Yang Xudong is a telecommunications solution leader with nine years of field experience driving mobile broadband growth and monetization strategies across African markets as Huawei Solution VP in Nigeria. He combines hands-on wireless engineering (from 3G/HSPA to LTE rollouts) with commercial leadership in solution sales, marketing, and business/network consulting to help operators raise ARPU and maximize network value. His background spans end-to-end telecom domains—radio, core, transmission, billing and applications—grounded in industrial engineering training from Zhejiang and Tianjin Universities. Less obvious: he also contributes to machine learning recommendation work (DropoutNet) in the open-source EasyRec project, reflecting a practical interest in data-driven product enhancements and personalized services.
9 years of coding experience
10 years of employment as a software developer
Bachelor, Industrial Engineering, Bachelor, Industrial Engineering at Tianjin University
master, Industrial Engineering, master, Industrial Engineering at Zhejiang University
A framework for large scale recommendation algorithms.
Role in this project:
ML Engineer
Contributions:71 reviews, 35 commits, 126 PRs in 11 months
Contributions summary:Yang's commits primarily involve adding and modifying code for the `DropoutNet` model, a cold start and collaborative metric learning model within the EasyRec framework. Contributions include implementing the model architecture, adding features such as pairwise loss and support vector guided softmax loss, and integrating text CNN features. The user also made changes to documentation and code style, indicating a focus on model development and refinement within the recommendation algorithms domain.
Contributions:5 commits, 98 pushes, 1 branch in 1 year 6 months
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