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Mrs. Xinyu Liang | Object Recognition | Best Researcher Award 

Mrs. Xinyu Liang, Guangxi University, China

Liang Xinyu, born in January 2000, is an accomplished network engineering graduate from Anhui University. As an ethnic Zhuang and a member of the Communist Party of China, Liang has demonstrated excellence both academically and practically. She earned her Bachelor’s degree with a GPA of 3.38, placing her in the top 30% of her class. Her internship at iFLYTEK Co., Ltd. as an Algorithm Engineer Intern involved developing multi-language voice assistant tools for smart cars, where she honed her skills in language analysis and data organization. Liang has led several significant projects, including a supermarket cashier management system, a movie recommendation system, and a tourist route planning system. Her accolades include being named an Outstanding Graduate, winning campus and departmental singing competitions, and receiving multiple scholarships. Liang is fluent in English, skilled in C, C++, and Python, and has strong organizational and artistic talents, excelling in music and sports.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

Bachelor’s Degree in Network Engineering, Anhui University (Graduated with a GPA of 3.38, ranking in the top 30% of her class).Proficient in computer science subjects, including Computer Networks, Software Engineering, Database Principles, Operating Systems, Data Structures, and Big Data Technologies.

Education:

  • Bachelor’s Degree in Network Engineering
    Anhui University, China
    September 2018 – July 2022

    • Major Courses: Computer Networks, Software Engineering, Database Principles, Operating Systems, Data Structures, Computer Principles, Big Data Science and Technology, Big Data Languages
    • GPA: 3.38 (Top 30% of class)

Work Experience:

  • Algorithm Engineer Intern
    iFLYTEK Co., Ltd., China
    February 2022 – May 2022

    • Developed multi-language voice assistant tools for smart cars
    • Analyzed language features and organized data to improve the efficiency of data analysis and processing
  • Project Involvements
    • Supermarket Cashier Management System
      • Developed during undergraduate studies
    • ItemCF-Based Movie Recommendation System
      • Independently developed during undergraduate studies
    • Tourist Route Planning System
      • Served as team leader for a college innovation and entrepreneurship competition project
    • Digital Sudoku Game
      • Contributed to the design and development during undergraduate studies

Publication top Notes:

AODs-CLYOLO: An Object Detection Method Integrating Fog Removal and Detection in Haze Environments

 

 

 

 

 

Mrs. Xinyu Liang | Object Recognition | Best Researcher Award

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