Qizhen Zhang - RankMe

29 papers A* 4A 5Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. HPCA Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. CoRR Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy. CoRR Haotian Yang, Zhuoran Wang, Benson Chou, Sophie Xu, Hao Wang, Jingxian Wang, Qizhen Zhang
2025	A	`conf`	DPDPU: Data Processing with DPUs. CIDR Jason Hu, Philip A. Bernstein, Jialin Li, Qizhen Zhang
2025	A*	`conf`	SaTE: Low-Latency Traffic Engineering for Satellite Networks. SIGCOMM Hao Wu, Yizhan Han, Mohit Rajpal, Qizhen Zhang, Jingxian Wang
2025	J	`jnl`	dpBento: Benchmarking DPUs for Data Processing. CoRR Jiasheng Hu, Chihan Cui, Anna Li, Raahil Vora, Yuanfan Chen, Philip A. Bernstein, Jialin Li, Qizhen Zhang
2024	J	`jnl`	Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. CoRR 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
2024	J	`jnl`	DDS: DPU-optimized Disaggregated Storage [Extended Report]. CoRR Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jiasheng Hu, Yiming Zheng
2024	J	`jnl`	DDS: DPU-optimized Disaggregated Storage. Proc. VLDB Endow. Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jason Hu, Yiming Zheng
2024	J	`jnl`	DPDPU: Data Processing with DPUs. CoRR Jiasheng Hu, Philip A. Bernstein, Jialin Li, Qizhen Zhang
2023	A*	`conf`	Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of Memory. SIGCOMM Xinyi Chen, Liangcheng Yu, Vincent Liu, Qizhen Zhang
2023	—	`conf`	Disaggregated Database Systems. SIGMOD Conference Companion Jianguo Wang, Qizhen Zhang
2023	A	`conf`	Templating Shuffles. CIDR Qizhen Zhang, Jiacheng Wu, Ang Chen, Vincent Liu, Boon Thau Loo
2022	A	`conf`	CompuCache: Remote Computable Caching using Spot VMs. CIDR Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo
2022	J	`jnl`	FlexChain: An Elastic Disaggregated Blockchain. Proc. VLDB Endow. Chenyuan Wu, Mohammad Javad Amiri, Jared Asch, Heena Nagda, Qizhen Zhang, Boon Thau Loo
2022	—	`conf`	Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT. SIGMOD Conference Qizhen Zhang, Xinyi Chen, Sidharth Sankhe, Zhilei Zheng, Ke Zhong, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo
2022	J	`jnl`	Templating Shuffles. CoRR Qizhen Zhang, Jiacheng Wu, Ang Chen, Vincent Liu, Boon Thau Loo
2021	A*	`conf`	MimicNet: fast performance estimates for data center networks with machine learning. SIGCOMM Qizhen Zhang, Kelvin K. W. Ng, Charles W. Kazer, Shen Yan, João Sedoc, Vincent Liu
2021	J	`jnl`	Redy: Remote Dynamic Memory Cache. CoRR Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli
2021	J	`jnl`	Redy: Remote Dynamic Memory Cache. Proc. VLDB Endow. Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli
2020	A	`conf`	Rethinking Data Management Systems for Disaggregated Data Centers. CIDR Qizhen Zhang, Yifan Cai, Sebastian Angel, Vincent Liu, Ang Chen, Boon Thau Loo
2020	J	`jnl`	Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs. Proc. VLDB Endow. Qizhen Zhang, Yifan Cai, Xinyi Chen, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo
2019	—	`conf`	Optimizing Declarative Graph Queries at Large Scale. SIGMOD Conference Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo
2017	—	`conf`	Architectural implications on the performance and cost of graph analytics systems. SoCC Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore
2017	J	`jnl`	G-thinker: Big Graph Mining Made Easier and Faster. CoRR Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui
2017	A	`conf`	Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. CIKM Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo
2016	J	`jnl`	A General-Purpose Query-Centric Framework for Querying Big Graphs. Proc. VLDB Endow. Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
2016	J	`jnl`	Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs. CoRR Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
2016	—	`conf`	Quegel: A General-Purpose System for Querying Big Graphs. SIGMOD Conference Qizhen Zhang, Da Yan, James Cheng

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.