About Me
I am currently a third-year master's student in Information Engineering at Shanghai Jiao Tong University, advised by Assoc. Prof. Jiangchao Yao and Prof. Yanfeng Wang. I was a research intern with the Pailitao Algorithm team at Taotian Group (Zhejiang Tmall Technology Co., Ltd.), where I worked with Xu Chen on efficient diffusion LLM inference. Before that, I earned a B.E. in Information Engineering (IEEE Honor Class) and a B.S. in Mathematics and Applied Mathematics through the dual bachelor's degree program at Shanghai Jiao Tong University in 2024.
My research focuses on building efficient and reliable large language models, with an emphasis on diffusion large language models (dLLMs), efficient inference, and multimodal learning.
Education
Shanghai Jiao Tong University
M.E. in Information Engineering
Sep. 2024 – Mar. 2027 (expected)
Shanghai Jiao Tong University
B.E. in Information Engineering (IEEE Honor Class)
B.S. in Mathematics and Applied Mathematics
Sep. 2020 – Jun. 2024
Experience
Research Intern · Taotian Group, Zhejiang Tmall Technology Co., Ltd.
Pailitao Algorithm · Mentor: Xu Chen
Research on efficient diffusion LLM inference, leading to Ripple-Pivot Search.
Nov. 2025 – Jul. 2026
Master's Student · Shanghai Jiao Tong University
Information Engineering · Advisors: Jiangchao Yao and Yanfeng Wang
Research on diffusion large language models, efficient inference, and multimodal learning.
Sep. 2024 – Mar. 2027 (expected)
Publications
- Machine Learning Journal 2025