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Tao Hu · 胡涛HUST · VIBE Lab

WORLD MODELS · GENERATIVE AI

Tao Hu 胡涛

Full Professor
Huazhong University of Science and Technology

World models for interactive, closed-loop simulation.

I am a Full Professor at HUST and lead VIBE Lab. My research centers on world models: learning geometric and semantic representations, modeling how environments evolve, and generating controllable future states.

I received my Ph.D. from the University of Amsterdam, advised by Cees G. M. Snoek and Pascal Mettes, and was a postdoctoral researcher in Björn Ommer’s lab at LMU Munich.

World modelsDiffusion & flow matching

Research Keywords

  • Memory in World Model
  • Efficiency in World Model
  • Multiplayer World Models
  • Rolling-Based, Continuation-Based World Model
  • Loop Transformer
  • Tokenizer-Free
  • Continuous Discrete Diffusion
  • Weight-Space Programming

JOIN VIBE LAB

2028 级研究生招生

招收保研/推免硕士研究生 4 人、博士研究生 2 人,欢迎与我联系!

Get in touch →

LATEST UPDATES

News

All news →
Jul 27, 2026 Selected as an Excellent Reviewer for ECCV 2026.
May 27, 2026 Diversifying Similar Subjects for Text-to-image Synthesis with Self-Cross Diffusion Guidance is accepted by IJCV, congrats to Weimin, Jieke, and Meng.
Mar 13, 2026 I joined Huazhong University of Science and Technology (HUST) as a Full Professor.
Feb 22, 2026 Guiding Token-Sparse Diffusion Models is accepted by CVPR 2026, Congrats to Felix and the team~
Jan 22, 2026 Purrception: Variational Flow Matching for Vector-Quantized Image Generation is accepted by ICLR 2026.

PAPERS

View the complete publication list →

BACKGROUND

Experience

Appointments

Apr 2026–present
Full Professor · HUSTGenerative artificial intelligence research.
Sep 2026–present
Chief Technical Expert · Dongfeng Motor R&D InstitutePart-time · World models and interactive closed-loop simulation.
Nov 2023–Nov 2025
Postdoctoral Researcher · LMU MunichOmmer-Lab · Björn Ommer.
2018–2023
Ph.D. Researcher · University of AmsterdamVISLAB · Cees G. M. Snoek and Pascal Mettes.

Industry internships

Jun 2020–Oct 2020
Amazon · AWS RekognitionApplied Scientist InternSemi-supervised and few-shot learning.
Jul 2017–May 2018
Megvii Face++Research InternHuman pose estimation.

Earlier research internship at Xiaomi (2017).

ACADEMIC COMMUNITY

Service

Workshop Organization
  • CVPR eVLM Workshop, 2025 · Co-organizer
  • ECCV AVGenL: Audio-Visual Generation and Learning Workshop, 2024 · Co-organizer
  • NxtAim Workshop: Theory and Practical Aspects of Stable Diffusion · Lead organizer
Area Chair (Workshops)
  • CVPR AI4CC Workshop, 2024
  • CVPR Workshop on Efficient Large Vision Model, 2024
  • ECCV AVGenL: Audio-Visual Generation and Learning Workshop, 2024
Session Chair
  • AAAI Computer Vision Oral Session, 2025
Conference Reviewer
  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • Neural Information Processing Systems (NeurIPS)
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • NeurIPS Datasets and Benchmarks Track
  • IEEE International Conference on Robotics and Automation (ICRA)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • International Conference on Computational Linguistics (COLING)
  • Learning on Graphs Conference (LoG)
  • Asian Conference on Computer Vision (ACCV)
  • British Machine Vision Conference (BMVC)
  • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • German Conference on Pattern Recognition (GCPR)
Journal Reviewer
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Transactions on Machine Learning Research (TMLR)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Multimedia (TMM)
  • Computer Vision and Image Understanding (CVIU)
Workshop Reviewer
  • ICLR Workshop on Generative and Experimental Perspectives for Biomolecular Design, 2024
  • NeurIPS Workshop on Diffusion Models, 2023
  • AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2024
  • ICML GenLaw Workshop, 2023, 2024
  • ICML Frontiers4lcd Workshop, 2023, 2024
  • NeurIPS Workshop on Self-Supervised Learning Theory and Practice, 2023, 2024
  • NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2024
Workshop Proposal Reviewer
  • NeurIPS, 2024
Teaching & Mentoring
  • Teaching and co-supervision at LMU Munich and the University of Amsterdam, spanning computer vision, generative models, and representation learning.
Selected Recognition
  • ICML 2026 · Silver Reviewer Award
  • NeurIPS 2024 · Top Reviewer
  • CVPR 2023 · Doctoral Consortium travel support; selected among the top 13% of 411 applicants

On GitHub

GitHub contributions over the past year