Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-Mean. - Du Su; Hieu Tri Huynh; Ziao Chen; Yi Lu 001; Wenmiao Lu (KDD, 2020)

Inferring Morphology of a Neuron from In Vivo LFP Data. - Ziao Chen; Dan Dopp; Satish S. Nair; Drew B. Headley (NER, 2021)

Multi-platform simulations facilitate interdisciplinary instruction in undergraduate neuroscience. - David W. Donley; Ziao Chen; David A. Bergin; David J. Schulz; Satish S. Nair (NER, 2021)

Inferring Pyramidal Neuron Morphology using EAP Data. - Ziao Chen; Matthew Carroll; Satish S. Nair (NER, 2023)

FCBTYOLO: A Lightweight and High-Performance Fine Grain Detection Strategy for Rice Pests. - Yiyu Yang; Yongjun Xiao; Ziao Chen; Duoxun Tang; Zhenghao Li; Zhiyong Li (IEEE Access, 2023)

Methodology and Toolkit for Spectral Analysis of Neural Signals. - Ziao Chen; K. C. Ho 001; Satish S. Nair (MWSCAS, 2024)

A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing. - Luyu Shuai; Zhiyong Li; Ziao Chen; Detao Luo; Jiong Mu (Comput. Electron. Agric., 2024)

Put a Lid on It! A Learning-Free Method to Cap a Container via Physical Simulations. - Wan Su; Rong Zhu; Ziao Chen; Wanze Li; Gregory S. Chirikjian (UR, 2025)

A novel spatial temporal neural hierarchical architecture for long-term multi-city air quality prediction. - Yuchen He; Ziao Chen; Lijuan Qian (Expert Syst. Appl., 2025)