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.

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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

  1. Yushi Ye, Xu Chen, Haoyun Jiang, Jinsong Lan, Xiaofeng Cao, Xiangtao Li, Ivor Tsang, Yanfeng Wang, Tanghaihong, Jiangchao Yao
    arXiv Preprint
  2. Yushi Ye*, Feng Hong*, Huangjie Zheng, Xu Chen, Zhiyong Chen, Yanfeng Wang, Jiangchao Yao
    CVPR 2026
  3. Feng Hong*, Geng Yu*, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao
    ICLR Poster 2026
  4. Zhihan Zhou*, Feng Hong*, Jiaan Luo, Yushi Ye, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang
    NeurIPS Poster 2025
  5. Zhihan Zhou, Yushi Ye, Feng Hong, Peisen Zhao, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang
    Machine Learning Journal 2025

Awards & Service

🏅
Zhiyuan Honors Scholarship · 2020
🏅
First-Class Graduate Freshman Academic Scholarship · 2024
🏅
First-Class Graduate Comprehensive Academic Scholarship · 2025
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Reviewer for ICML, NeurIPS, AAAI, and TMLR