Yuanshun Yao
- Artificial Intelligence top 1%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Ben Y. ZhaoHai-Tao ZhengHuiying LiBimal ViswanathBolun WangShawn ShanHaitao ZhengYanzi Zhu
- Topics
- Adversarial Robustness in Machine Learning (4 papers)Anomaly Detection Techniques and Applications (3 papers)Indoor and Outdoor Localization Technologies (2 papers)
- Journals
- USENIX Security SymposiumarXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Yuanshun Yao
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 927
- Signal Processing 317
- Computer Vision and Pattern Recognition 238
- Computer Networks and Communications 190
- Information Systems 126
Countries citing papers authored by Yuanshun Yao
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | Backdoor Attacks on Facial Recognition in the Physical World | 15 |
| 5 | 195 | |
| 6 | Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networksbreakdown → | 680 |
| 7 | With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning | 44 |
| 8 | 36 | |
| 9 | 25 | |
| 10 | 90 | |
| 11 | 55 |
About Yuanshun Yao
Yuanshun Yao is a scholar working on Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Signal Processing (317 citations), Artificial Intelligence (927 citations) and Computer Vision and Pattern Recognition (238 citations). Yuanshun Yao has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Ben Y. Zhao, Hai-Tao Zheng, Huiying Li, Bimal Viswanath, Bolun Wang, Shawn Shan, Haitao Zheng, Yanzi Zhu, Xinyi Zhang and Zhijing Li. Their work appears in journals such as USENIX Security Symposium, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.