Qizhen Zhang

According to our database, Qizhen Zhang authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of Memory.

Xinyi Chen, Liangcheng Yu, Vincent Liu, Qizhen Zhang

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Templating Shuffles.

Qizhen Zhang, Jiacheng Wu, Ang Chen, Vincent Liu, Boon Thau Loo

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

FlexChain: An Elastic Disaggregated Blockchain.

Chenyuan Wu, Mohammad Javad Amiri, Jared Asch, Heena Nagda, Qizhen Zhang, Boon Thau Loo

Proc. VLDB Endow., 2022

Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT.

Qizhen Zhang, Xinyi Chen, Sidharth Sankhe, Zhilei Zheng, Ke Zhong, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

CompuCache: Remote Computable Caching using Spot VMs.

Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Redy: Remote Dynamic Memory Cache.

Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli

Proc. VLDB Endow., 2021

MimicNet: fast performance estimates for data center networks with machine learning.

Qizhen Zhang, Kelvin K. W. Ng, Charles W. Kazer, Shen Yan, João Sedoc, Vincent Liu

Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020

Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs.

Qizhen Zhang, Yifan Cai, Xinyi Chen, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo

Proc. VLDB Endow., 2020

Rethinking Data Management Systems for Disaggregated Data Centers.

Qizhen Zhang, Yifan Cai, Sebastian Angel, Vincent Liu, Ang Chen, Boon Thau Loo

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Optimizing Declarative Graph Queries at Large Scale.

Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo

Proceedings of the 2019 International Conference on Management of Data, 2019

2017

G-thinker: Big Graph Mining Made Easier and Faster.

Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui

CoRR, 2017

Architectural implications on the performance and cost of graph analytics systems.

Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis.

Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

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

Proc. VLDB Endow., 2016

Quegel: 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

CoRR, 2016

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, 2016