Fengfu Li
Machine Learning Engineer at University of Chinese Academy of Sciences
Hangzhou City, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolFengfu Li is a Machine Learning Engineer with 10 years of experience blending advanced research and telecom-grade engineering, including a senior engineering role at Huawei. He holds a PhD from the University of Chinese Academy of Sciences focused on deep network compression, clustering, and computer vision, and began with a strong mathematical foundation from USTC. Fengfu is proficient in Java, C++, data analysis and graph-based methods, and applies those skills to make ML models both compact and production-ready. Based in Hangzhou, he bridges academic rigor and industrial constraints, often turning theoretical compression techniques into deployable solutions for large-scale systems. A detail that stands out is his sustained focus on deep network compression—an area that reduces model size without sacrificing accuracy—making him especially valuable for resource-constrained deployments.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Computer Vision, Robotics, Clustering, Deep Learning, Deep Network Compression, Doctor of Philosophy - PhD, Machine Learning, Computer Vision, Robotics, Clustering, Deep Learning, Deep Network Compression at University of Chinese Academy of SciencesBachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Science and Technology of China
Github Skills (10)
feature-extraction8
efficientnet7
imagenet6
pytorch4
caffe3
supervised-learning2
weakly-supervised-learning2
machine-learning2
computer-vision1
deep-learning1
Programming languages (1)
Github contributions (5)
fengfu-chris/caffe-twns
May 2016 - Nov 2016
Contributions:18 commits, 16 pushes, 1 branch in 6 months
fengfu-chris/caffe-memory-optimization
May 2016 - Mar 2017
Contributions:9 commits, 1 PR, 8 pushes in 9 months
caffememoryoptimizations
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