Wenxue (Wynn) Li

I am a PhD student at The Hong Kong University of Science and Technology (Guangzhou), advised by Prof.Lei Zhu. My research focuses on advancing AIGC technology, with a specific interest in Video Diffusion Models, World Models, and post-training algorithms for generative AI.

Education

PhD Student, The Hong Kong University of Science and Technology (Guangzhou), Feb 2025 - Present
M.E. in Electronic and Information Engineering, Tianjin University, Sep 2021 - Jun 2024
B.E. in Autonomous Systems & Double degree of Finance, Beijing Jiaotong University, Sep 2017 - Jun 2021

Experience

MiLM Plus, Xiaomi Inc - Research Intern, Sep 2025 - Present

Research Topic: High-resolution video generation and efficient diffusion models.

Monash University - Research Assistant (Advised by A/Prof. Zongyuan Ge and Dr. Lie Ju), Sep 2023 - Apr 2024

Research Topic: Realistic Semi-supervised Learning, Text-prompted Medical Image Segmentation

Airdoc - Algorithm Intern, Jun 2023 - Apr 2024

Project: A deep-learning system predicts tessellate incidence and progression using retinal photographs (Collaborate with Beijing Tongren Hospital)
Project: A deep-learning system to predict the 5-year risk of myopia in children (Collaborate with Eye & ENT Hospital of Fudan University)
Participated in the training of the foundation ophthalmology model

Yizhun Medical AI Co., Ltd - Algorithm Intern, Mar 2023 - Jun 2023

Honors and Awards

First-class Academic Scholarship of Tianjin University, 2023
Outstanding Graduates of Beijing Jiaotong University, 2021
Weinuo Scholarship (only 4 students selected from the EIE School), 2020
First-class Scholarship of Beijing Jiaotong University, 2020
Second-class Academic Scholarship of Tianjin University, 2022
Third Prize, Chinese Mathematics Competition, 2018
Second Prize, American College Mathematical Modeling Competition, 2020

Research Service

Reviewer: ICML, CVPR, MICCAI, Pattern Recognition, AAAI, BMVC

Contact

Email: wxli408@gmail.com / wxli@tju.edu.cn
Mobile: +86 18813044434