🌟 About Me

Whassup!

I’m a first-year PhD student at the RCAST AI Lab, Department of Advanced Interdisciplinary Studies, Graduate School of Engineering, The University of Tokyo, supervised by Prof. Naoya Takeishi and Prof. Takehisa Yairi.

My research explores flow-based generative models—how probability flows can generate the world we imagine. Recently, I’ve been drawn to the linearization of generative models, as it reflects the ultimate beauty and philosophy of computer science and AI: simplicity that hides subtle complexity.

Feel free to reach out if you’d like to chat about generative modeling, collaborate, or simply want access to my code before it generates consciousness.

📝 Publications

• ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA, Zhao Xinjie, Fan Gao, Xingyu Song, Yingjian Chen, Rui Yang, Yanran Fu, Yuyang Wang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).

• 4A: An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video, Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi, Proceedings of the 27th European Conference on Artificial Intelligence (ECAI’24), Santiago de Compostela, Spain, Oct. 19-24, 2024 (Oral).

• Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training, Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi, Proceedings of the 27th European Conference on Artificial Intelligence (ECAI’24), Santiago de Compostela, Spain, Oct. 19-24, 2024 (Oral).

• Game Engine Based Data Augmentation with In-game Customization and Modeling for Malicious Behaviors Identification in Nuclear Security, Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi, Proceedings of INMM/ESARDA 2023 Joint Annual Meeting.

• Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security, Zhan Li, Xingyu Song, Shi Chen, Kazuyuki Demachi, Expert Systems with Applications, Vol.236, 121367.

• Abnormal Detection in Nuclear Security Videos Based on Label-Specific Autoencoders and Reconstruction Errors Comparison, Zhan Li, Xingyu Song, Shi Chen, Kazuyuki Demachi, Nuclear Engineering and Technology.

• Armed Boundary Sabotage: A Case Study of Human Malicious Behaviors Identification with Computer Vision and Explainable Reasoning Methods, Zhan Li, Xingyu Song, Shi Chen, Kazuyuki Demachi, Computers and Electrical Engineering, Vol.121, 109924.

• Malicious behaviors identification in nuclear security based on visual relationships extraction and knowledge reasoning, Zhan Li, Xingyu Song, Shi Chen, Kazuyuki Demachi, Proceedings of INMM/ESARDA 2023 Joint Annual Meeting.

• Advancement and Development of Graph-Based Reasoning Method for Human Malicious Behaviors Identification Based on Graph Contrastive Representation Learning, Zhan Li, Xingyu Song, Shi Chen, Kazuyuki Demachi.

📄 Preprints

• JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models’ Detection of Human Self-Destructive Behavior Content in Jirai Community, Yunze Xiao, Tingyu He, Lionel Z. Wang, Yiming Ma, Xingyu Song, Xiaohang Xu, Irene Li, Ka Chung Ng.

• Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs, Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Zixin Xu, Xiujie Chen, Issey Sukeda, Irene Li.

• Advancement and Development of Graph-Based Reasoning Method for Human Malicious Behaviors Identification Based on Graph Contrastive Representation Learning, Zhan Li, Xingyu Song, Shi Chen, Kazuyuki Demachi.

• GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition, Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi.

📖 Educations

• 2025 - Present, PhD, Graduate School of Engineering, The University of Tokyo.
• 2022 - 2024, M.Eng., Graduate School of Engineering, The University of Tokyo.
• 2021 - 2022, Research Student, School of Fundamental Science and Engineering, Waseda University.
• 2017 - 2021, B.Sc., College of Hongshen/College of Computer Science, Chongqing University.

🏆 Honors and Awards

• 2025，SPRING GX Fellowship, The University of Tokyo.

💼 Internships

• 2020.06 – 2020.08, Sichuan Hwadee Information Technology Co., Ltd, Chengdu, China.
• 2019.01 – 2019.03, National key laboratory of Software Development Environment, Beihang University, Beijing, China. Supervised by Prof. Zhiming Zheng.
• 2018.07 – 2018.09, ChinaSoft International, Chongqing, China. CQUHub