Yuanyuan Li
Engineer at Intel Corporation
California, United States
Summary
👤
Senior🎓
Top SchoolYuanyuan Li is an engineer with a decade of experience and more than six years focused on thin film active and semiconductor devices for electronic applications, currently contributing at Intel in California. She combines deep device-physics expertise with hands-on skills across device/process design, fabrication, characterization, and testing, and has designed custom process equipment such as plasma-enhanced ALD systems. Her Ph.D. work at Penn State produced over thirty publications, reflecting a strong research-to-development track record. More recently she has extended her toolkit toward machine learning and computer vision topics including human pose estimation and CNNs, signaling a versatile blend of hardware and algorithmic competencies. Colleagues value her for driving exploratory device development from concepts to completion and for bridging rigorous academic research with practical industrial engineering.
10 years of coding experience
Ph.D in Electrical Engineering, Ph.D in Electrical Engineering at Penn State University
Github Skills (74)
pose10
face10
high-resolution-net10
arxiv10
keras-models9
caffe9
model-compression9
computer-vision9
high-resolution9
human-pose-estimation9
representations9
machine-vision9
prediction9
openpose9
pose-estimation9
Programming languages (5)
Github contributions (5)
yuanyuanli85/FashionAI_KeyPoint_Detection_Challenge_Keras
May 2018 - Dec 2018
Contributions:13 commits, 12 pushes, 9 comments in 6 months
yuanyuanli85/Keras-Multiple-Process-Prediction
Jun 2017 - Aug 2018
A Simply Example to show how to use Keras model in multiple processes to do the prediction
Contributions:2 commits, 1 PR, 3 pushes in 1 year 2 months
predictionkeras-modelskeras-modeldeep-learningto-do
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