周增辉 zhouzenghui

周增辉 zhouzenghui

Beihang University

Research Projects

  • Algorithm Lead Automated Test Generation for Safety-Critical Embedded Software (2020 - 2023)

    As the algorithm lead for this high-reliability software project, I utilized State Charts to model intricate system behaviors. I developed Search-based Algorithms to automatically identify test paths and generate test cases, effectively replacing inefficient manual testing processes with high-coverage automation.

  • Core Researcher Reliability Simulation Platform for Distributed Network Systems (2021 - 2023)

    I developed a comprehensive simulation platform designed to assess the reliability of large-scale, complex networks. By applying Markov Chains to model system states, I enabled the calculation of failure risks and achieved real-time reliability prediction under dynamic network conditions.

  • Core Researcher Automated Testing for Deep Learning Object Detection Systems (2019 - 2022)

    I built an automated testing framework tailored for deep learning models like YOLO. This project addressed the Oracle Problem by leveraging Metamorphic Testing, using custom image transformation operators to evaluate model accuracy and robustness without the need for manual data annotation.

  • Open Source Response Letter LaTeX Template (2024 - Present)

    To assist the research community, I created and maintain a structured LaTeX Template for drafting response letters during the peer-review process. It features a clean design that helps authors organize point-to-point rebuttals to reviewers in a professional and aesthetic manner.