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.

Haojun Yan beside the River Thames in London
hao7unyan@gmail.com hy431@cam.ac.uk

Publications

* Equal contribution

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