Guangzhu Wu is a CTO with 12 years in software engineering, combining deep hands-on C/C++ expertise (over 10 years and ~300K lines of code) with 4 years of management and 3 years as a software architect. He holds a PhD in Signal and Information Processing from the Chinese Academy of Sciences and brings strong domain knowledge in peer-to-peer multimedia streaming, high-efficiency network programming, and host security technologies like VS, FM, and HIPS. At Sina Digital Technology since 2018 he steers R&D and product engineering while maintaining a rapid development mindset and fluency in design patterns. He also contributes to open-source ML tooling, improving adversarial attack methods in the widely used PaddlePaddle/models repo, reflecting an interest in model robustness and security beyond core systems work.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Role in this project:
ML Engineer
Contributions:28 commits, 9 PRs, 4 pushes in 1 month
Contributions summary:Guangzhu primarily focused on adding and improving adversarial attack methods within the PaddlePaddle models repository. Their contributions include implementing targeted attack techniques and incorporating various norm options for gradient-based attacks. They also introduced the DeepFool attack and fixed related bugs, demonstrating a focus on enhancing the robustness and security of machine learning models within the PaddlePaddle ecosystem.
Contributions:8 commits, 8 pushes, 1 branch in 5 years 10 months
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