Zhenhuan Wei

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Undergraduate
School of Software Engineering
Xidian University (XDU)
Github: weizhenhuan
Email: zhenhuan2002@163.com

About me

I am now an undergraduate in Xidian University, majoring in software engineering. I'm now learning Computer Vision, ML/DL Systems, CUDA programming and Deep Learning framework development.

Education

  • Xi'an Jiaotong University, Master in Software Engineering, Sep. 2023 - Now

  • Xidian University, Bachelor in Software Engineering, Sep. 2019 - June 2023

Research

My research interests include

  • Computer Vision

  • Machine Learning / Deep Learning Systems

  • High Performance Computation

Awards

  • Oct. 2022, The National Scholarship(top 0.7%)

  • May 2022, Robomaster University AI Challenge(RMUA), International Third Prize

  • Dec. 2021, The Chinese Mathematical Competitions(CMC), Second Prize

  • Aug. 2021, Robomaster University Series, First Prize in University League, Second Prize in University Championship

  • Oct. 2020, The Contemporary Undergraduate Mathematical Contest in Modeling(CUMCM), Provincial First Prize

Projects

  • MindCV Component Development [details]

    MindCV is an open-source toolbox for computer vision research and development based on MindSpore. It collects a series of classic and SoTA vision models, such as ResNet and SwinTransformer, along with their pre-trained weights and training strategies. SoTA methods such as auto augmentation are also provided for performance improvement.

  • In this project, I'm responsible for the development of EdgeNeXt. I rewrite the code using Mindspore, then train the model, and finally provide the model script, training recipe and training weights.

  • Robot Self-aiming System Based On OpenCV

    This project is a robot self-aiming system developed by me and my team during the preparation of Robomaster competition. Based on OpenCV visual library, this project realizes a system integrating target search, coordinate calculation, automatic aiming, target tracking and other functions by analyzing the images obtained by the camera carried by the robot.