Clique Migration: Affinity Grouping of Virtual Machines for Inter-cloud Live Migration. - Tao Lu; Morgan Stuart; Kun Tang; Xubin He (NAS, 2014)

Alleviating I/O interference via caching and rate-controlled prefetching without degrading migration performance. - Morgan Stuart; Tao Lu; Xubin He (PDSW@SC, 2014)

Successor: Proactive cache warm-up of destination hosts in virtual machine migration contexts. - Tao Lu; Ping Huang 001; Morgan Stuart; Yuhua Guo; Xubin He; Ming Zhang 026 (INFOCOM, 2016)

Survey of progress in deep neural networks for resource-constrained applications. - Morgan Stuart; Milos Manic (IECON, 2017)

Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. - Morgan Stuart; Chathurika S. Wickramasinghe; Daniel L. Marino; Deepak Kumbhare; Kathryn Holloway; Milos Manic (HSI, 2019)

Deep Learning Shared Bandpass Filters for Resource-Constrained Human Activity Recognition. - Morgan Stuart; Milos Manic (IEEE Access, 2021)

Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals. - Srdjan Lesaja; Morgan Stuart; Jerry J. Shih; Pedram Zanganeh Soroush; Tanja Schultz; Milos Manic; Dean J. Krusienski (IEEE Access, 2022)

Perspective on Macroscale Complexity in the National Transplant System. - Morgan Stuart; Andrew Placona; Gabe Vece; Kelsi Lindblad; Saikou Y. Diallo; Bob Carrico (Complex., 2022)

Self-Attention Bottleneck Network for Self-Supervised Anomaly Detection in CAN Data. - Devin Drake; Victor Cobilean; Harindra S. Mavikumbure; Morgan Stuart; Milos Manic (IECON, 2024)

Developing and verifying an artificial twin of the organ procurement and transplant process: A systems approach. - John Rosendale; Gabe Vece; Kelsi Lindblad; Craig Jordan; Morgan Stuart; Alex Nielsen; Beth Kalman; Saikou Y. Diallo (J. Simulation, 2024)

GAP-CAN: Gradient-Based Adversarial Attack on Transformers for CAN Bus Anomaly Detection. - Devin Drake; Victor Cobilean; Harindra S. Mavikumbure; Morgan Stuart; Swagat Das; Milos Manic (ICPS, 2025)

Fairness Perceptions in Regression-based Predictive Models. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla; Morgan Stuart; Casey Canfield (CoRR, 2025)