Haozhuo Zhang 张浩卓

  First-Year PhD Student, Recipient of the Dean's Doctoral Scholarship Award

  Department of Computer Science, School of Engineering

  The University of Manchester

  Email: haozhuo.zhang@postgrad.manchester.ac.uk

I am a first-year PhD student at Department of Computer Science, School of Engineering, the University of Manchester, supervised by Prof. Wei Pan and Prof. Michele Caprio.
I am also working as a remote research intern at Humanoid Robot Motion Control Department, X-Humanoid.
I obtained my B.S. in Computer Science from Peking University in July 2025, and was recognized with the EECS Top Ten Outstanding Undergraduate Thesis Award.

My research intersts lie in robot learning, especially that for Humanoids. My research aims to build general purpose robots, which can really be help of people's everyday life.

Other Collaborators: Shanghang Zhang, Qiang Zhang, Jian Tang, Lin Shao, Bin Zhu, and Jiahuan Zhou.

PoseDiff: A Unified Diffusion Model Bridging Robot Pose Estimation and Video-to-Action Control
Haozhuo Zhang, Michele Caprio, Jing Shao, Qiang Zhang, Jian Tang, Shanghang Zhang*, Wei Pan*
* indicates the corresponding author.
In Submission.
Available on arXiv.
Paper | Website |

HumanoidVerse: A Versatile Humanoid for Vision-Language Guided Multi-Object Rearrangement
Haozhuo Zhang, Jingkai Sun, Michele Caprio, Jian Tang, Shanghang Zhang, Qiang Zhang*, Wei Pan*
* indicates the corresponding author.
In Submission.
Available on arXiv.
Paper | Website |

Hand1000: Generating Realistic Hands from Text with Only 1,000 Images
Haozhuo Zhang, Bin Zhu*, Yu Cao, Yanbin Hao
* indicates the corresponding author.
Accepted by AAAI 2025.
Available on arXiv.
Paper | Website | Supplementary

FLIP: Flow-Centric Generative Planning for General-Purpose Manipulation Tasks
Chongkai Gao, Haozhuo Zhang, Zhixuan Xu, Zhehao Cai, Lin Shao
Accepted by ICLR 2025.
CoRL 2024 Workshop LEAP Oral Presentation.
CoRL 2024 Workshop on X-Embodiment Robot Learning.
Paper | Website

Mitigate Catastrophic Remembering via Continual Knowledge Purification for Noisy Lifelong Person Re-Identification
Kunlun Xu, Haozhuo Zhang, Yu Li, Yuxin Peng, Jiahuan Zhou
Accepted by ACM Multimedia 2024.
Paper