bin wu
副研究员 at 郑州大学
Zhengzhou, Henan, China
Summary
🤩
Rockstar🎓
Top Schoolbin wu is an associate researcher and PhD in computer science at Zhengzhou University with 11 years of experience in software engineering and machine learning. He focuses on backend development and recommender systems, contributing models and core functionality to the open-source Next RecSys Library, including a Neural Personalized Embedding implementation. Based in Zhengzhou, he blends academic rigor with practical system-building, iterating on dataset handling and model training pipelines. His work shows a hands-on approach to improving reproducibility and extensibility in research codebases. Colleagues can reach him via WeChat (wubinzzu), reflecting a preference for direct technical collaboration.
11 years of coding experience
博士, 计算机科学, 博士, 计算机科学 at zzu
Github Skills (7)
tensorflow10
recommender-system10
python9
neural-network9
deep-learning9
collaborative-filtering8
machine-learning8
Programming languages (2)
Github contributions (5)
wubinzzu/NeuRec
Mar 2019 - Nov 2021
Next RecSys Library
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 release, 145 commits, 2 PRs in 2 years 8 months
Contributions summary:Bin primarily contributed to the core functionality and model aspects of the Next RecSys Library. The commits show modifications to the main program, including the dataset configuration and model training process. They also added a new model, Neural Personalized Embedding for Collaborative Filtering (NPE.py), demonstrating an understanding of recommendation algorithms and model implementation. Further commits show changes in file and data handling, suggesting ongoing work to adjust and refine key functionalities.
adversarial-learningautoencodersocial-networkpythondeep-learning
wubinzzu/wubinzzu.github.io
Feb 2023 - Jun 2026
Contributions:104 pushes, 1 branch in 3 years 4 months
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