About me

I love hard problems. I love what challenge the conventions and myself. I love data and algorithms. I spend time building algorithms that children can understand. I spend time building data systems that handle large scale data. I spend time making a lot of mistakes.

Biography

Qing Chen is a first year PhD student at Department of Informatics (Department of Computer Science) at University of Zurich. I'm supervised by Prof. Michael Böhlen and Dr. Sven Helmer. Before that Qing worked in PayPal in Shanghai, Qatar Computing Research Institute and DELL EMC in Shanghai. He received M.E degree in computer science from Fudan University in 2016 advised by Prof. Zijing Tan and Prof. Chaofeng Sha, and B.E. degree in computer science from Zhengzhou University in 2013. (CV, Google Scholar)

Research Interests

I am interested in data management and machine learning.

Links on research: "you and your research" Richard Hamming , "Systems Software Research is Irrelevant" Rob Pike

Advices for PhD students: "Instructions for PhD Students" Dimitris Papadias

Publications

2016

Graph stream summarization: From big bang to big crunch
Nan Tang, Qing Chen, and Prasenjit Mitra
Proceedings of the 2016 International Conference on Management of Data (SIGMOD), 2016.
arXiv, PDF, Bibtex
Repair diversification: A new approach for data repairing
Chu He, Zing Tan, Qing Chen, and Chaofeng Sha
Information Sciences, 2016.
Bibtex

2015

Repairing functional dependency violations in distributed data
Qing Chen, Zijing Tan, Chu He, Chaofeng Sha, and Wei Wang
International Conference on Database Systems for Advanced Applications(DASFAA), 2015.
PDF, Bibtex
2014

Repair diversification for functional dependency violations
Chu He, Zijing Tan, Qing Chen, Zhihui Wang, Chaofeng Sha, and Wei Wang
International Conference on Database Systems for Advanced Applications(DASFAA), 2014. (Best Paper Candidate)
PDF, Bibtex