Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods. - Vincent Monardo; Abhiram Iyer; Sean Donegan; Marc De Graef; Yuejie Chi (ICIP, 2021)

Deep Unfolded Tensor Robust PCA With Self-Supervised Learning. - Harry Dong; Megna Shah; Sean Donegan; Yuejie Chi (ICASSP, 2023)

A Lightweight Transformer for Faster and Robust EBSD Data Collection. - Harry Dong; Sean Donegan; Megna Shah; Yuejie Chi (CoRR, 2023)

Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing. - William Z. Bernstein; Andrew Bowman; Ryan Durscher; Andrew Gillman; Sean Donegan (J. Comput. Inf. Sci. Eng., 2023)

Human Planning of Robot Actions through LLM-guided State Machine Synthesis. - Brennan Swick; Sean Donegan; Andrew Gillman; Michael Groeber (RO-MAN, 2024)

Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. - Timofey Efimov; Harry Dong; Megna Shah; Jeff P. Simmons; Sean Donegan; Yuejie Chi (ICASSP, 2025)