Qizhen Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Caching Strategies

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Jiasheng Hu, Philip A. Bernstein, Jialin Li, Qizhen Zhang
DPDPU: Data Processing with DPUs. CoRR (2024)
Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jiasheng Hu, Yiming Zheng
DDS: DPU-optimized Disaggregated Storage [Extended Report]. CoRR (2024)
Qizhen Zhang, Jiacheng Wu, Ang Chen, Vincent Liu, Boon Thau Loo
Templating Shuffles. CIDR (2023)
Xinyi Chen, Liangcheng Yu, Vincent Liu, Qizhen Zhang
Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of Memory. SIGCOMM (2023)
Chenyuan Wu, Mohammad Javad Amiri, Jared Asch, Heena Nagda, Qizhen Zhang, Boon Thau Loo
FlexChain: An Elastic Disaggregated Blockchain. Proc. VLDB Endow. 16 (1) (2022)
Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo
CompuCache: Remote Computable Caching using Spot VMs. CIDR (2022)
Qizhen Zhang, Xinyi Chen, Sidharth Sankhe, Zhilei Zheng, Ke Zhong, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo
Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT. SIGMOD Conference (2022)
Qizhen Zhang, Jiacheng Wu, Ang Chen, Vincent Liu, Boon Thau Loo
Templating Shuffles. CoRR (2022)
Qizhen Zhang, Kelvin K. W. Ng, Charles W. Kazer, Shen Yan, João Sedoc, Vincent Liu
MimicNet: fast performance estimates for data center networks with machine learning. SIGCOMM (2021)
Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli
Redy: Remote Dynamic Memory Cache. Proc. VLDB Endow. 15 (4) (2021)
Qizhen Zhang, Yifan Cai, Xinyi Chen, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo
Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs. Proc. VLDB Endow. 13 (9) (2020)
Qizhen Zhang, Yifan Cai, Sebastian Angel, Vincent Liu, Ang Chen, Boon Thau Loo
Rethinking Data Management Systems for Disaggregated Data Centers. CIDR (2020)
Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo
Optimizing Declarative Graph Queries at Large Scale. SIGMOD Conference (2019)
Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo
Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. CIKM (2017)
Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui
G-thinker: Big Graph Mining Made Easier and Faster. CoRR (2017)
Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore
Architectural implications on the performance and cost of graph analytics systems. SoCC (2017)
Qizhen Zhang, Da Yan, James Cheng
Quegel: A General-Purpose System for Querying Big Graphs. SIGMOD Conference (2016)
Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
A General-Purpose Query-Centric Framework for Querying Big Graphs. Proc. VLDB Endow. 9 (7) (2016)
Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs. CoRR (2016)