Welcome - ようこそ - 歓迎!

I'm SUZUKI, Atsushi (鈴木 惇), Assistant Professor at the University of Hong Kong (HKU).

My research interest is applied mathematics for machine learning. I have been working on learning theory and differential-geometric machine learning.

Email: atsushi.suzuki.rd [at] outlook.com
Click here to access our research group website (KAWAII AI lab).

News

• Will serve as Area Chair for NeurIPS 2025.
• Our paper, "Hallucinations are inevitable but statistically negligible," has been uploaded to arXiv (2025-02-15).
• Joined the University of Hong Kong as of 2025-01-01.
• Our paper, "Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models," has been uploaded to arXiv (2024-09-12).

About me

Research Interests: Applied Mathematics for Machine Learning

• Small machine learning
  by Riemannian-manifold-based (including hyperbolic-space-based) machine learning and optimization.
• Evaluating machine learning's limitation
  by learning theory and information theory.
• Manipulating and understanding multi-media data (e.g., images, languages, audio, etc.)
  by deep learning, geometry, and algebra.

Career

• 2025.01-Present: Assistant Professor, Department of Mathematics, Faculty of Sciences,
  The University of Hong Kong, Hong Kong SAR. Personal webpage at the University of Hong Kong
• 2022.08-2024.12: Assistant Professor (UK Lecturer), Department of Informatics, Faculty of Natural, Mathematics & Engineering Sciences,
  King's College London, United Kingdom.
• 2023.05-2024.03: Visiting Researcher, Department of Mathematical Informatics, Graduate School of Information Science and Technology,
  The University of Tokyo, Japan.
• 2020.04-2022.08: Assistant Professor (UK Lecturer), School of Computing and Mathematical Sciences,
  University of Greenwich, United Kingdom.

Education

• 2020.03: Doctor of Information Science and Technology (Department of Mathematical Informatics),
  The University of Tokyo, Japan. Supervisor: Professor Kenji Yamanishi
• 2017.03: Master of Information Science and Technology (Department of Mathematical Informatics),
  The University of Tokyo, Japan. Supervisor: Professor Kenji Yamanishi
• 2015.03: Bachelor of Engineering (Department of Mathematical Engineering and Information Physics),
  The University of Tokyo, Japan. Supervisor: Professor Shinji Hara

Fellowships and Grants

• Wuhan University-Duke Kunshan University Sino-foreign Joint Research Platform Seed Funding Grant (2023-)
• Henan Provincial Foreign Experts Program (2022-)
• Daiwa Foundation Awards (Co-PI) (2021.06-2022.03)
• JSPS Research Fellowship for Young Scientists (DC2) (2018.04-2020.03)

Academic Services

• Area Chair: NeurIPS (2024)
• Session Chair: IJCAI (2023)
• Topic Editor: Frontiers in Big Data
• Reviewer: JMLR, ICML (2024-), NeurIPS (2023), ICLR (2024-), etc.

Awards

• NeurIPS 2023 Complimentary Registration (awarded for top 8% reviewers)

Languages

• Fluent: English, Japanese (Native), Chinese (Mandarin)
• Others: Malay-Indonesian, Cantonese
• Programming: C++11, Python 3, Ruby on Rails, Tensorflow 2, MATLAB, Perl