Tao Hu

University of Amsterdam.


Lab 42, 4.27

Science Park 900

University of Amsterdam

I will continue my generative AI journey as postdoc in Ommer-Group ( Stable Diffusion Group ). Final-year PhD, I finished my PhD at VISLab, University of Amsterdam, supervised by Cees Snoek and Pascal Mettes. Closely coorporated with David W Zhang, Yuki Asano, Basura Fernando.

Open to discussion and collaboration, feel free to send an email or message on WeChat.

Focused on introducing inductive bias into neural network to achieve data-efficiency by few-shot learning, generative model, etc. Have a conviction that generative modelling will be the future of discriminative modelling.

I'm on the job market. Feel free to contact me. [AIGC expert]

Publication | GitHub | CV(updated in July.2023) |
| Research Note | Chat with me |Wechat

Tao Hu's wechat


Aug 7, 2023 I am selected for CVPR 2023, ICCV 2023, and BMVC 2023 Doctoral Consortium. Here is the Summary of my PhD Research.
Jun 29, 2023 Two papers about the flow matching are submitted, thanks to my coorporators~ :sparkles: :smile:
May 22, 2023 Happy to present my works at FoMo lectures, KAUST, JiangMen. Thanks for the invitation from Peter Bloem, Bernard.
Jan 29, 2023 Committee members confirmed: Theo Gevers, Marcel Worring, Efstratios Gavves, Bernard Ghanem, Tim Salimans. :smile:

Selected publications


  1. ./fsinr.png
    On the Few-Shot Generalization of Learning on Implicit Neural Representations
    Tao HuDavid W Zhang, Yunlu Chen, Teng Long, Yuki Asano, Pascal MettesEfstratios GavvesBasura Fernando, and Cees G.M. Snoek
    In ICCV NeRF4ADR Workshop, 2023
    Explore few-shot generalization of INR on images.
  2. ./fm-s2s.png
    Flow Matching for Conditional Text Generation in a Single Sampling Step
    In Submission, 2023
    Flow Matching for text generation
  3. ./fm.png
    Latent Space Editing in Transformer-based Flow Matching
    In ICML 2023 Workshop, New Frontiers in Learning, Control, and Dynamical Systems, 2023
  4. ./sgdm-why.png
    Self-Guided Diffusion Models
    In CVPR, 2023
    A bridge between the community of self-supervised learning and diffusion models. Short version to appear in NeurIPS 2022 Workshop on Score-Based Methods and NeurIPS 2022 Workshop Self-Supervised Learning Theory and Practice.


Youtube(For Fun): Vincent Talk

Chainlink hodler.