Mingyi Zhou
Assistant Professor at Beihang University
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolMingyi Zhou is an Assistant Professor and former Monash PhD candidate with eight years' experience at the intersection of software engineering and AI, specializing in AI software, Responsible AI, and on-device model optimization. He has combined academic research with practical internships at Philips and MEGVII on medical and responsible AI projects, and has taught and developed curriculum for multiple computing and engineering courses. Now based at Beihang University, Mingyi brings hands-on research into deployable solutions for constrained devices and a focus on ethical, trustworthy AI systems. His background in electrical engineering and machine learning gives him a rare cross-disciplinary fluency that informs both his research and teaching.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Machine learning, Master's degree, Machine learning at University of Electronic Science and Technology of ChinaBachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Wuhan University of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Monash University
English, Chinese
Github Skills (23)
generative-adversarial-network10
python9
machine-learning9
gpu9
deep-learning9
numpy8
neural-network8
tensor7
pytorch7
deconvolution7
acceleration7
tensorflow7
gpu-acceleration7
mri6
autograd6
Programming languages (3)
Github contributions (5)
zhoumingyi/DaST
Mar 2020 - Aug 2022
A novel data-free model stealing method based on GAN
Contributions:42 commits, 1 PR, 38 pushes in 2 years 5 months
pytorchdeep-learningmethodgenerative-adversarial-networkgan
zhoumingyi/zhoumingyi.github.io
Nov 2023 - Mar 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:119 pushes in 3 months
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