.4, pp.FIN23-F_1-11, 2024.

• Taguchi, R., Sakaji, H., Izumi, K., and Murayama, Y. Asset Allocation Method Based on Sentiment Signals and Causal Information using Multi-asset Classes. International Journal of Smart Computing and Artificial Intelligence, Vol.7, No.2, 2023.

• Taguchi, R., Sakaji, H., Izumi, K., and Murayama, Y. Constructing Sentiment Signal-based Asset Allocation Method with Causality Information. New Generation Computing, 2023.

• Murayama, Y. and Kobayashi, I. Towards Question Answering with Multi-hop Reasoning and Calculation over Knowledge using a Neural Network Model with External Memories. J. Adv. Comput. Intell. Intell. Inform., 27(3), pp.481-489, 2022.

Domestic conferences

• Murayama, Y., Ishigaki, T., Uehara, Y., Miyao, Y., Takamura, H., and Kobayashi, I. Text Generation on Important Features of Table Data. The 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Kumamoto, Japan, June 2023.

• Murayama, Y. and Kobayashi, I. Question Answering with Calculation over Structured Knowledge using a Neural Network Model with External Memories. The 29th Annual Meeting of the Association for Natural Language Processing (NLP), Okinawa, Japan, March 2023.

• Murayama, Y. and Kobayashi, I. Towards Question Answering with Logical Calculation using Knowledge by Tensor Representation. The 16th Young Researcher Association for NLP Studies (YANS), August 2021.

• Murayama, Y. and Kobayashi, I. Dialogue over context and structured knowledge using a neural network model with an external memory. The 34th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), June 2020.

• Murayama, Y. and Kobayashi, I. Approach to dialogue over context and structured knowledge using a neural network model with an external memory. The 26th Annual Meeting of the Association for Natural Language Processing (NLP), March 2020.

• Murayama, Y. and Kobayashi, I. Building a dialogue system over context and knowledge using a neural network model with an external memory. The 14th Young Researcher Association for NLP Studies (YANS), Hokkaido, Japan, August 2019.

• Murayama, Y., Kobayashi, I., Morita, T., Nakano, Y., and Yamaguchi, T. Applying a neural network model of dialogue considering context to Japanese ordering dialogue. The 33th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Niigata, Japan, June 2019.

• Murayama, Y., Kobayashi, I., Morita, T., Nakano, Y., and Yamaguchi, T. Development of an Access Method to Structured Knowledge through Converting Natural Language into SPARQL Queries. The 32nd Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Kagoshima, Japan, June 2018.

• Murayama, Y., Kobayashi, I., Morita, T., Nakano, Y., and Yamaguchi, T. Fundamental Study on an Access Method to Linked Open Data through Converting Natural Language into SPARQL Queries. The 24th Annual Meeting of the Association for Natural Language Processing (NLP), Okayama, Japan, March 2018.