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Yanlin Qi

Harbin Institute of Technology Shenzhen 理學院數(shù)學系

數(shù)據(jù)挖掘

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我在大連海事大學獲得理學學士學位,主修統(tǒng)計學。平均績點:4.29/5。然后我獲得了保研資格,最終到哈爾濱工業(yè)大學深圳校區(qū)攻讀數(shù)學專業(yè)碩士?,F(xiàn)為哈爾濱工業(yè)大學(深圳)數(shù)學系的一名碩士生,師從陳國廷教授、甘文生教授。同時也在今年有幸去到香港交流,并與香港城市大學的宋林琦教授合作。現(xiàn)在我正在尋找數(shù)據(jù)挖掘和機器學習相關的博士職位。

我的研究興趣是數(shù)據(jù)挖掘和機器學習。我更專注于數(shù)據(jù)挖掘,大數(shù)據(jù)分析,重點是建模新問題,并為大規(guī)模,現(xiàn)實世界的應用提出可擴展的算法,包括但不限于:封閉模式挖掘,高效用模式挖掘,流數(shù)據(jù)挖掘。

I received my Bachelor of Science degree from Dalian Maritime University, majoring in statistics. GPA: 4.29/5. Then I got the qualification of graduate school and I was recommended to Harbin Institute of Technology in Shenzhen. Now I am a senior Master student at Harbin Institute of Technology, Shenzhen, working with Prof. Guoting Chen and Wensheng Gan. 
It also has been my great honor and big pleasure to work with Prof. Linqi Song at City University of Hong Kong. Now I am looking for a phd position.

My research interest is Data Mining and Machine learning. I am more generally focus on data mining, big data analysis, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications, including but not limited to: closed pattern mining, utility mining , stream data mining. 
? Skills: Strong programming ability: Java, Python, Matlab, R, SPSS, C++; Strong mathematical ability. 
? Languages: Chinese (native), English (fluent)    

Github: https://github.com/amy-77

Linkedin: https://www.linkedin.com/in/qi-yanlin-456177268/

Email: 18342299417@163.com, 21s058010@stu.hit.edu.cn

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