Haojun Yan
World Models · Robot Learning · 3D/4D Vision
I am a World Model Research Intern on the Genie Team at AGIBOT, working on evaluating robot policies with generated video rollouts. I also work with Prof. Ayush Tewari at the Visual Structure Learning Lab, University of Cambridge, on dynamic scene reconstruction.
My research interests lie at the intersection of world models, robot learning, and 3D/4D vision. My work spans reconstructing dynamic environments from sparse observations, learning bimanual manipulation from human demonstrations, and evaluating robot behavior in learned simulators.
I studied Machine Learning and Machine Intelligence at the University of Cambridge (MPhil, 2025–2026), and received my B.Eng. in Computer Science and Technology from Beihang University in 2025. Previously, I interned at LatenCore AI and Galaxea AI.
I am seeking PhD opportunities in world models, robot learning, and 3D/4D vision. Please feel free to get in touch.
Publications
* Equal contribution
Ionformer: A Data-Driven Deep Learning Baseline for Global Ionospheric TEC Forecasting
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
Research Experience
AGIBOT / Genie Team
Aug 2026 – Present
World Model Research Intern · Shanghai, China
University of Cambridge / Visual Structure Learning Lab
Mar 2026 – Present
Visual Reconstruction and Video Generation Researcher · Cambridge, UK
Advised by Prof. Ayush Tewari
LatenCore AI
May 2026 – Aug 2026
Physical AI Intern · Cambridge, UK
Advised by Dr. Chuang Yu (UCL Interaction Center)
Galaxea AI
Jun 2024 – Feb 2025
3D Computer Vision Research Intern · Beijing, China
Advised by Prof. Hang Zhao (Tsinghua University)
Education
University of Cambridge
Oct 2025 – Aug 2026
MPhil in Machine Learning and Machine Intelligence
Thesis: Efficient 4D Reconstruction from Temporally Sparse Keyframes.
Beihang University
Sep 2021 – Jun 2025
B.Eng. in Computer Science and Technology