Bio
I am Zhou Qin, an algorithm engineer interested in graph neural networks, distributed systems, and functional programming. I graduated from Cornell University with a master’s degree in computer science in May 2018 and then joined Alibaba Group, working with the data and algorithms team in the security department. Before that, I achieved my bachelor’s degree (also major in computer science) in the South China University of Technology.
Personally, I’d like to do some in-depth research beneath a machine learning model (i.e., seeking mathematical explanations). As a member of the editorial board for the open-source project PumpkinBook, I am in charge of the content and quality from Chapter 8 to Chapter 16.
My work mainly focuses on applying graph neural network algorithms to identify risk commodities/buyers/sellers. We have published a paper introducing our experience in applying gnn algorithms for spam review detection on Xianyu scenario.
To deal with extremely large scale graph data in Alibaba, I also participate in implementing a large scale distributed graph neural network framework graph-learn, which is an open-source project on GitHub.
Check my Resume for more details, and feel free to contact me through csarchwalker
Publications
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Ao Li*, Zhou Qin*, Runshi Liu, Yiqun Yang, and Dong Li. Spam Review Detection with Graph Convolutional Networks [CIKM 2019, Best Applied Research Paper Award, *Equal Contribution]
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谢文睿，秦州 《机器学习公式详解》人民邮电出版社，2021-03-01，ISBN：9787115559104
Talks
- 20210716 央视网、新华社等媒体转发的高中毕业生就业人工智能专业选择指导。视频地址：关于人工智能专业选择和就业
- 20210417 关于一些我的工作和生活的视频。 视频地址：算法工程师的一天
- 20210416 由机器之心、人民邮电出版社和Datawhale主持的关于机器学习如何入门的讲座。 视频地址：机器学习如何入门