Zhimin Zhang

Wangxuan Institute of Computer Technology

Peking University

Beijing, China

zm_zhang@stu.pku.edu.cn

I am a Ph.D. student at the Wangxuan Institute of Computer Technology, Peking University, advised in the area of computer application technology. I received my B.Eng. in Software Engineering from Wuhan University (GPA 3.88/4.0, top 1% for two academic years). My research interests include 3D/4D generation, video generation, motion generation, digital humans, and world models.

I am currently an algorithm intern at Kuaishou Kling AI, working on general object motion transfer, camera motion cloning, and related video generation problems. My recent work spans cross-species motion transfer, 3D point cloud generation, and out-of-distribution generalization for 3D perception.

I am actively seeking research and algorithm positions in generative AI, multimodal learning, video generation, world models, and embodied AI.

Honors and Awards

National Scholarship (2020, 2021), 2/208
First-class Scholarship, Wuhan University (2019–2021), Top 5%
Outstanding Graduate, Wuhan University (2022), Top 10%
Outstanding Research Award, Peking University (2024)

news

Dec 01, 2025	Started as a video generation algorithm intern at Kuaishou Kling AI.
Oct 27, 2025	Our paper Behave Your Motion was accepted to ACM MM 2025.
Apr 14, 2024	Our paper InvariantOODG was published at ICASSP 2024.

selected publications

ACM MM

Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer

Zhimin Zhang, Bi’an Du, Caoyuan Ma, Zheng Wang, and Wei Hu

In ACM International Conference on Multimedia, 2025

Bib

@inproceedings{zhang2025behave,
  title = {Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer},
  author = {Zhang, Zhimin and Du, Bi'an and Ma, Caoyuan and Wang, Zheng and Hu, Wei},
  booktitle = {ACM International Conference on Multimedia},
  year = {2025},
  pages = {9638--9647},
}

ECCV

RangeLDM: Fast Realistic LiDAR Point Cloud Generation

Qianjiang Hu, Zhimin Zhang, and Wei Hu

In European Conference on Computer Vision, 2024

Bib

@inproceedings{hu2024rangeldm,
  title = {RangeLDM: Fast Realistic {LiDAR} Point Cloud Generation},
  author = {Hu, Qianjiang and Zhang, Zhimin and Hu, Wei},
  booktitle = {European Conference on Computer Vision},
  year = {2024},
  pages = {115--135},
}

ICASSP

InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization

Zhimin Zhang, Xiang Gao, and Wei Hu

In IEEE International Conference on Acoustics, Speech and Signal Processing, 2024

Bib

@inproceedings{zhang2024invariantoodg,
  title = {InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization},
  author = {Zhang, Zhimin and Gao, Xiang and Hu, Wei},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
  year = {2024},
  pages = {7420--7424},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2401.03765},
}