Education
Wuhan University
Time span: September 2015 - June 2019
Degree: Bachelor of Engineering
Major: Computer Science
GPA: 88/100(3.63/4.0)
Awards: Outstanding Student Cadre (Top5%) (2016-2018); National Excellent Student Scholarship (Top10%) (2016-2018); Honorable Mention of COMAP’s Mathematical Contest in Modeling (2017)
University of California, Berkeley
Time span: December 2017 - May 2018
Program: Globe Exchange Program
Major: Computer Science & Economics
GPA: 3.5/4.0
Courses: Introduction to Artificial Intelligence; Principles & Techniques of Data Science; Introduction to Economics; Idiomatic English and Oral communication Skills for ESL
Rice University
Time span: Aug. 2019 - Feb. 2021
Degree: Master
Major: Computer Science
To bo continued
Experience
Wuhan GEETEST Network Technology Co., Ltd. (Dec. 2018 - Jul. 2019)
Machine learning and data analysis Intern, Department of Data Security
- Cooperating with colleagues, implemented several captcha rules, including black IP discrimination and Track discrimination etc. which can be used for effective human-machine identification
- Analyzed the accuracy and authenticity of web captcha data using Pyspark and Hadoop
- Wrote data analysis reports for customers, including pattern analysis of abnormal data and corresponding processing recommendations
A Fast semi-Supervised State Key Laboratory of Software Engineering, Wuhan University (Feb. 2018 - Oct.2018)
Research Assistant, State Key Laboratory of Software Engineering, Wuhan University
- Proposed a fast similarity measure for time series, which could reduce the average running time of the clustering by about 30% without affecting the accuracy
- Introduced a semi-supervised learning method called Side-information Generation Strategy (SGS), which could further improve the clustering result by 5%, with only a small amount of manually picked side-information (Less than 10% of the total data set)
- Completed the experiments and the paper, which has been published on IEEE Transactions on Systems, Man, and Cybernetics: Systems.
Qingzhi-Unmanned Restaurant Payment System (Sep. 2016 - Jun. 2017)
University-level Entrepreneurial Project, Wuhan University
- • Developed the image recognition function, which is based on CNN (Convolutional Neural Network)
- Completed the data collection and the preliminary development of the system, which was more than 95% accurate in identifying everyday dishes
- Won the second prize in the Third “Internet plus” Innovation and Entrepreneurship Competition (Wuhan University Division, China)
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Some memorable things in my life
(Click the picture!)
I often studied until very late in the library when I was in UCB, this is a picture of the Berkeley subway at midnight. (2018.2)
×Skills
• Programming: Python, MATLAB, C, Java, HTML, JavaScript
• Software: SPSS, Excel, Oracle, MySQL
• Language: Mandarin Chinese (Native), English (TOEFL 109)
• Leadership: Team Leader of the College Debate Team, President of the Student Union & Class Monitor, Captain of a campus band