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Qingzhi Ma

About Me

I am a Ph.D. student studying at the Department of Computer Science, and my supervisor is Prof Peter Triantafillou. I hold two master degrees from Imperial College London and the University of Glasgow. My undergraduate study was taken at Xi'an Jiaotong University China. Besides, I have some work experience at China Nuclear Power Engineering Co., Ltd.

Research

My current research is focused on model prediction and machine learning. Several regression models are combined to create a new ensemble model called QReg. To be more specific, we have built a classifier reflecting the prediction abilities of base models in the query space, and use this classifier to aid model selection. It achieves better accuracy than the state-of-art XGboost regression. Furthermore, I am applying QReg to Approximate Query Processing (AQP), to see if regression models could help aid aggregate functions like COUNT, AVG, SUM, etc, in RDBMS.

Teaching

In 2017/18 I was involved with CS346 Advanced Databases.

In 2018/19 I am the tutors for CS258 Database Systems and CS346 Advanced Databases.

Publication:

Selected as one of the best papers and invited for journal submission.
  • Q.Ma, A.M. Shanghooshabad, etc. Learned Approximate Query Processing: Make it Light, Accurate and Fast. In 11th Annual Conference on Innovative Data Systems Research (CIDR 2021).

Awards:

Student Travel Award, ACM SIGMOD 2019
personal image

Qingzhi Ma

Q dot Ma dot 2[at]warwick dot ac dot uk

Room CS3.33

Deparment of Computer Science
University of Warwick
Coventry, UK, CV4 7AL