Jingchen Hu

14 papers C 2Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Diagnosis of unbalanced bearing fault samples based on cycle generative adversarial networks.
Neural Comput. Appl.
Rihao Huang, Liangyu Ma, Jingchen Hu, Xiaochong Duan, Haitian Gao, Jin Ma
2024 J jnl
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels.
IEEE Trans. Mob. Comput.
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
2023 J jnl
Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys.
Trans. Data Priv.
Jingchen Hu, Terrance D. Savitsky
2023 J jnl
Protecting the anonymity of online users through Bayesian data synthesis.
Expert Syst. Appl.
Matthew J. Schneider, Jingchen Hu, Shawn Mankad, Cameron D. Bale
2022 J jnl
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy.
J. Mach. Learn. Res.
Terrance D. Savitsky, Matthew R. Williams, Jingchen Hu
2022 J jnl
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications.
CoRR
Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022 J jnl
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications.
IEEE Trans. Wirel. Commun.
Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2021 J jnl
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy.
CoRR
Jingchen Hu, Jörg Drechsler, Hang Joon Kim
2021 J jnl
Identification Risks Evaluation of Partially Synthetic Data with the IdentificationRiskCalculation R Package.
Trans. Data Priv.
Ryan Hornby, Jingchen Hu
2021 J jnl
Multiple Imputation and Synthetic Data Generation with NPBayesImputeCat.
R J.
Jingchen Hu, Olanrewaju Akande, Quanli Wang
2020 J jnl
Loss of Regularity of Solutions of the Lighthill Problem for Shock Diffraction for Potential Flow.
SIAM J. Math. Anal.
Gui-Qiang G. Chen, Mikhail Feldman, Jingchen Hu, Wei Xiang
2019 J jnl
Bayesian Estimation of Attribute and Identification Disclosure Risks in Synthetic Data.
Trans. Data Priv.
Jingchen Hu
2018 C conf
The Quasi-Multinomial Synthesizer for Categorical Data.
PSD
Jingchen Hu, Nobuaki Hoshino
2014 C conf
Disclosure Risk Evaluation for Fully Synthetic Categorical Data.
Privacy in Statistical Databases
Jingchen Hu, Jerome P. Reiter, Quanli Wang