Jun Xu
Professor at Renmin University of China
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolJun Xu is a professor of information science at Renmin University of China with nine years of post-PhD academic experience and a long research track across industry and academia. His work bridges learning-to-rank, semantic matching, reinforcement learning, and large-scale machine learning, developed during stints at Microsoft, Huawei, and the Chinese Academy of Sciences. He has deep practical experience in recommendation, topic modeling, matrix factorization and user modeling, translating core IR and ML research into scalable systems. Known for algorithmic contributions such as IRSVM and AdaRank-related work, he combines rigorous academic training from Nankai University with industry-scale engineering. Based in Beijing, he continues to lead research that connects theoretical advances to real-world search and recommendation applications.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Nankai University
Chinese, English
Github Skills (6)
machine-learning10
machine-learning-algorithms10
big-data-analytics10
dataflow10
python10
data-science9
Programming languages (1)
Github contributions (5)
ICT-BDA/EasyML
Apr 2017 - Mar 2019
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
Contributions:18 commits, 63 pushes, 1 branch in 1 year 11 months
machine-learning-platformpythonlearning-platformdata-sciencemachine-learning-algorithms
nkxujun/RUC-Data-Science-Course
Feb 2020 - Feb 2020
Contributions:7 commits, 6 pushes, 1 branch in 1 day
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