About me

I am an Assistant Professor and Principal Investigator at the National Institute of Informatics, jointly affiliated with The Graduate University for Advanced Studies (SOKENDAI). I also work part-time as a Research Scientist at Sakana AI.
I received my Ph.D. from Yamasaki Lab at The University of Tokyo in 2025 and my M.S. from Peking University, and I have held research internships at Sakana AI, Adobe, and SenseTime.

My research targets self-improving machine learning, with a focus on generative models, computer vision, and vision–language models. I currently approach this through three complementary fronts:

• Model / Architecture front:
  I design and analyze efficient foundation model architectures for generative vision and vision–language tasks, including autoregressive and diffusion-based models, as well as large-scale transformers. This includes work on compact and scalable architectures such as ISA, OCNet, and GreenMIM, and will extend to novel architectures that better exploit structure in data and computation.

• Algorithm / Data-efficiency front:
  I develop data-efficient learning algorithms that uncover and leverage hidden self-supervision in visual and multi-modal data, including semi-/self-/weakly supervised methods and robust training under limited or noisy labels. Examples include SAT, LEWEL, and SimMatch.

• Weight Space Learning front:
  I study neural networks in weight space, including model merging, composition, and generation. The goal is to understand and exploit the structure and knowledge of model weights for instant adaptations and model recycle.

Opportunity

I host funded positions for:

1. Intern students through the NII International Internship Program;
2. Ph.D. students through the Informatics Program at SOKENDAI / NII;
3. DAAD Ph.D./Post Doc: through the DAAD IFI-program for German students or students studying at German universities.
4. Research Assistants from domestic universities at NII.

All Ph.D. students enrolled at SOKENDAI will be supported by either a scholarship or a research assistantship (RA).

If you are interested, please send me an email with your CV, a brief description of your research background, and the potential research topics you would like to explore in my group.

News

• 2025/11: I will be serving as an Area Chair at ICML 2026.
• 2025/04: I’ve joined NII and SOKENDAI as an Assistant Professor & Principal Investigator.
• 2025/03: Graduated from The University of Tokyo.
• 2025/01: I started an internship at Sakana AI as a Research Scientist, Tokyo.
• 2024/08: I gave an invited talk at MIRU 2024.
• 2024/07: One paper (SCOMatch) was accpted by ECCV 2024.
• 2023/07: One paper SimMatchv2 was accepted by ICCV 2023.
• 2023/05: I started an internship at Adobe as a Research Scientist, San Jose.
• 2023/03: Gave a talk on SAT (slides) at Waves in AI seminar.
• 2022/10: One paper (SAT) was accepted at T-PAMI.
• 2022/09: One paper (GreenMIM) was accepted at NeurIPS 2022.
• 2022/03: Two papers (LEWEL and SimMatch) were accepted at CVPR 2022.