About

Hi, my name is Yunhao Li. I am currently pursuing a Master of Science in Artificial Intelligence at Guangzhou University. My research interests focus on Computer Vision, Medical Image Analysis and Multimodal Learning. I have strong hands-on skills, proficient in tools like PyTorch, Transformers, AutoGluon, and server-side technologies including Vue, FastAPI, and Spring Cloud. My achievements include multiple national competition awards and patents. Ultimately, I aim to help others reach their full their potential through education.

Programming Skills

Work Experience

  • 2023/10-2024/06
    ML Researcher & Data Analyst
    China 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.

Publications

  • 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

  • 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

  • 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

  • 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

  • 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

Education

  • 2022-2025
    Master of Artificial Intelligence
    GuangZhou University
    • Major in Artificial Intelligence
    • Advisor: Yan Pang
    • GPA 3.61/4
  • 2018-2022
    Bachelor in Computer Science
    Guilin University of Electronic Technology
    • Major in Computer Science
    • 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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