🌟 About

Hello, my name is Yunhao Li, and I am currently serving as a research assistant at Chinese Academy of Sciences, where I am fortunate to work under the esteemed guidance of Prof. Qiong Wang. My academic journey commenced at Guangzhou University, where I pursued and obtained my Master’s degree in Artificial Intelligence. During this enriching period, I was mentored by Assoc. Prof. Yan Pang , whose invaluable insights and expertise have profoundly shaped my perspective and skills in the field. Prior to my Master’s degree, I also completed my Bachelor’s degree in Computer Science at Guilin University of Electronic Technology, further solidifying my foundation in the realm of technology.

My research interests focused on Computer Vision, Medical Image Analysis, and Multimodal Learning. I am deeply committed to harnessing the power of these technologies to make meaningful impact on the world. My ultimate aspiration is to contribute to the medical science, thereby enhancing human health.

📚 Publications

  • 2025
    Efficient Breast Lesion Segmentation from Ultrasound Videos Across Multiple Source-limited Platforms

    Yan Pang, Yunhao Li, Teng Huang, Jiaming Liang, Ziyu Ding, Hao Chen, Baoliang Zhao, Ying Hu, Zheng Zhang, Qiong Wang.

    Journal of Biomedical and Health Informatics
    JBHI
  • 2025
    Online Self-distillation and Self-modeling for 3D Brain Tumor Segmentation

    Yan Pang, Yunhao Li, Teng Huang, Jiaming Liang, Zhen Wang, Changyu Dong, Dongyang Kuang, Ying Hu, Hao Chen, Tim Lei, Qiong Wang.

    Journal of Biomedical and Health Informatics
    JBHI
  • 2024
    Optimized Breast Lesion Segmentation in Ultrasound Videos Across Varied Resource-Scant Environments

    Yunhao Li, Chen Zibin, Yan Junming, Ding Ziyu, Li Jie ,Pei Xiaoqing, Zhang Zheng, Qiong Wang, Yan Pang.

    Asian Conference on Computer Vision
    ACCV
  • 2024
    IPM: An Intelligent Component for 3D Brain Tumor Segmentation Integrating Semantic Extractor and Pixel Refiner

    Yunhao Li, Caiyan Tan, Mingdu Zhang, Xi Zhang, Teng Huang ,Xiao-Qing Pei, Yan Pang.

    Chinese Conference on Pattern Recognition and Computer Vision
    PRCV
  • 2023
    Slim UNETR: Scale hybrid transformers to efficient 3D medical image segmentation under limited computational resources

    Yan Pang, Jiaming Liang, Teng Huang, Hao Chen, Yunhao Li, Dan Li, Lin Huang, Qiong Wang.

    IEEE Transactions on Medical Imaging
    TMI
  • 2023
    CAM-PC: A novel method for camouflaging point clouds to counter adversarial deception in remote sensing

    Bo Wei, Teng Huang, Xi Zhang, Jiaming Liang, Yunhao Li, Cong Cao, Dan Li, Yongfeng Chen, Huagang Xiong, Feng Jiang, Xiqiu Zhang.

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    IEEE J-STARS
  • 2023
    AgileNet: A Rapid and Efficient Breast Lesion Segmentation Method for Medical Image Analysis

    Jiaming Liang, Teng Huang, Dan Li, Ziyu Ding, Yunhao Li, Lin Huang, Qiong Wang, Xi Zhang.

    Chinese Conference on Pattern Recognition and Computer Vision
    PRCV

💼 Work Experience

  • 2023/10-2024/06
    ML Researcher & Data AnalystChina Post Bank
    • Developed AI-driven finance data precision recommendation model for customer marketing.
    • Designed and implemented a model training engine for automatic rolling training and optimization
    • Contributed to a 15% increase in performance for China Post Bank GuangZhou.

💻 Programming Skills

🎓 Education

  • 2022-2025: Master of Artificial Intelligence, GuangZhou University, Advisor: Yan Pang , GPA 3.61/4 (National Scholarship)
  • 2018-2022: Bachelor in Computer Science, Guilin University of Electronic Technology, GPA 4.15/5

🏆 Honors & Awards

  • 2023
    First Prize in the National Guangzhou Pazhou Algorithm Competition
    • Lead AI and backend teams develop an Artificial Intelligence Security Assessment platform.
    • Implemented 20 + adversarial attack, 10 + defense algorithms, integrated image & text classification, object detection models.
  • 2020
    Third Prize in the National China Collegiate Computing Contest-AI Track
    • Developed an Intelligent Construction Site Monitoring System for Helmet Detection and Tracking.
    • Implemented Helmet Detection and Tracking Pipeline by Vue, FastAPI, and YOLO.
  • 2020
    Second Prize in the National 9th "China Software Cup"
    • Developed a Real-Time Vehicle Recognition and Tracking System for Traffic Light Scenarios.
    • Implemented Traffic Light Visual Processing Pipeline by YOLO, DeepTrack, and Vue, tracking cars and pedestrians.
  • 2020
    Second Prize in the National Competition at the RoboMaster
    • Led computer vision algorithm team to build real-time target recognition and tracking system for edge devices.
    • Co-work with the Mechanical Design and Circuit Design Department to build robots.
  • 2019
    Second Prize in the National 9th "China Education Robot Competition"
    • Developed computer vision systems enable robots to recognize and navigate around obstacles and identify specific markers accurately.
    • Train object detection models that run on edge devices.

📜 Patent

Yunhao Li

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