Yuanshun Yao

2.3k total citations · 1 hit paper
11 papers, 1.1k citations indexed

About

Yuanshun Yao is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Yuanshun Yao has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Yuanshun Yao's work include Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Indoor and Outdoor Localization Technologies (2 papers). Yuanshun Yao is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Indoor and Outdoor Localization Technologies (2 papers). Yuanshun Yao collaborates with scholars based in United States, United Kingdom and China. Yuanshun Yao's co-authors include Ben Y. Zhao, Hai-Tao Zheng, Huiying Li, Bimal Viswanath, Bolun Wang, Shawn Shan, Haitao Zheng, Yanzi Zhu, Zhijing Li and Ana Nika and has published in prestigious journals such as USENIX Security Symposium, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yuanshun Yao

10 papers receiving 1.1k citations

Hit Papers

Neural Cleanse: Identifying and Mitigating Backdoor Attac... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanshun Yao United States 8 927 317 238 190 126 11 1.1k
Kevin Eykholt United States 6 908 1.0× 316 1.0× 215 0.9× 130 0.7× 102 0.8× 12 1.1k
Yingqi Liu United States 16 1.3k 1.5× 463 1.5× 348 1.5× 228 1.2× 136 1.1× 30 1.6k
Nicholas Carlini United States 15 1.6k 1.7× 566 1.8× 357 1.5× 203 1.1× 190 1.5× 34 1.8k
Yousra Aafer United States 14 919 1.0× 516 1.6× 204 0.9× 263 1.4× 215 1.7× 25 1.2k
Derui Wang Australia 8 539 0.6× 323 1.0× 145 0.6× 239 1.3× 114 0.9× 29 770
Hyunsoo Yoon South Korea 15 404 0.4× 164 0.5× 144 0.6× 239 1.3× 123 1.0× 63 692
Tianyu Gu China 9 570 0.6× 171 0.5× 302 1.3× 97 0.5× 46 0.4× 20 898
Kang Liu China 10 652 0.7× 181 0.6× 198 0.8× 127 0.7× 49 0.4× 34 841
Abbas Acar United States 11 667 0.7× 160 0.5× 161 0.7× 253 1.3× 327 2.6× 26 1.0k
Shengshan Hu China 19 878 0.9× 146 0.5× 305 1.3× 155 0.8× 367 2.9× 61 1.2k

Countries citing papers authored by Yuanshun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yuanshun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanshun Yao

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

All Works

11 of 11 papers shown
1.
Yao, Yuanshun, et al.. (2024). Large Language Model Unlearning. 105425–105475.
2.
Sun, Jiankai, et al.. (2023). DPAUC: Differentially Private AUC Computation in Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 15170–15178. 3 indexed citations
3.
Yao, Yuanshun, et al.. (2023). "My face, my rules": Enabling Personalized Protection Against Unacceptable Face Editing. Proceedings on Privacy Enhancing Technologies. 2023(3). 252–267. 2 indexed citations
4.
Yao, Yuanshun, et al.. (2020). Backdoor Attacks on Facial Recognition in the Physical World. arXiv (Cornell University). 15 indexed citations
5.
Yao, Yuanshun, Huiying Li, Hai-Tao Zheng, & Ben Y. Zhao. (2019). Latent Backdoor Attacks on Deep Neural Networks. 2041–2055. 195 indexed citations
6.
Wang, Bolun, Yuanshun Yao, Shawn Shan, et al.. (2019). Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks. 707–723. 680 indexed citations breakdown →
7.
Wang, Bolun, Yuanshun Yao, Bimal Viswanath, Hai-Tao Zheng, & Ben Y. Zhao. (2018). With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning. USENIX Security Symposium. 1281–1297. 44 indexed citations
8.
Zhu, Yanzi, Yuanshun Yao, Ben Y. Zhao, & Haitao Zheng. (2017). Object Recognition and Navigation using a Single Networking Device. 265–277. 36 indexed citations
9.
Yao, Yuanshun, et al.. (2017). Automated Crowdturfing Attacks and Defenses in Online Review Systems. 1143–1158. 90 indexed citations
10.
Li, Zhijing, Ana Nika, Xinyi Zhang, et al.. (2017). Identifying Value in Crowdsourced Wireless Signal Measurements. 607–616. 25 indexed citations
11.
Yao, Yuanshun, et al.. (2017). Complexity vs. performance. 384–397. 55 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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