Haojie Ye
Hardware Engineer at 温州长江汽车电子有限公司
Wenzhou, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolHaojie Ye is a hardware engineer with eight years’ experience in circuit design, PCB layout and EMC engineering, based in Wenzhou, China. Since 2015 he has driven ECC product development (SGM K256 and GM GEM) for global supply chains and currently leads production integration for Chery Jaguar Land Rover. He combines strong technical communication with hands-on design work, routinely bridging R&D and manufacturing to deliver automotive-grade electronics. Unusually for a hardware specialist, he has contributed to open-source adversarial ML tooling by improving Keras wrappers and attack implementations in the well-known cleverhans project, reflecting a broad curiosity across hardware and software domains.
8 years of coding experience
工学士, 电子信息工程, 工学士, 电子信息工程 at 杭州电子科技大学
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
keras10
machine-learning10
adversarial-attacks10
tensorflow10
python10
security9
benchmarking6
benchmark6
Programming languages (5)
Github contributions (5)
cleverhans-lab/cleverhans
Mar 2019 - Apr 2019
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 2 PRs, 9 comments in 1 month
Contributions summary:Haojie primarily contributed to the `cleverhans-lab/cleverhans` repository by modifying the Keras wrapper and implementing and improving attacks. Their work involved adapting the Keras model wrapper to handle combined and stacked models. Additionally, the user fixed a bug in the untargeted LBFGS attack and implemented support for untargeted attacks by maximizing the true label loss, demonstrating experience in adversarial example generation. The user also refactored code to adhere to PEP8 standards.
benchmarkingrobustnessadversarial-machine-learningsecurityadversarial
HaojieYuan/autoAdv
Jun 2020 - Oct 2021
Contributions:2 releases, 116 commits, 2 PRs in 1 year 4 months
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