I am now an algorithm researcher at an AI startup GigaAI, working under the supervision of Zheng Zhu and Xinze Chen. In June 2025, I obtained my Bachelor’s degree from Xidian University. During my undergraduate studies, I worked as a research intern in NUS-HPC-AI-Lab. I also interned at the DataGrand with Dr. Nuo Xu.
My research interests include world models, visual generation and embodied intelligence. I am exploring potential PhD opportunities in my field of interest. Feel free to reach out at email!
📝 Selected Works
Below present the selected publications. The full list of publications can be obtained via My Google Scholar.
Publications
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
Kai Wang, Mingjia Shi, Yukun Zhou, et al.
- As a plug-and-play and architectureagnostic approach, SpeeD consistently achieves 3× acceleration across various diffusion architectures, datasets, and tasks.
Ziheng Qin, Zhaopan Xu, Yukun Zhou, et al.
- InfoGrowth can improve data quality/efficiency on both single modal and multi-modal tasks, with an efficient and scalable design.
Projects
GigaWorld-0: World Models as Data Engine to Empower Embodied AI
Responsible for the training and evaluation of the video foundation model in GigaWorld-0, as well as the fine-tuning of downstream tasks and inference acceleration.
- A unified world model framework designed explicitly as a data engine for Vision-Language-Action learning
Open-Sora: Democratizing Efficient Video Production for All
Project participant as intern of Luchen Technology.
- Open-Sora is an open-source video generation model designed to produce high-fidelity video content. We democratizes full access to all the training/inference/data preparation codes as well as model weights
📖 Educations
- 2021.09 - 2025.06, School of Computer Science and Technology, Xidian University.
💻 Internships
- 2023.07-2023.10, Data Grand, China.
- 2024.05-2024.07, Luchen Technology, China.
- 2024.08-2025.06, GigaAI, China.