Zhuoqian Yang
Doctoral Assistant at EPFL
Switzerland
Summary
👤
Senior🎓
Top SchoolZhuoqian Yang is a PhD candidate and Doctoral Assistant at EPFL’s IVRL lab, specializing in computer vision and machine learning with eight years of research and engineering experience. Previously a research engineer at Shanghai AI Laboratory, he has worked under notable supervisors on applied vision projects and now pursues doctoral research with advisors Mathieu Salzmann and Sabine (surname omitted). Educated at Carnegie Mellon (MS in Computer Vision) and Beihang University (BE in Software Engineering), he blends rigorous academic training with hands-on system building. Based in Switzerland, he focuses on bridging cutting-edge research and practical implementations, often translating prototype ideas into production-ready components. An early-career researcher with industry experience, he brings a pragmatic approach to deep learning research and an interest in deploying robust vision systems beyond academic benchmarks.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Computer Software Engineering, Bachelor of Engineering - BE Computer Software Engineering at Beihang UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at EPFLMaster of Science - MS Computer Vision, Master of Science - MS Computer Vision at Carnegie Mellon University
Github Skills (27)
image-registration10
change-detection10
python8
neural-rendering7
tensorflow7
deep-learning7
hci6
neural-network6
generative6
siggraph6
pytorch6
computer-vision5
faster-rcnn5
mask5
machine-learning4
Programming languages (2)
Github contributions (5)
yzhq97/cnn-registration
Feb 2018 - May 2019
A image registration method using convolutional neural network features.
Contributions:13 commits, 1 PR, 45 pushes in 1 year 3 months
pythondeep-learningmethodconvolutional-neural-networkconvolutional
3dhumangan/3dhumangan.github.io
Sep 2022 - Oct 2023
Contributions:15 pushes, 1 branch in 1 year 1 month
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