Disclosure Risk Evaluation for Fully Synthetic Categorical Data. - Jingchen Hu; Jerome P. Reiter; Quanli Wang (Privacy in Statistical Databases, 2014)

The Quasi-Multinomial Synthesizer for Categorical Data. - Jingchen Hu; Nobuaki Hoshino (PSD, 2018)

Bayesian Estimation of Attribute and Identification Disclosure Risks in Synthetic Data. - Jingchen Hu (Trans. Data Priv., 2019)

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 002 (SIAM J. Math. Anal., 2020)

Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy. - Jingchen Hu; Jörg Drechsler; Hang J. Kim (CoRR, 2021)

Multiple Imputation and Synthetic Data Generation with NPBayesImputeCat. - Jingchen Hu; Olanrewaju Akande; Quanli Wang (R J., 2021)

Identification Risks Evaluation of Partially Synthetic Data with the IdentificationRiskCalculation R Package. - Ryan Hornby; Jingchen Hu (Trans. Data Priv., 2021)

Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy. - Terrance D. Savitsky; Matthew R. Williams; Jingchen Hu (J. Mach. Learn. Res., 2022)

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. - Fanglei Sun; Yang Li 116; Ying Wen 001; Jingchen Hu; Jun Wang 012; Yang Yang 001; Kai Li 022 (IEEE Trans. Wirel. Commun., 2022)

Protecting the anonymity of online users through Bayesian data synthesis. - Matthew J. Schneider; Jingchen Hu; Shawn Mankad; Cameron D. Bale (Expert Syst. Appl., 2023)

Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys. - Jingchen Hu; Terrance D. Savitsky (Trans. Data Priv., 2023)

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. - Yang Li 116; Fanglei Sun; Jingchen Hu; Chang Liu; Fan Wu 006; Kai Li 022; Ying Wen 001; Zheng Tian 002; Yaodong Yang 001; Jiangcheng Zhu; Zhifeng Chen; Jun Wang 012; et al. (IEEE Trans. Mob. Comput., 2024)

Diagnosis of unbalanced bearing fault samples based on cycle generative adversarial networks. - Rihao Huang; Liangyu Ma; Jingchen Hu; Xiaochong Duan; Haitian Gao; Jin Ma (Neural Comput. Appl., 2025)