Discriminative Dictionary Learning for Mixture Component Detection with Application to RF Signal Recognition. - Hao Chen 068; Seung-Jun Kim 002; Thomas Chatt (ACSSC, 2018)

Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning. - Yusen Wu; Hao Chen 068; Xin Wang 122; Chao Liu 039; Phuong Nguyen; Yelena Yesha (IEEE BigData, 2021)

Robust RF Mixture Signal Recognition Using Discriminative Dictionary Learning. - Hao Chen 068; Seung-Jun Kim 002 (IEEE Access, 2021)

Unsupervised Radio Scene Analysis Using Neural Expectation Maximization. - Hao Chen 068; Seung-Jun Kim 002 (MILCOM, 2022)

MixNN: A Design for Protecting Deep Learning Models. - Chao Liu 039; Hao Chen 068; Yusen Wu; Rui Jin (Sensors, 2022)

Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance. - Hao Chen 068; Yusen Wu; Phuong Nguyen; Chao Liu 039; Yelena Yesha (CoRR, 2023)

Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications. - Yusen Wu; Jamie Deng; Hao Chen 068; Phuong Nguyen; Yelena Yesha (CoRR, 2023)

Efficient Data-Sketches and Fine-Tuning for Early Detection of Distributional Drift in Medical Imaging. - Yusen Wu; Hao Chen 068; Alex Pissinou Makki; Phuong Nguyen; Yelena Yesha (CoRR, 2024)