Personal Details

• Name: Chaoqun Li
• Email: [email protected]

Education

• Zhengzhou University (Sep. 2016 - Jun. 2020)
  Bachelor's degree in Computer Science and Technology

• University of Texas at Arlington (Jan. 2025 -- )
  Supervised by Yuede Ji

Research Experience

• Graduation Design: Pedestrian Safety Helmet Wearing Detection
  • Based on Background modeling, pedestrian detection, Yolo v3, and color feature recognition to detect construction site pedestrians in real-time and capture their helmet-wearing status.
  • Keywords: Background modeling, Yolo v3, pedestrian detection, computer vision, color feature detection.
  • Supervised by Xiaoheng Jiang.

Work Experience

• Internship (2019.06 - 2019.09)
  Company: Henan 863 Software Co., Ltd
  Duties included: Processing massive data with Hadoop and data analysis.
• Internship (2021.02 - 2021.06)
  Company: ZJ UNIS
  Duties included: Back-end developer utilizing Java.
• Full-time (2021 - 2024)
  Company: MediaTek
  Duties included: Involved in Android development.

Skills

• Programming Languages: Java, C/C++, Python
• Database Tools: SQL, SQLite, Hadoop
• Operating Systems: Windows, Linux
• Web Development: HTML, JavaScript
• Version Control: Git

Projects

• Rhythm Player Application
  • Languages: C++, Java
  • Used SoundTouch open source libraries to develop a music player with step frequency and music beat matching.
  • Core Features: BPM analysis, step frequency detection, MP3 player.
• Segment Anything Android Demo
  • Languages: C++, Java
  • Load SAM model and realize real-time object segmentation.
  • Core Features: Segment any object in a picture by clicking.

Honors and Awards

• 2018 China Robot and Artificial Intelligence Competition, Second Level (November, 2018)
• Zhengzhou University College of Information Engineering Annual Outstanding Student, Second Level (September, 2017)