Jun Gao portrait

AI & Multimodal Research

Jun Gao (高俊)

Ph.D. student in AI at Zhejiang University, focusing on large language models, and model efficiency.

Zhejiang University Ph.D. 2025–2029 Advisor: Xiaoxue Ren

About Me

I am a Ph.D. student at Zhejiang University (2025–2029), advised by Xiaoxue Ren. My research centers on large language models, and model efficiency. Currently, I research on agentic learning under SWE (Software Engineering) scenario, if you are interested in this topic, please feel free to contact me!

Research Interests

Multimodal Learning Large Language Models Model Efficiency Agentic Learning

Academic Profile

  • Ph.D. Computer Science, Zhejiang University
  • M.S. Computer Science, Soochow University, 2025
  • Primary Advisor: Xiaoxue Ren

Selected Publications

Interleaved-modal Chain-of-Thought

Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li

CVPR 2025 (Main)

UniICL: An Efficient ICL Framework

Jun Gao, Qi Lv, Zili Wang, Tianxiang Wu, Ziqiang Cao, Wenjie Li

ACL 2025 (Main)

AIM: Efficient In-Context Learning

Jun Gao, Qian Qiao, Tianxiang Wu, Zili Wang, Ziqiang Cao, Wenjie Li

AAAI 2025 (Main)

Other Publications

Experience