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zhouzhengqd/README.md

Hi there! 👋

GitHub Stats Card

I’m Zheng Zhou (Dylan), currently pursuing a Ph.D. in Electronic Engineering at Beihang University (BUAA).

My research focuses on improving the sustainability, reliability, and efficiency of machine learning through two main areas:

  • Robustness: Enhancing model resilience against adversarial examples and security threats.
  • Efficiency: Optimizing learning efficiency with techniques like dataset distillation.

You can find my Personal Homepage and Curriculum Vitae (CV).

🔬 Tech && Tools Preference

skillicons

📅 Contribution Graph

github-snake

🚀 Projects

1. BACON: Bayesian Optimization for Convergence in Neural Training

  • Project Page | Paper | Code

    BACON is a Bayesian optimization-based framework that enhances dataset distillation by providing a solid theoretical foundation, improving performance, efficiency, and reducing computational costs.

    GitHub stars  GitHub forks  Contributors  Issues  Pull Requests

2. BEARD: Benchmark for Evaluating Adversarial Robustness in Dataset Distillation

  • Project Page ｜ Paper ｜ Code

    BEARD is a unified benchmark for evaluating the adversarial robustness of dataset distillation methods, offering key metrics like Robustness Ratio (RR), Attack Efficiency Ratio (AE), and Comprehensive Robustness-Efficiency Index (CREI) across multiple adversarial attacks and datasets.

    GitHub stars  GitHub forks  Contributors  Issues  Pull Requests

📖 Education

  • 2023.09 - Present: Ph.D. in Electronic Engineering, Beihang University (BUAA), Beijing, China
    Advisors: Prof. Qi Zhao & Prof. Wenquan Feng.

💻 Work Experience

  • 2018.10 - 2023.06: Embedded Software Engineer, Haier Group Corporation, Open Innovation Platform & GE Appliance Development Division, China.

📫 How to reach me:

Popular repositories Loading

  1. BACON BACON Public

    Python 5

  2. BEARD BEARD Public

    BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation

    Python 5 1

  3. AdvandLoss AdvandLoss Public

    Paper code: Adversarial Examples Are Exactly Bugs, They Are Relevant to The Loss Function

    Python 2 1

  4. zhouzhengqd.github.io zhouzhengqd.github.io Public

    Forked from RayeRen/acad-homepage.github.io

    AcadHomepage: A Modern and Responsive Academic Personal Homepage

    SCSS 1

  5. webpage-template webpage-template Public

    Forked from richzhang/webpage-template

    Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.

    HTML

  6. Awesome-Dataset-Distillation Awesome-Dataset-Distillation Public

    Forked from Guang000/Awesome-Dataset-Distillation

    Awesome Dataset Distillation Papers

    HTML