Weizhe Hua

897 total citations
14 papers, 431 citations indexed

About

Weizhe Hua is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Weizhe Hua has authored 14 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 6 papers in Hardware and Architecture. Recurrent topics in Weizhe Hua's work include Adversarial Robustness in Machine Learning (6 papers), Security and Verification in Computing (4 papers) and Advanced Memory and Neural Computing (3 papers). Weizhe Hua is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Security and Verification in Computing (4 papers) and Advanced Memory and Neural Computing (3 papers). Weizhe Hua collaborates with scholars based in United States and Brazil. Weizhe Hua's co-authors include G. Edward Suh, Zhiru Zhang, Christina Delimitrou, Yuan Zhou, Christopher De, Muhammad Umar, Peter A. Beerel, Matheus T. Moreira, Ney Calazans and Andrew C. Myers and has published in prestigious journals such as Electronics Letters, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Design and Test.

In The Last Decade

Weizhe Hua

14 papers receiving 427 citations

Peers

Weizhe Hua

AI

CNC

EEE

IS

HA

Kuniyasu Suzaki Japan

Pengfei Zuo China

Mark Zhao United States

Xinxin Mei Hong Kong

Jo Vliegen Belgium

Miroslav Knežević Belgium

Jude Angelo Ambrose Australia

Siddhartha Chhabra United States

Stefaan Seys Belgium

Muhsen Owaida Switzerland

Kuniyasu Suzaki Japan

Weizhe Hua

242 ×1.0

AI

97 ×0.6

CNC

68 ×0.5

EEE

143 ×1.2

IS

114 ×1.0

HA

Citations per year, relative to Weizhe Hua Weizhe Hua (= 1×) peers Kuniyasu Suzaki

Countries citing papers authored by Weizhe Hua

Since Specialization

Citations

This map shows the geographic impact of Weizhe Hua'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 Weizhe Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizhe Hua more than expected).

Fields of papers citing papers by Weizhe Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weizhe Hua. 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 Weizhe Hua. The network helps show where Weizhe Hua may publish in the future.

Co-authorship network of co-authors of Weizhe Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Weizhe Hua. A scholar is included among the top collaborators of Weizhe Hua 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 Weizhe Hua. Weizhe Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Umar, Muhammad, Weizhe Hua, Zhiru Zhang, & G. Edward Suh. (2022). SoftVN. 160–172. 6 indexed citations

2.

Hua, Weizhe, Muhammad Umar, Zhiru Zhang, & G. Edward Suh. (2022). GuardNN. Proceedings of the 59th ACM/IEEE Design Automation Conference. 349–354. 16 indexed citations

3.

Hua, Weizhe, Zhiru Zhang, & G. Edward Suh. (2022). Reverse-Engineering CNN Models Using Side-Channel Attacks. IEEE Design and Test. 39(4). 15–22. 3 indexed citations

4.

Hua, Weizhe, Muhammad Umar, Zhiru Zhang, & G. Edward Suh. (2022). MGX. 726–741. 16 indexed citations

5.

Hua, Weizhe, et al.. (2021). Sinan: ML-based and QoS-aware resource management for cloud microservices. 167–181. 126 indexed citations

6.

Hua, Weizhe, Yuan Zhou, Christopher De, Zhiru Zhang, & G. Edward Suh. (2019). Channel Gating Neural Networks. Neural Information Processing Systems. 32. 1884–1894. 25 indexed citations

7.

Hua, Weizhe, Yuan Zhou, Christopher De, Zhiru Zhang, & G. Edward Suh. (2019). Boosting the Performance of CNN Accelerators with Dynamic Fine-Grained Channel Gating. 139–150. 29 indexed citations

8.

Hua, Weizhe, Zhiru Zhang, & G. Edward Suh. (2018). Reverse Engineering Convolutional Neural Networks Through Side-channel Information Leaks. 1–6. 99 indexed citations

9.

Hua, Weizhe, Zhiru Zhang, & G. Edward Suh. (2018). Reverse engineering convolutional neural networks through side-channel information leaks. 1–6. 80 indexed citations

10.

Ferraiuolo, Andrew, Weizhe Hua, Andrew C. Myers, & G. Edward Suh. (2017). Secure Information Flow Verification with Mutable Dependent Types. 1–6. 9 indexed citations

11.

Hua, Weizhe, et al.. (2016). Low Area, Low Power, Robust, Highly Sensitive Error Detecting Latch for Resilient Architectures. 16–21. 5 indexed citations

12.

Hua, Weizhe, et al.. (2016). A Low-Power Low-Area Error-Detecting Latch for Resilient Architectures in 28-nm FDSOI. IEEE Transactions on Circuits & Systems II Express Briefs. 63(9). 858–862. 7 indexed citations

13.

Hua, Weizhe, et al.. (2016). Analysis and Design of Delay Lines for Dynamic Voltage Scaling Applications. 11–18. 7 indexed citations

14.

Hua, Weizhe, et al.. (2015). 2 ps resolution, fine‐grained delay element in 28 nm FDSOI. Electronics Letters. 51(23). 1848–1850. 3 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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