Haibing Wu
高级研发工程师 at 百度
Yangpu District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolHaibing Wu is a senior R&D engineer with 12 years of experience focused on recommendation algorithms, computational advertising, machine learning, and data mining. Based in Yangpu District, Shanghai, he has been building relevance models, ad serving strategies and CTR/CPM prediction systems at Baidu since 2016, working on the Phoenix ad platform and display recommendation stack. With a strong academic foundation from Tongji University and a master’s in Electronic Science and Technology from Fudan, he bridges signal-processing rigor with large-scale product engineering. Colleagues rely on him for optimizing ad trigger strategies and turning complex user-ad interaction data into robust, production-ready models. Notably, his background in electronics gives him a unique perspective on feature engineering and system-level trade-offs in latency-sensitive ad systems.
12 years of coding experience
学士, Electrical, Electronics and Communications Engineering, 学士, Electrical, Electronics and Communications Engineering at Tongji University硕士, 电子科学与技术, 硕士, 电子科学与技术 at 复旦大学
English, Chinese
Github Skills (12)
machine-learning8
paddlepaddle8
python8
scalability8
industrial7
reinforcement-learning7
pytorch7
parallel7
deep-learning7
distributed-training7
neural-network6
tensorflow6
Programming languages (1)
Github contributions (5)
wuhabi/3layer-neunet
May 2014 - Jun 2016
Contributions:5 commits, 3 pushes in 2 years 1 month
wuhabi/dnn
Nov 2014 - Jun 2016
Contributions:6 commits, 4 pushes in 1 year 6 months
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