Dake Bu
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Dake Bu

卜 大可 ・ ウラナイ タイカ

Phd Candidate, Department of Computer Science, City University of Hong Kong.

Hi! I’m currently a PhD candidate at Optima Group, Department of Computer Science, City University of Hong Kong, advised by Prof. Hau-San Wong and Prof. Qingfu Zhang since 2023 fall. I’m also fortunate to work closely with Prof. Wei Huang and Prof. Andi Han. Before that, I completed my B.S in 2023 in Mathematics at Xi’an Jiaotong University, advised by Prof. Hui Li and mentored by Prof. Jian Sun.

I’m currently an one-year intern at CFAR, A*STAR, where I’m supervised by Prof. Atsushi Nitanda. Prior to this, I spent one year (2024–2025) as a research intern at the University of Tokyo, working at the Deep Learning Theory Team at RIKEN AIP under the supervision of Prof. Taiji Suzuki. Earlier, from January to May 2023, I was a research assistant in the LOGO Lab at The Chinese University of Hong Kong, advised by Prof. Tianshu Yu.

My research broadly covers theoretical foundations of deep learning, distribution optimization, mean-field optimization, sampling, reinforcement learning and their applications.

You can find a full list of my papers on Google Scholar.


News

  • 2026-05 - One paper on Provable benefit of transformer curriculum post-training accepted to ICML 2026 ([code]).
  • 2026-04 - Two papers on Slowly Annealed Langevin Dynamics ([code]) and A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models ([code]) are available online.
  • 2025-11 - One paper on Provable benefit of transformer curriculum post-training is available on arXiv.
  • 2025-01 — Two papers on theoretical foundation of task vector in In-Context Learning, and Multi-objective Reinforcement Learning with Lexicographic Rewards are accepted to ICML 2025.
  • 2024-09 — One paper on In context learning with multi-concept word semantics is accepted to NeurIPS 2024.
  • 2024-01 — One paper on theoretical foundation of neural active learning accepted to ICML 2025.

Education

  • Oct. 2023 – Present — PhD Candidate, Department of Computer Science, City University of Hong Kong (CityUHK).
  • Aug. 2019 – Jun. 2023 — School of Mathematics and Statistics, Xi’an Jiaotong University (XJTU).

Work Experience

  • Dec. 2025 - Present, - Research Intern, CFAR A*STAR
  • Dec. 2024 - Oct. 2023 - Research Intern, RIKEN AIP
  • Jan. 2023- May. 2023 - Research Assistant, The Chinese University of Hong Kong, Shenzhen

Contact

  • Affiliation: Department of Computer Science, City University of Hong Kong
  • Location: Singapore; Hong Kong; Shenzhen
  • Email: <dakebu2-c[at]my.cityu[dot]edu[dot]hk>

Links

  • 📄 Curriculum Vitae
  • 📚 Google Scholar

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