Jinyue Li

Jinyue Li

Hello! I'm Jinyue Li. Feel free to reach out if you are interested in my research or would like to discuss potential collaborations:
ljy0226@mail.ustc.edu.cn

Jinyue Li 2002.02Ph.D Candidate, USTC

I am Jinyue Li, an integrated Ph.D. student in the Department of Electronic Engineering and Information Science (Department 6) at the University of Science and Technology of China (USTC), admitted in 2024. My research focus on: MLLM Reasoning Agent AI4Health USTC Logo

✨ Publications

Information Fusion (Journal) | 2026, SCI, IF-15.7, JCR Q1

M3Net: A Macro→Meso→Micro Clinical-inspired Hierarchical 3D Network for Pulmonary Nodule Classification

Jinyue Li, Yuzhou Yu, Jingjing Yang, Meng Fu, Yani Zhang, Shuyao He, Dianlong Ge, Xin Ning†, Yannan Chu†, Qiankun Li

npj Digital Medicine (Nature Portfolio, Journal) | 2026, SCI, IF-15.1, JCR Q1

An Interpretable AI System for Oral Leukoplakia Progression: From Early Screening to Lesion Delineation

Linfei Feng, Guanyu Chen, Huabao Chen*, Susu Luo, Xuanyu Li, Aokun Liu, Jinyue Li, Huarui Liu, Yimou Wang, Feng He, Lin Jiao, Yang Liu, Yani Zhang†, Qiankun Li†

MICCAI (Conference) | 2026, CCF-B

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

Ying Chen, Jinyue Li, Kun Wang†, Qiankun Li†, Yang Liu

IJCAI (Conference) | 2026, CCF-A

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction

Ying Chen, Jinyue Li, Qiankun Li†

💼 Internship Experience

Assistant Research Algorithm Engineer | 2025.04 – 2025.07

iFLYTEK Co., Ltd. (科大讯飞)

  • Conducted research and development on large language models (LLMs) and their downstream applications.
  • Explored parameter-efficient fine-tuning techniques, including LoRA-based adaptation for domain-specific tasks.
  • Participated in model training, evaluation, and deployment to improve efficiency and real-world applicability.

Algorithm & Hardware Development Intern | 2023.12 – 2024.06

China Electric Power Research Institute (CEPRI, 中国电力科学研究院)

  • Conducted research and development of intelligent algorithms for power system monitoring and analysis.
  • Designed and implemented data processing pipelines for sensor and operational data.
  • Participated in embedded hardware development, debugging, and system integration.
  • Evaluated algorithm performance through experimental testing and real-world deployment scenarios.