Xiao Wang
Associate Professor
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolXiao Wang is an associate professor and computational mathematician with a PhD from the Chinese Academy of Sciences and nine years of professional experience blending research, teaching, and applied machine learning. Based at the University of Chinese Academy of Sciences and currently located in the UK, Xiao teaches computational methods for optimization and numerical analysis while maintaining an active research agenda in computational and applied mathematics. He has rich international exposure from multiple visiting scholar stints at institutions including LSU, Peking University, and the Chinese University of Hong Kong. Beyond academia, he contributes to real-world ML engineering—working on PaddlePaddle models to add new architectures, fix bugs, and improve data-processing pipelines, revealing a practical bent for production-ready code. This combination of deep mathematical training and hands-on ML contributions positions him to bridge theoretical methods and scalable implementation. Colleagues describe him as quietly productive and pragmatic, often improving codebases and documentation in ways that accelerate team progress.
9 years of coding experience
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Chinese Academy of SciencesBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Shandong University
Github Skills (10)
paddlepaddle10
machine-learning10
deep-learning10
python10
modeling9
neural-network9
nlp8
data-processing8
tensorflow6
computer-vision5
Programming languages (2)
Github contributions (5)
PaddlePaddle/models
Dec 2019 - Mar 2020
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 10 PRs, 1 comment in 3 months
Contributions summary:Xiao primarily contributed to the development and maintenance of machine learning models within the PaddlePaddle framework. Their work included adding new models, such as similarity_net, and fixing bugs within existing implementations. They also updated documentation and improved the codebase's integration with PaddlePaddle's dygraph features. Furthermore, they addressed text encoding issues in data processing scripts, indicating involvement in data preparation and model training pipelines.
nlpdeep-learningpaddlepaddlerecommendationcomputer-vision
wangxiao1021/PALM
Nov 2019 - Apr 2020
Paddle for Multi-task
Contributions:407 pushes, 29 branches in 5 months
multi-taskpythonbackbonepaddlepaddlemachine-learning
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