Jingchen Hu

According to our database, Jingchen Hu authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels.

Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang

IEEE Trans. Mob. Comput., August, 2024

2023

Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys.

Jingchen Hu, Terrance D. Savitsky

Trans. Data Priv., May, 2023

Protecting the anonymity of online users through Bayesian data synthesis.

Matthew J. Schneider, Jingchen Hu, Shawn Mankad, Cameron D. Bale

Expert Syst. Appl., April, 2023

2022

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications.

Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li

IEEE Trans. Wirel. Commun., 2022

Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy.

Terrance D. Savitsky, Matthew R. Williams, Jingchen Hu

J. Mach. Learn. Res., 2022

2021

Identification Risks Evaluation of Partially Synthetic Data with the IdentificationRiskCalculation R Package.

Ryan Hornby, Jingchen Hu

Trans. Data Priv., 2021

Multiple Imputation and Synthetic Data Generation with NPBayesImputeCat.

Jingchen Hu, Olanrewaju Akande, Quanli Wang

R J., 2021

Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy.

Jingchen Hu, Jörg Drechsler, Hang J. Kim

CoRR, 2021

2020

Loss of Regularity of Solutions of the Lighthill Problem for Shock Diffraction for Potential Flow.

Gui-Qiang G. Chen, Mikhail Feldman, Jingchen Hu, Wei Xiang

SIAM J. Math. Anal., 2020

2019

Bayesian Estimation of Attribute and Identification Disclosure Risks in Synthetic Data.

Jingchen Hu

Trans. Data Priv., 2019

2018

The Quasi-Multinomial Synthesizer for Categorical Data.

Jingchen Hu, Nobuaki Hoshino

Proceedings of the Privacy in Statistical Databases, 2018

2014

Disclosure Risk Evaluation for Fully Synthetic Categorical Data.

Jingchen Hu, Jerome P. Reiter, Quanli Wang

Proceedings of the Privacy in Statistical Databases, 2014