Chen Wei
Lecturer at Xi'an University of Posts and Telecommunications
Xi'an, Shaanxi, China
Summary
👤
Senior🎓
Top SchoolChen Wei is a lecturer and deep learning engineer based in Xi'an with 10 years of experience applying computer vision and reinforcement learning to practical systems. He holds a PhD in Pattern Recognition with a focus on Neural Architecture Search and has built dynamic face detection and recognition solutions while contributing ResNet-based implementations and ArcFace/CosineFace losses to the InsightFace TensorFlow ecosystem. Equally comfortable in research and hands-on engineering, he completed Udacity's Deep Reinforcement Learning Nanodegree and implemented value- and policy-based agents that solve tasks like banana collection and object manipulation. He combines academic mentorship with open-source contributions to bridge novel architectures and deployable AI features, and often explores model-level optimizations uncommon in teaching roles. Passionate about turning learning into products, he seeks to blend education and engineering to deliver impactful AI systems.
10 years of coding experience
Doctor of Philosophy - PhD, Pattern Recognition; Neural Architecture Search, Doctor of Philosophy - PhD, Pattern Recognition; Neural Architecture Search at Xidian UniversityDeep Reinforcement Learning Nanodegree, Deep Reinforcement Learning Nanodegree at Udacity
Stackoverflow
153reputation
11kreached
0answers
9questions
Github Skills (11)
machine-learning10
tensorflow10
resnet10
python10
deep-learning8
computer-vision8
object-detection6
object-detection-api6
tensorflow-datasets6
gradient6
classification6
Programming languages (9)
Github contributions (5)
auroua/InsightFace_TF
Mar 2018 - May 2018
Insight Face on TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:40 commits, 36 pushes, 1 branch in 2 months
Contributions summary:Chen contributed code for implementing ResNet-based models within a TensorFlow environment. Their primary focus was on defining and integrating various ResNet blocks, including those with SE and ResNeXt architectures, and integrating pre-existing ResNet blocks into the project. The commits also include the implementation of loss functions such as ArcFace and CosineFace.
facetensorflow
auroua/aurora_detection
Oct 2015 - Jan 2016
Contributions:48 commits, 39 pushes, 1 branch in 2 months
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