Interleaved-modal Chain-of-Thought
Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li
CVPR 2025 (Main)
AI & Multimodal Research
Ph.D. student in AI at Zhejiang University, focusing on large language models, and model efficiency.
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
Academic Profile
Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li
CVPR 2025 (Main)
Jun Gao, Qi Lv, Zili Wang, Tianxiang Wu, Ziqiang Cao, Wenjie Li
ACL 2025 (Main)
Jun Gao, Qian Qiao, Tianxiang Wu, Zili Wang, Ziqiang Cao, Wenjie Li
AAAI 2025 (Main)
CoRE: A Fine-Grained Code Reasoning Benchmark Beyond Output Prediction
Authors: Jun Gao, Yun Peng, Qian Qiao, Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Shichao Weng, Zhenchang Xing, Xiaoxue Ren
ACL 2026 Findings
SelfCP: Compressing over-limit prompt via the frozen large language model itself
Authors: Jun Gao, Ziqiang Cao, Wenjie Li
Information Processing & Management 2024
Guiding ChatGPT to generate salient domain summaries
Authors: Jun Gao, Ziqiang Cao, Shaoyao Huang, Luozheng Qin, Chunhui Ai
IJCNN 2024 (Oral)
DNTextSpotter: Arbitrary-shaped scene text spotting via improved denoising training
Authors: Qian Qiao, Yu Xie, Jun Gao, Tianxiang Wu, Shaoyao Huang, Jiaqing Fan, Ziqiang Cao, Zili Wang, Yue Zhang
ACM MM 2024
ReMind: Understanding Deductive Code Reasoning in LLMs
Authors: Jun Gao, Yun Peng, Xiaoxue Ren
arXiv Preprint
Research Intern — Soul AI
Multimodal Team, So Aura Talent Program
Shanghai | Oct 2025 – Mar 2026
Visiting Researcher — Westlake University
Research collaboration with Tao Lin
Hangzhou | Oct 2024 – Dec 2024
Research Assistant — The Hong Kong Polytechnic University
Research with Wenjie Li and Yongqi Li
Hong Kong | July 2024 – Oct 2024