Wenbo Bao
Machine Learning Engineer at Apple
Minhang District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolWenbo Bao is a Machine Learning Engineer with a decade of experience applying deep learning to video and image processing problems, currently contributing at Apple in Shanghai. He holds a PhD in Information and Communication Engineering from Shanghai Jiao Tong University and was a visiting scholar in computer vision and deep learning at UC Merced, blending strong research training with production-focused engineering. Wenbo is proficient across major ML frameworks (PyTorch, TensorFlow, Keras, Caffe, Lua/Torch) and couples that with low-level expertise in CUDA/OpenCL and hardware description languages (Verilog/VHDL), enabling end-to-end optimization from model design to accelerated deployment. His domain work spans video frame rate up-conversion, super-resolution, optical flow, depth estimation, and denoising—areas where algorithmic insight and performant implementation both matter. A less obvious strength is his comfort crossing the hardware–software boundary, making him effective at squeezing real-time performance out of complex vision models.
10 years of coding experience
工学学士, 电子信息工程, 工学学士, 电子信息工程 at Huazhong University of Science and TechnologyVisiting Scholar, Computer Vision, Deep Learning, Visiting Scholar, Computer Vision, Deep Learning at University of California, Merced博士, 信息与通信工程, 博士, 信息与通信工程 at Shanghai Jiao Tong University
English, Chinese
Github Skills (50)
progress-hud10
hud10
ios9
gif9
svprogresshud9
tvos9
swift9
plist8
create-react-native-app8
libimobiledevice8
theos8
objective-c8
cydia8
axios7
react-native-web7
Programming languages (6)
Github contributions (5)
wenbobao/CodeDemo
Dec 2015 - Nov 2018
Contributions:1 release, 25 pushes, 2 branches in 2 years 11 months
wenbobao/easytdj
Mar 2019 - Jul 2020
Contributions:26 commits, 36 pushes, 1 branch in 1 year 5 months
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