Xinyi Xie's Homepage

Xinyi Xie 谢馨仪 Undergraduate Student (graduating in 2023). College of Information and Electrical Engineering, China Agricultural University China. Email: xinyixie01@gmail.com Github  LinkedIn Here is my CV.

Biography

I am a senior undergraduate student at China Agricultural University.

Education

• China Agricultural University (CAU)
  Beijing, China
  Sept.2019-Jun.2023
  
  BS in Computer Science and Technology, College of Information and Electrical Engineering.
  Overall GPA: 3.74/4.00 (5 semesters)
  

Experience

Research Experience

• UCInspire Research Program, Dept. Of Electrical Engineering and Computer Science, UC, Irvine
  Remote
  June. 2022 - Current
  
  

  Research Intern
  Advisor: Prof. Zhiying Wang
  Topic: Age-Based Multi-Center Scheduling Policy for Federated Learning over Wireless Communications
  Content: in progress

• Innovation and Entrepreneurship Training Program for College Students, CAU
  Beijing, China
  Dec. 2021 - Current
  
  

  Team Member
  Advisor: Prof. Qingling Duan
  Topic: Research on Mass Estimation Method of Fish Based on Binocular Vision
  Content:

  • Aimed to build a fish mass estimation model using binocular vision and machine learning technology to realize non-invasive, fast, and convenient estimation, which could support digital management of aquaculture production;

  • Planned to complete the sub-tasks of image acquisition and pre-processing, binocular stereo vision ranging, fish feature extraction, and fish prediction model establishment by using image segmentation algorithms and building neural network models, etc;

  • Responsible for data acquisition, cleaning and feature extraction using OpenCV library.

• Undergraduate Research Program (URP), CAU
  Beijing, China
  April. 2021-April. 2022
  
  

  Team Member
  Advisor: Prof. Zhenbo Li
  Topic: Tile Ripple Type Defect Identification and Detection System based on the YOLO v3 Object Detection Algorithm
  Content:

  • Aimed to develop an inspection system for detecting tile defects to obtain higher detection accuracy with less manpower investment;

  • Completed the requirement analysis of the system and the design of each functional module, classifying the damaged ceramic tiles using deep learning methods, designing user interaction interfaces, and embedding the completed YOLO v3 algorithm into the website;

  • Designed and implemented the front-end development of the system website using Python Flask, completed a literature review of research in areas related to object detection.

Awards and Honors

• Merit Student, China Agricultural University 2020-2021

• Academic Second-class Scholarship 2020-2021

• First Prize of Beijing in the Contemporary Undergraduate Mathematical Contest in Modeling Oct.2021

• National Third Prize of English Competition for College Students May.2021

• Academic Third-class Scholarship 2019-2020