Yonghui Xiao

943 total citations
17 papers, 159 citations indexed

About

Yonghui Xiao is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yonghui Xiao has authored 17 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yonghui Xiao's work include Privacy-Preserving Technologies in Data (12 papers), Cryptography and Data Security (4 papers) and Privacy, Security, and Data Protection (4 papers). Yonghui Xiao is often cited by papers focused on Privacy-Preserving Technologies in Data (12 papers), Cryptography and Data Security (4 papers) and Privacy, Security, and Data Protection (4 papers). Yonghui Xiao collaborates with scholars based in United States, Japan and Canada. Yonghui Xiao's co-authors include Li Xiong, Yang Cao, Si Zhang, James Gardner, Slawomir Goryczka, Liyue Fan, Deqian Li, Masatoshi Yoshikawa, Françoise Beaufays and Giovanni Motta and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Yonghui Xiao

15 papers receiving 152 citations

Peers

Yonghui Xiao
Mikhail Yurochkin United States
Kallista Bonawitz United States
Om Thakkar United States
Yunhui Long United States
Natalia Ponomareva United States
Mingshu Cong Hong Kong
Yonghui Xiao
Citations per year, relative to Yonghui Xiao Yonghui Xiao (= 1×) peers Yoni De Mulder

Countries citing papers authored by Yonghui Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yonghui Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghui Xiao

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

All Works

17 of 17 papers shown
1.
Xiao, Yonghui, et al.. (2025). Optimization of Automated Financial Statement Information Disclosure System Based on AI Models. International Journal of Advanced Computer Science and Applications. 16(3).
2.
Ni, Renkun, Yonghui Xiao, Tom Goldstein, et al.. (2024). FedAQT: Accurate Quantized Training with Federated Learning. 6100–6104.
3.
Yang, Tien-Ju, Yonghui Xiao, Giovanni Motta, et al.. (2023). Online Model Compression for Federated Learning with Large Models. 1–5. 6 indexed citations
4.
Yang, Tien-Ju, et al.. (2022). Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8757–8761. 7 indexed citations
5.
Xiao, Yonghui, Tien-Ju Yang, Ding Zhao, et al.. (2022). Federated Pruning: Improving Neural Network Efficiency with Federated Learning. Interspeech 2022. 1701–1705. 5 indexed citations
6.
Xiao, Yonghui, et al.. (2020). Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. 1061–1070. 14 indexed citations
7.
Cao, Yang, et al.. (2020). PANDA. Proceedings of the VLDB Endowment. 13(12). 3001–3004. 4 indexed citations
8.
Cao, Yang, Masatoshi Yoshikawa, Yonghui Xiao, & Li Xiong. (2019). Errata on “Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations”. IEEE Transactions on Knowledge and Data Engineering. 31(11). 2234–2234. 3 indexed citations
9.
Cao, Yang, et al.. (2019). PriSTE. Proceedings of the VLDB Endowment. 12(12). 1866–1869. 9 indexed citations
10.
Cao, Yang, Li Xiong, Masatoshi Yoshikawa, Yonghui Xiao, & Si Zhang. (2018). ConTPL. Proceedings of the VLDB Endowment. 11(12). 2090–2093. 3 indexed citations
11.
Xiao, Yonghui, Li Xiong, Si Zhang, & Yang Cao. (2017). LocLok. Proceedings of the VLDB Endowment. 10(12). 1901–1904. 36 indexed citations
12.
Xu, Xiaofeng, Li Xiong, Vaidy Sunderam, & Yonghui Xiao. (2016). A Markov chain based pruning method for predictive range queries. 1–10. 3 indexed citations
13.
Xiao, Yonghui & Li Xiong. (2014). Dynamic Differential Privacy for Location based Applications.. arXiv (Cornell University). 4 indexed citations
14.
Xiao, Yonghui, Li Xiong, Liyue Fan, & Slawomir Goryczka. (2012). DPCube: Differentially Private Histogram Release through Multidimensional Partitioning. arXiv (Cornell University). 7(3). 195–222. 22 indexed citations
15.
Xiao, Yonghui, James Gardner, & Li Xiong. (2012). DPCube: Releasing Differentially Private Data Cubes for Health Information. 1305–1308. 28 indexed citations
16.
Xiao, Yonghui, et al.. (1992). An expert system for solvent extraction of rare earths. Journal of Chemical Information and Computer Sciences. 32(5). 437–442. 14 indexed citations
17.
Xu, Lu, Guoquan Li, Shuyun Wang, et al.. (1991). CIAC comprehensive information system of rare earths. Journal of Chemical Information and Computer Sciences. 31(3). 375–380. 1 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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