Jiantao Jiao

2.8k total citations
54 papers, 711 citations indexed

About

Jiantao Jiao is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Jiantao Jiao has authored 54 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 26 papers in Statistics and Probability and 13 papers in Computer Networks and Communications. Recurrent topics in Jiantao Jiao's work include Statistical Methods and Inference (16 papers), Machine Learning and Algorithms (11 papers) and Distributed Sensor Networks and Detection Algorithms (9 papers). Jiantao Jiao is often cited by papers focused on Statistical Methods and Inference (16 papers), Machine Learning and Algorithms (11 papers) and Distributed Sensor Networks and Detection Algorithms (9 papers). Jiantao Jiao collaborates with scholars based in United States, China and Israel. Jiantao Jiao's co-authors include Tsachy Weissman, Yanjun Han, Kartik Venkat, Banghua Zhu, Young-Han Kim, Lei Zhao, Haim H. Permuter, Michael I. Jordan, Hongyang Zhang and Laurent El Ghaoui and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Machine Learning Research.

In The Last Decade

Jiantao Jiao

50 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiantao Jiao United States	13	411	141	98	85	76	54	711
Shuheng Zhou United States	13	372 0.9×	263 1.9×	143 1.5×	30 0.4×	56 0.7×	41	852
Po‐Ling Loh United States	12	214 0.5×	264 1.9×	56 0.6×	70 0.8×	28 0.4×	36	703
Alessio Benavoli Switzerland	15	491 1.2×	78 0.6×	156 1.6×	20 0.2×	55 0.7×	72	754
Zhaoran Wang United States	15	197 0.5×	67 0.5×	44 0.4×	20 0.2×	50 0.7×	53	615
Akshay Krishnamurthy United States	13	293 0.7×	38 0.3×	89 0.9×	50 0.6×	26 0.3×	40	457
Shohei Hido Japan	12	590 1.4×	118 0.8×	83 0.8×	14 0.2×	77 1.0×	15	825
Grzegorz Świrszcz United States	11	239 0.6×	30 0.2×	55 0.6×	82 1.0×	56 0.7×	32	625
Adel Javanmard United States	13	198 0.5×	341 2.4×	347 3.5×	42 0.5×	230 3.0×	33	1.0k

Countries citing papers authored by Jiantao Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Jiantao Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiantao Jiao

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

All Works

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20 of 20 papers shown

Zhu, Banghua, et al.. (2024). Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. 7447–7454. 1 indexed citations

Zhu, Banghua, Stephen Bates, Zhuoran Yang, et al.. (2023). The Sample Complexity of Online Contract Design. 1188–1188. 5 indexed citations

So, Jinhyun, et al.. (2023). Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9864–9873. 39 indexed citations

Baek, Christina, et al.. (2022). Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. Journal of Artificial Intelligence Research. 73. 847–896. 4 indexed citations

Zhu, Banghua, Jiantao Jiao, & Michael I. Jordan. (2022). Robust Estimation for Non-parametric Families via Generative Adversarial Networks. 2022 IEEE International Symposium on Information Theory (ISIT). 1100–1105. 1 indexed citations

Zhu, Banghua, et al.. (2022). Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. IEEE Transactions on Information Theory. 68(12). 8156–8196. 25 indexed citations

Zhu, Banghua, Jiantao Jiao, & David Tse. (2020). Deconstructing Generative Adversarial Networks. IEEE Transactions on Information Theory. 66(11). 7155–7179. 22 indexed citations

Jiao, Jiantao & Yanjun Han. (2020). Bias Correction With Jackknife, Bootstrap, and Taylor Series. IEEE Transactions on Information Theory. 66(7). 4392–4418. 7 indexed citations

Zhu, Banghua, Jiantao Jiao, & Jacob Steinhardt. (2020). When does the Tukey Median work?. 1201–1206. 9 indexed citations

10.

Pavlichin, Dmitri S., Jiantao Jiao, & Tsachy Weissman. (2019). Approximate Profile Maximum Likelihood. Journal of Machine Learning Research. 20(122). 1–55. 8 indexed citations

11.

Zhang, Hongyang, Yaodong Yu, Jiantao Jiao, et al.. (2019). Theoretically Principled Trade-off between Robustness and Accuracy. International Conference on Machine Learning. 7472–7482. 70 indexed citations

12.

Jiao, Jiantao, et al.. (2019). Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. IEEE Transactions on Information Theory. 65(10). 6704–6715. 3 indexed citations

13.

Fanti, Giulia, et al.. (2019). Barracuda. 91. 351–360. 5 indexed citations

14.

Jiao, Jiantao, Weihao Gao, & Yanjun Han. (2018). The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. arXiv (Cornell University). 31. 3156–3167. 6 indexed citations

15.

Jiao, Jiantao, Kartik Venkat, Yanjun Han, & Tsachy Weissman. (2017). Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Transactions on Information Theory. 63(10). 6774–6798. 51 indexed citations

16.

Jiao, Jiantao, Kartik Venkat, Yanjun Han, & Tsachy Weissman. (2015). Minimax Estimation of Functionals of Discrete Distributions. IEEE Transactions on Information Theory. 61(5). 2835–2885. 110 indexed citations

17.

Jiao, Jiantao, Kartik Venkat, & Tsachy Weissman. (2014). Order-Optimal Estimation of Functionals of Discrete Distributions.. arXiv (Cornell University). 2 indexed citations

18.

Jiao, Jiantao, Thomas A. Courtade, Albert No, Kartik Venkat, & Tsachy Weissman. (2014). Information Measures: The Curious Case of the Binary Alphabet. IEEE Transactions on Information Theory. 60(12). 7616–7626. 18 indexed citations

19.

Jiao, Jiantao, et al.. (2012). Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities. IEEE Transactions on Information Theory. 58(9). 6101–6109. 2 indexed citations

20.

Kang, Hobin, et al.. (2010). Nondestructive Assessment of Early Tooth Demineralization Using Cross-Polarization Optical Coherence Tomography. IEEE Journal of Selected Topics in Quantum Electronics. 16(4). 870–876. 41 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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