Work Experiences

 
 
 
 
 
Shanghai Artificial Intelligence Laboratory
Research Intern
Shanghai Artificial Intelligence Laboratory
December 2022 – Present Shanghai

Research on generative models. During this period,

  • A high-quality text-to-video generation framework LaVie is proposed.
  • A general Transformer-based latent video diffusion model, referred to as Latte, is introduced.
  • An image animation framework Cinemo based on motion diffusion models is introduced.
 
 
 
 
 
Meituan
Algorithm Engineer
Meituan
June 2021 – September 2022 Beijing
Research on model compression. A model compression tool has been developed to assist developers in rapidly deploying models to edge devices without compromising model accuracy, while simultaneously enhancing model inference speed. This tool has been extensively implemented across various businesses at Meituan. One paper was accepted by CVPR 2022 during this period.
 
 
 
 
 
Meituan
Algorithm Intern
Meituan
April 2020 – August 2020 Beijing
Research on Image Dewatermarking Algorithm. An image dewatermarking algorithm was proposed based on attention mechanism and self-supervised learning. The service is now launched on Meituan App. Related work was accepted by ICPR 2020 and selected as an oral presentation.

Education Experiences

 
 
 
 
 
Monash University
Ph.D candidate
September 2022 – Present Melbourne
Major in Computer Science
 
 
 
 
 
University of Chinese Academy of Sciences
Master of Engineering
September 2018 – June 2021 Beijing
Major in Computer Technology
 
 
 
 
 
Jiangsu University
Bachelor of Engineering
September 2014 – June 2018 Jiangsu
Major in Applied Electronic Information Engineering