Quegel: A General-Purpose System for Querying Big Graphs. - Qizhen Zhang 001; Da Yan 001; James Cheng (SIGMOD Conference, 2016)

Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs. - Da Yan 001; James Cheng; M. Tamer Özsu; Fan Yang 091; Yi Lu 010; John C. S. Lui; Qizhen Zhang 001; Wilfred Ng (CoRR, 2016)

A General-Purpose Query-Centric Framework for Querying Big Graphs. - Da Yan 001; James Cheng; M. Tamer Özsu; Fan Yang 091; Yi Lu 010; John C. S. Lui; Qizhen Zhang 001; Wilfred Ng (Proc. VLDB Endow., 2016)

Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. - Qizhen Zhang 001; Tengyuan Ye; Meryem Essaidi; Shivani Agarwal 001; Vincent Liu 001; Boon Thau Loo (CIKM, 2017)

Architectural implications on the performance and cost of graph analytics systems. - Qizhen Zhang 001; Hongzhi Chen; Da Yan 001; James Cheng; Boon Thau Loo; Purushotham V. Bangalore (SoCC, 2017)

G-thinker: Big Graph Mining Made Easier and Faster. - Da Yan 001; Hongzhi Chen; James Cheng; M. Tamer Özsu; Qizhen Zhang 001; John C. S. Lui (CoRR, 2017)

Optimizing Declarative Graph Queries at Large Scale. - Qizhen Zhang 001; Akash Acharya; Hongzhi Chen; Simran Arora; Ang Chen 001; Vincent Liu 001; Boon Thau Loo (SIGMOD Conference, 2019)

Rethinking Data Management Systems for Disaggregated Data Centers. - Qizhen Zhang 001; Yifan Cai; Sebastian Angel; Vincent Liu 001; Ang Chen 001; Boon Thau Loo (CIDR, 2020)

Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs. - Qizhen Zhang 001; Yifan Cai; Xinyi Chen 004; Sebastian Angel; Ang Chen 001; Vincent Liu 001; Boon Thau Loo (Proc. VLDB Endow., 2020)

MimicNet: fast performance estimates for data center networks with machine learning. - Qizhen Zhang 001; Kelvin K. W. Ng; Charles W. Kazer; Shen Yan; João Sedoc; Vincent Liu 001 (SIGCOMM, 2021)

Redy: Remote Dynamic Memory Cache. - Qizhen Zhang 001; Philip A. Bernstein; Daniel S. Berger; Badrish Chandramouli (Proc. VLDB Endow., 2021)

CompuCache: Remote Computable Caching using Spot VMs. - Qizhen Zhang 001; Philip A. Bernstein; Daniel S. Berger; Badrish Chandramouli; Vincent Liu 001; Boon Thau Loo (CIDR, 2022)

Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT. - Qizhen Zhang 001; Xinyi Chen 004; Sidharth Sankhe; Zhilei Zheng; Ke Zhong; Sebastian Angel; Ang Chen 001; Vincent Liu 001; Boon Thau Loo (SIGMOD Conference, 2022)

FlexChain: An Elastic Disaggregated Blockchain. - Chenyuan Wu; Mohammad Javad Amiri; Jared Asch; Heena Nagda; Qizhen Zhang 001; Boon Thau Loo (Proc. VLDB Endow., 2022)

Templating Shuffles. - Qizhen Zhang 001; Jiacheng Wu; Ang Chen 001; Vincent Liu 001; Boon Thau Loo (CIDR, 2023)

Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of Memory. - Xinyi Chen 004; Liangcheng Yu; Vincent Liu 001; Qizhen Zhang 001 (SIGCOMM, 2023)

Disaggregated Database Systems. - Jianguo Wang 001; Qizhen Zhang 001 (SIGMOD Conference Companion, 2023)

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. - Yao Lu; Song Bian 002; Lequn Chen 001; Yongjun He 004; Yulong Hui; Matthew Lentz; Beibin Li; Fei Liu; Jialin Li 001; Qi Liu; Rui Liu; Xiaoxuan Liu; et al. (CoRR, 2024)

DDS: DPU-optimized Disaggregated Storage [Extended Report]. - Qizhen Zhang 001; Philip A. Bernstein; Badrish Chandramouli; Jiasheng Hu; Yiming Zheng (CoRR, 2024)

DPDPU: Data Processing with DPUs. - Jiasheng Hu; Philip A. Bernstein; Jialin Li 001; Qizhen Zhang 001 (CoRR, 2024)

DDS: DPU-optimized Disaggregated Storage. - Qizhen Zhang 001; Philip A. Bernstein; Badrish Chandramouli; Jason Hu; Yiming Zheng (Proc. VLDB Endow., 2024)

dpBento: Benchmarking DPUs for Data Processing. - Jiasheng Hu; Chihan Cui; Anna Li; Raahil Vora; Yuanfan Chen; Philip A. Bernstein; Jialin Li 001; Qizhen Zhang 001 (CoRR, 2025)