Baiyuan Chen | 陳柏源

First-year graduate student, Matsuo-Iwasawa Lab
Department of Technology Management for Innovation, The University of Tokyo

Baiyuan Chen

I am a first-year graduate student at the University of Tokyo, advised by Yutaka Matsuo. I obtained my bachelor's degree in Mathematical Sciences with a minor in Cognitive Science from UTokyo, graduating as the Department Valedictorian. I had the pleasure of collaborating with Masaaki Imaizumi and Shinji Ito.

Previously, I worked on deep learning theory, focusing on the topological and dynamical properties of machine learning models. Currently, my research centers on generative models—particularly video generation. I am especially interested in long-time video generation and reconstructing visual content from brain activity.

You can't connect the dots looking forward; you can only connect them looking backward. So you have to trust that the dots will somehow connect in your future. — Steve Jobs


News

Mar. 2025

Received the Dean's Award and was named Valedictorian of the Department of Integrated Sciences.

Research Projects

TF RL

Transformer for Non-stationary Learning

Baiyuan Chen, Shinji Ito, Masaaki Imaizumi

--Ongoing Project--

TopoLip

Is Smoothness the Key to Robustness? A Comparison of Attention and Convolution Models Using a Novel Metric

Baiyuan Chen

Link

Topological Priors

Exploiting Topological Priors for Boosting Point Cloud Generation

Baiyuan Chen

2nd International Conference on Artificial Intelligence, Database and Machine Learning (AIDML 2024)
Link

Dynamical Systems

Dynamical systems analysis

Advisor: Prof. Tetsuhiro S. Hatakeyama

• A highly selective, research-based course attended by only three students in the department.
• Phase 1: Analyzed various dynamical systems and statistical mechanics models, including chaos, Hodgkin-Huxley equations, and the Ising model.
• Phase 2: Conducted independent research on traffic congestion and identified unusual patterns in flow-speed relationships.
Link

Work Experience

Aug. 2024 - Oct. 2024

Software Development Engineer Intern @ Oin Auto

• Collaborated with the SDE team to build a job-search website.
• Built a database for the job-searching website.

Oct. 2023 - Jan. 2024

Data Analyst Intern @ Accenture (Shanghai)

• Leveraged linear programming and machine learning methods to address optimization problems.
• Prepared and visualized data, collaborating with other teams to provide insight for decision-making.

Aug. 2023 - Sept. 2023

Research Intern @ Forms Syntron

• Conducted comprehensive market research on image processing to identify emerging trends and market demands.
• Collaborated with the project assistant to facilitate software development and testing process.

Aug. 2022 - Jun. 2023

Math and Physics Teacher @ AYANE Seminar (文音ゼミナール)

• Taught mathematics and physics to students in preparation for the Examination for Japanese University (EJU).