👩‍💼Jiaojiao Ye

Senior researcher | Professional Committee @ Chinese Association for Artificial Intelligence (CAAI)
Email: jiaojiao.ye@cs.ox.ac.uk
[OX Official] | [Profile] | [Wechat]

Now a PhD at the University of Oxford, obtained my Bachelor’s from Zhejiang University.

🚀 Research interest

My research wish is to build a robust, fully automated system 🤖 with learning-based methods in the challenging and uncertain real-world. Particularly, I am keen to conduct research in the interdisciplinary area of Embodied Agents and Artificial Intelligence, with a passion for precise robotic perception and decision-making in a 3D complicated and non-stationary environment.

My research interest is located in the following areas:

  • Generative Model
  • Embodied AI
  • World Model Learning

We are looking for Intern with interest on World Model, VLA, Whole-Body Control with Force. Also, I love collaborating with others on research! Feel free to contact me (jiaojiao.ye@cs.ox.ac.uk with topic “Intern/Collaboration + Name” ) if you’re interested in research collaboration, Don’t hesitate! :)

🆕 News

See my personal newsđź“° on Linkedin: @JiaojiaoYe

  • Paper accepted by [ICIC 2026]
  • Paper accepted by [ICASSP 2026]
  • Paper accepted by WACV 2025.
  • Won ELISA Mobility Grant.
  • Started Journey at Oxford.
  • Paper accepted by RA-L Conference.
  • Received 1st Scholarships for International Students(5%).
  • Started as an Intern at BCAI.

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Projects

  • Embodied Intelligence: Our team brings deep, multi-disciplinary mastery across the entire robotics spectrum—from high-precision single-arm systems and synchronized dual-arm configurations to advanced, AI-driven humanoids—empowering us to architect agile, resilient solutions for your most complex automation challenges.
  • Oneflow: OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. Since its release, Oneflow has gained nearly 9400 stars GitHub stars and over 1000 forks , users from 200+ top universities & companies(including tsinghua university), demonstrating strong community adoption.

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