I am a third year Ph.D. Student in Computer Science at Georgia Tech. I am currently being adivised by Prof. Xu Chu. I finished my M.S. degree in Computer Science at Georgia Tech. Prior to joining Georgia Tech, I graduated with a M.S. degree in Civil Engineering from Stanford University and a B.Eng. degree in Civil Engineering from Tongji Unviersity.
My research interests include: Machine Learning, Data Management, Data Cleaning, Data Integration, Entity Resolution
- Dec 2021: Our paper "A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions" got accepted to ICDE 2022!
- Jun 2021: A demo paper, Panda got accepted to VLDB Demo 2021!
- Dec 2020: A paper, AutoFJ got accepted to SIGMOD 2021!
- Nov 2020: A paper, CPClean got accepted to VLDB 2021!
- Oct 2020: A paper, CleanML got accepted to ICDE 2021!
- Aug 2019: I started as a Phd student in Computer Science at Georgia Tech.
Education
M.S. and Ph.D. in Computer Science
Advisor: Prof. Xu Chu
GPA: 4.0 / 4.0
M.S. in Civil Engineering
GPA: 4.07 / 4.0
B.Eng. in Civil Engineering
GPA: 4.86 / 5.0
Ranking: 1 / 559
Experience
- Lead the research on data cleaning for machine learning.
- Conduct research on machine learning for data integration.
- Work as a TA for Software Development Process.
- Grade assignments and exams.
- Worked as the head TA for Introduction to Database Systems.
- Designed assignments, led discussion sections, graded assignments and exams.
Publications
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A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary DistributionsICDE 2022
Awards
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Second Prize in SIGMOD Programming Contest, 2021
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Best Seismic Noise Detection Prize in Stanford Big Earth Hackathon Competition, 2018
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Outstanding Undergraduate Graduation Project, Tongji University, 2015
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China National Scholarship, 2013
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First Prize Academic Scholarship, Tongji University, 2012, 2013
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Third Prize in Shanghai College Students Math Contest, 2012