Zhongshu Gu

1.5k total citations · 1 hit paper
25 papers, 880 citations indexed

About

Zhongshu Gu is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Zhongshu Gu has authored 25 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Signal Processing and 12 papers in Information Systems. Recurrent topics in Zhongshu Gu's work include Security and Verification in Computing (15 papers), Advanced Malware Detection Techniques (14 papers) and Cloud Data Security Solutions (6 papers). Zhongshu Gu is often cited by papers focused on Security and Verification in Computing (15 papers), Advanced Malware Detection Techniques (14 papers) and Cloud Data Security Solutions (6 papers). Zhongshu Gu collaborates with scholars based in United States, Switzerland and China. Zhongshu Gu's co-authors include Dongyan Xu, Xiangyu Zhang, Heqing Huang, Jialong Zhang, Ian Molloy, Jiyong Jang, Marc Ph. Stoecklin, Hui Wu, Xing Gao and Dimitrios Pendarakis and has published in prestigious journals such as ACM Computing Surveys, Computers & Security and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Zhongshu Gu

24 papers receiving 847 citations

Hit Papers

Protecting Intellectual Property of Deep Neural Networks ... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Protecting Intellectual Property of Deep Neural Networks with Watermarking
    2018 277 citations Jialong Zhang, Zhongshu Gu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhongshu Gu United States 14 569 337 325 317 194 25 880
Nicola Tonellotto Italy 17 579 1.0× 180 0.5× 334 1.0× 458 1.4× 278 1.4× 88 990
Andrea Pugliese Italy 18 409 0.7× 256 0.8× 434 1.3× 289 0.9× 121 0.6× 87 886
Nuno Santos Portugal 13 988 1.7× 372 1.1× 503 1.5× 906 2.9× 70 0.4× 53 1.4k
Mohamad Fadli Zolkipli Malaysia 13 452 0.8× 326 1.0× 472 1.5× 222 0.7× 190 1.0× 50 817
Vipin Swarup United States 12 308 0.5× 264 0.8× 540 1.7× 375 1.2× 115 0.6× 33 840
Marc Ph. Stoecklin United States 11 462 0.8× 244 0.7× 372 1.1× 172 0.5× 195 1.0× 28 718
Dionysios Logothetis United States 14 268 0.5× 141 0.4× 516 1.6× 473 1.5× 292 1.5× 18 831
Sergey Bratus United States 16 444 0.8× 394 1.2× 335 1.0× 294 0.9× 64 0.3× 67 803
Charlie Kaufman United States 11 415 0.7× 114 0.3× 502 1.5× 314 1.0× 106 0.5× 18 840
Ariel J. Feldman United States 9 943 1.7× 380 1.1× 377 1.2× 540 1.7× 141 0.7× 16 1.2k

Countries citing papers authored by Zhongshu Gu

Since Specialization
Citations

This map shows the geographic impact of Zhongshu Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhongshu Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongshu Gu more than expected).

Fields of papers citing papers by Zhongshu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhongshu Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhongshu Gu. The network helps show where Zhongshu Gu may publish in the future.

Co-authorship network of co-authors of Zhongshu Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongshu Gu. A scholar is included among the top collaborators of Zhongshu Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhongshu Gu. Zhongshu Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Pau-Chen, Kevin Eykholt, Zhongshu Gu, et al.. (2024). DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation. 219–235. 6 indexed citations
2.
3.
Cheng, Pau-Chen, et al.. (2024). Intel TDX Demystified: A Top-Down Approach. ACM Computing Surveys. 56(9). 1–33. 28 indexed citations
4.
Cheng, Pau-Chen, Kevin Eykholt, Zhongshu Gu, et al.. (2021). Separation of Powers in Federated Learning (Poster Paper). 16–18. 6 indexed citations
5.
Spensky, Chad, Aravind Machiry, Nathan Burow, et al.. (2021). Glitching Demystified: Analyzing Control-flow-based Glitching Attacks and Defenses. 400–412. 8 indexed citations
6.
Gao, Xing, Zhongshu Gu, Zhengfa Li, Hani Jamjoom, & Cong Wang. (2019). Houdini's Escape. 1073–1086. 36 indexed citations
7.
Sun, Yuqiong, et al.. (2018). Security namespace: making Linux security frameworks available to containers. USENIX Security Symposium. 1423–1439. 21 indexed citations
8.
Mohaisen, Aziz, Zhongshu Gu, Kui Ren, et al.. (2018). Look-Aside at Your Own Risk: Privacy Implications of DNSSEC Look-Aside Validation. IEEE Transactions on Dependable and Secure Computing. 17(4). 745–759. 2 indexed citations
9.
Gu, Zhongshu, Heqing Huang, Jialong Zhang, et al.. (2018). YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning. arXiv (Cornell University). 9 indexed citations
10.
Gao, Xing, et al.. (2018). A Study on the Security Implications of Information Leakages in Container Clouds. IEEE Transactions on Dependable and Secure Computing. 18(1). 174–191. 53 indexed citations
11.
Gu, Zhongshu, Brendan Saltaformaggio, Xiangyu Zhang, & Dongyan Xu. (2018). Gemini: Guest-transparent honey files via hypervisor-level access redirection. Computers & Security. 77. 737–744. 2 indexed citations
12.
Zhang, Jialong, Zhongshu Gu, Jiyong Jang, et al.. (2018). Protecting Intellectual Property of Deep Neural Networks with Watermarking. 159–172. 277 indexed citations breakdown →
13.
Gao, Xing, Zhongshu Gu, Mehmet Kayaalp, Dimitrios Pendarakis, & Haining Wang. (2017). ContainerLeaks: Emerging Security Threats of Information Leakages in Container Clouds. 237–248. 96 indexed citations
14.
Mohaisen, Aziz, Zhongshu Gu, & Kui Ren. (2017). Privacy Implications of DNSSEC Look-Aside Validation. 2438–2443. 3 indexed citations
15.
Pei, Kexin, Zhongshu Gu, Brendan Saltaformaggio, et al.. (2016). HERCULE. View. 583–595. 77 indexed citations
16.
Saltaformaggio, Brendan, Rohit Bhatia, Zhongshu Gu, Xiangyu Zhang, & Dongyan Xu. (2015). VCR. 146–157. 22 indexed citations
17.
Gu, Zhongshu, Kexin Pei, Qifan Wang, et al.. (2015). LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. 57–68. 30 indexed citations
18.
Saltaformaggio, Brendan, Zhongshu Gu, Xiangyu Zhang, & Dongyan Xu. (2014). DSCRETE: automatic rendering of forensic information from memory images via application logic reuse. USENIX Security Symposium. 255–269. 16 indexed citations
19.
Gu, Zhongshu, Brendan Saltaformaggio, Xiangyu Zhang, & Dongyan Xu. (2014). FACE-CHANGE: Application-Driven Dynamic Kernel View Switching in a Virtual Machine. 491–502. 21 indexed citations
20.
Gu, Zhongshu, et al.. (2012). Process implanting: a new active introspection framework for virtualization. 18. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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