Qizhen Zhang

According to our database, Qizhen Zhang authored at least 27 papers between 2016 and 2026.

Collaborative distances:

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

2026

PD3: Prefetching Data with DPUs for Disaggregated Memory.

Sidharth Sankhe, Felix Zhang, Umayrah Chonee, Sherman Lim, Jiasheng Hu, Jialin Li, Qizhen Zhang

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs.

Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

dpBento: Benchmarking DPUs for Data Processing.

Jiasheng Hu, Chihan Cui, Anna Li, Raahil Vora, Yuanfan Chen, Philip A. Bernstein, Jialin Li, Qizhen Zhang

CoRR, April, 2025

An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy.

Haotian Yang, Zhuoran Wang, Benson Chou, Sophie Xu, Hao Wang, Jingxian Wang, Qizhen Zhang

CoRR, March, 2025

SaTE: Low-Latency Traffic Engineering for Satellite Networks.

Hao Wu, Yizhan Han, Mohit Rajpal, Qizhen Zhang, Jingxian Wang

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

DPDPU: Data Processing with DPUs.

Jason Hu, Philip A. Bernstein, Jialin Li, Qizhen Zhang

Proceedings of the 15th Conference on Innovative Data Systems Research, 2025

2024

DDS: DPU-optimized Disaggregated Storage.

Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jason Hu, Yiming Zheng

Proc. VLDB Endow., July, 2024

DPDPU: Data Processing with DPUs.

Jiasheng Hu, Philip A. Bernstein, Jialin Li, Qizhen Zhang

CoRR, 2024

DDS: DPU-optimized Disaggregated Storage [Extended Report].

Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jiasheng Hu, Yiming Zheng

CoRR, 2024

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native.

Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo

CoRR, 2024

2023

Disaggregated Database Systems.

Jianguo Wang, Qizhen Zhang

Proceedings of the Companion of the 2023 International Conference on Management of Data, 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