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 (47)
face10
high-resolution-net10
caffe10
pose10
keypoint10
human-pose-estimation10
keras10
pose-estimation10
representation-learning9
openpose9
model-compression9
opencv9
motion-capture9
cpp9
computer-vision9
Programming languages (5)
Github contributions (5)
yuanyuanli85/Fast_Human_Pose_Estimation_Pytorch
Jan 2019 - Dec 2019
Pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
Contributions:14 commits, 3 PRs, 12 pushes in 11 months
human-pose-estimationpytorchknowledge-distillationstacked-hourglass-networkspose-estimation
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
kerasgpu
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