Qizhen Zhang / (in Chinese)


Mar. 2019Selected as the 2019-20 Jonathan M. Smith Fellow
Nov. 2018Paper accepted by SIGMOD 2019
Aug. 2017Paper accepted by CIKM 2017
Jul. 2017Paper accepted by SoCC 2017
Aug. 2016Started PhD at University of Pennsylvania


I am a PhD student at Penn studying Computer Science advised by Prof. Boon Thau Loo and Prof. Vincent Liu. My research interests are distributed systems on big data problems. I also have interests in networking, cloud computing and machine learning. Before Penn, I worked with Prof. James Cheng at CUHK. I had graduate education at Tsinghua University in Computer Science, and undergraduate at Harbin Institute of Technology with first class honors.


  • University of Pennsylvania, Summer 2016 - Now
    Big data systems, datacenter networks and data management.
  • Microsoft Research, Redmond, Summer 2019
    Query optimization. [Data Management]
  • NEC Labs, America, Summer 2018
    Software behavior analysis based on provenance graphs. [Data Provenance]
  • Chinese University of Hong Kong, Summer 2015 - Summer 2016
    1. Modeling resource costs and performance of big graph processing systems. [Big Graph Analytics]
    2. Interactive querying on big graphs. [Big Graph Analytics, Distributed Systems]
  • Microsoft Research Asia (awarded as excellent intern), Winter 2014 - Summer 2015
    1. Cost allocation in cloud environment. [Cloud Computing]
    2. Resource allocation algorithms for Microsoft Azure. [Cloud Computing]
    3. Hacking Android to make its Camera module sharable by multiple applications. [Mobile Computing]


External Review

SIGMOD 2018, NSDI 2017, SoCC 2016, KDD 2016, DASFAA 2016



Optimizing Declarative Graph Queries at Large Scale
Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu and Boon Thau Loo
ACM International Conference on Management of Data, SIGMOD 2019. [To appear]

Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis
Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu and Boon Thau Loo
ACM International Conference on Information and Knowledge Management, CIKM 2017. [pdf]

Architectural Implications on the Performance and Cost of Graph Analytics Systems
Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham Bangalore
ACM Symposium on Cloud Computing, SoCC 2017. [pdf]

Quegel: A General-Purpose System for Querying Big Graphs
Qizhen Zhang, Da Yan, James Cheng
Proceedings of the 2016 International Conference on Management of Data, SIGMOD 2016, pp. 2189-2192.

A General-Purpose Query-Centric Framework for Querying Big Graphs
Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
Proceedings of the VLDB Endowment, PVLDB 2016, no. 7, 564-575.

A Shapley Value Approach for Cost Allocation in the Cloud
Qizhen Zhang, Haoran Wang, Yang Chen, Tao Qin, Ying Yan, Thomas Moscibroda
ACM Symposium on Cloud Computing, SoCC 2015, Poster.

PhoneProtector: Protecting User Privacy on the Android-Based Mobile Platform
Weizhe Zhang, Hui He, Qizhen Zhang, Tai-hoon Kim
International Journal of Distributed Sensor Networks, IJDSN 2014.

Awards & Honors


Jonathan M. Smith Fellow, Penn CIS, 2019-2020

Student Travel Award, ACM SIGMOD, 2019

NSDI Student Grant, USENIX, 2018

SIGIR Student Travel Grant, ACM SIGIR, 2017

CIKM Travel Award, NSF and SIGWEB, 2017

PhD Fellowship, University of Pennsylvania, 2016

MSRA Excellent Intern Award: Star of Tomorrow (the highest honor for interns), Microsoft Research Asia, 2014

Best Commercial Potential Award (US $30,000) for Maker Marathon, Beijing (1/17), Leiphone.com, 2013

Excellent Bachelor's Thesis Award (top 2%), Harbin Institute of Technology, 2013

National Scholarship (top 3%), China Ministry of Education, 2013

Meritorious Award (top 9%) for Interdisciplinary Contest in Modeling, COMAP: the Consortium for Mathematics and Its Applications, 2012

National Scholarship (top 3%), China Ministry of Education, 2012

Last edit in June, 2019