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Jingchen Hu
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2020 – today
- 2024
- [j9]Yang Li
, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23(8): 8077-8091 (2024) - 2023
- [j8]Matthew J. Schneider, Jingchen Hu
Protecting the anonymity of online users through Bayesian data synthesis. Expert Syst. Appl. 216: 119409 (2023) - [j7]Jingchen Hu, Terrance D. Savitsky:
Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys. Trans. Data Priv. 16(2): 83-121 (2023) - 2022
- [j6]Terrance D. Savitsky, Matthew R. Williams, Jingchen Hu:
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy. J. Mach. Learn. Res. 23: 55:1-55:37 (2022) - [j5]Fanglei Sun
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. IEEE Trans. Wirel. Commun. 21(8): 6167-6179 (2022) - [i2]Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li:
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR abs/2205.10750 (2022) - 2021
- [j4]Jingchen Hu, Olanrewaju Akande, Quanli Wang:
Multiple Imputation and Synthetic Data Generation with NPBayesImputeCat. R J. 13(2): 25 (2021) - [j3]Ryan Hornby, Jingchen Hu:
Identification Risks Evaluation of Partially Synthetic Data with the IdentificationRiskCalculation R Package. Trans. Data Priv. 14(1): 37-52 (2021) - [i1]Jingchen Hu, Jörg Drechsler, Hang J. Kim:
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy. CoRR abs/2103.09705 (2021) - 2020
- [j2]Gui-Qiang G. Chen
Loss of Regularity of Solutions of the Lighthill Problem for Shock Diffraction for Potential Flow. SIAM J. Math. Anal. 52(2): 1096-1114 (2020)
2010 – 2019
- 2019
- [j1]Jingchen Hu:
Bayesian Estimation of Attribute and Identification Disclosure Risks in Synthetic Data. Trans. Data Priv. 12(1): 61-89 (2019) - 2018
- [c2]Jingchen Hu, Nobuaki Hoshino:
The Quasi-Multinomial Synthesizer for Categorical Data. PSD 2018: 75-91 - 2014
- [c1]Jingchen Hu, Jerome P. Reiter, Quanli Wang:
Disclosure Risk Evaluation for Fully Synthetic Categorical Data. Privacy in Statistical Databases 2014: 185-199
Coauthor Index
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