Jiachun Liao

464 total citations
13 papers, 236 citations indexed

About

Jiachun Liao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Jiachun Liao has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Jiachun Liao's work include Privacy-Preserving Technologies in Data (9 papers), Wireless Communication Security Techniques (8 papers) and Cryptography and Data Security (5 papers). Jiachun Liao is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Wireless Communication Security Techniques (8 papers) and Cryptography and Data Security (5 papers). Jiachun Liao collaborates with scholars based in United States, Singapore and Mexico. Jiachun Liao's co-authors include Lalitha Sankar, Flávio P. Calmon, Oliver Kosut, Vincent Y. F. Tan, Peter Kairouz, Chong Huang, Panpan Tang, Tong Yu, Bo Zhao and Xuepeng Zhang and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Information Forensics and Security and Applied Sciences.

In The Last Decade

Jiachun Liao

13 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiachun Liao United States 10 178 76 46 20 20 13 236
Salman Salamatian United States 7 208 1.2× 104 1.4× 55 1.2× 35 1.8× 23 1.1× 15 276
Brendan McMahan United States 7 142 0.8× 22 0.3× 54 1.2× 13 0.7× 34 1.7× 9 200
Xixiang Lyu China 3 305 1.7× 41 0.5× 121 2.6× 30 1.5× 15 0.8× 5 361
Amirhossein Reisizadeh United States 8 236 1.3× 77 1.0× 144 3.1× 8 0.4× 15 0.8× 15 302
Sai Praneeth Karimireddy Switzerland 8 273 1.5× 38 0.5× 66 1.4× 9 0.5× 49 2.5× 19 301
Ilija Bogunovic Switzerland 8 100 0.6× 20 0.3× 23 0.5× 9 0.5× 22 1.1× 19 182
Ahmed Salem China 7 282 1.6× 27 0.4× 47 1.0× 13 0.7× 48 2.4× 17 334
Shudi Yang China 12 321 1.8× 213 2.8× 143 3.1× 14 0.7× 21 1.1× 28 358
Baofeng Wu China 9 189 1.1× 119 1.6× 25 0.5× 14 0.7× 15 0.8× 29 237
Shuang Zhao China 10 122 0.7× 47 0.6× 179 3.9× 9 0.5× 22 1.1× 43 312

Countries citing papers authored by Jiachun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Jiachun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiachun Liao

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

All Works

13 of 13 papers shown
1.
Liu, Yang, et al.. (2024). A Practical Deep Learning Architecture for Large-Area Solid Wastes Monitoring Based on UAV Imagery. Applied Sciences. 14(5). 2084–2084. 6 indexed citations
2.
Yu, Tong, et al.. (2023). ConvBNet: A Convolutional Network for Building Footprint Extraction. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 10 indexed citations
3.
Kairouz, Peter, et al.. (2022). Generating Fair Universal Representations Using Adversarial Models. IEEE Transactions on Information Forensics and Security. 17. 1970–1985. 11 indexed citations
4.
Kairouz, Peter, et al.. (2021). Neural Network-based Estimation of the MMSE. 1023–1028. 2 indexed citations
5.
Liao, Jiachun, Lalitha Sankar, Oliver Kosut, & Flávio P. Calmon. (2020). Maximal α-Leakage and its Properties. 9 indexed citations
6.
Kairouz, Peter, Jiachun Liao, Chong Huang, & Lalitha Sankar. (2019). Censored and Fair Universal Representations using Generative Adversarial Models. 7 indexed citations
7.
Liao, Jiachun, Lalitha Sankar, Oliver Kosut, & Flávio P. Calmon. (2019). Robustness of Maximal α-Leakage to Side Information. 642–646. 12 indexed citations
8.
Liao, Jiachun, Oliver Kosut, Lalitha Sankar, & Flávio P. Calmon. (2019). Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. IEEE Transactions on Information Theory. 65(12). 8043–8066. 67 indexed citations
9.
Liao, Jiachun, Oliver Kosut, Lalitha Sankar, & Flávio P. Calmon. (2018). A Tunable Measure for Information Leakage. 26 indexed citations
10.
Liao, Jiachun, Oliver Kosut, Lalitha Sankar, & Flávio P. Calmon. (2018). Privacy Under Hard Distortion Constraints. 1–5. 10 indexed citations
11.
Liao, Jiachun, Lalitha Sankar, Flávio P. Calmon, & Vincent Y. F. Tan. (2017). Hypothesis testing under maximal leakage privacy constraints. 779–783. 34 indexed citations
12.
Liao, Jiachun, Lalitha Sankar, Vincent Y. F. Tan, & Flávio P. Calmon. (2017). Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. IEEE Transactions on Information Forensics and Security. 13(4). 1058–1071. 30 indexed citations
13.
Liao, Jiachun, Lalitha Sankar, Vincent Y. F. Tan, & Flávio P. Calmon. (2016). Hypothesis testing in the high privacy limit. 12 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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