Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. - Andrew D. McRae; Austin Xu; Jihui Jin; Namrata Nadagouda; Nauman Ahad; Peimeng Guan; Santhosh Karnik; Mark A. Davenport (ICASSP, 2022)

Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver. - Peimeng Guan; Jihui Jin; Justin Romberg; Mark A. Davenport (CoRR, 2022)

MANGO: Disentangled Image Transformation Manifolds with Grouped Operators. - Brighton Ancelin; Yenho Chen; Peimeng Guan; Chiraag Kaushik; Belen Martin-Urcelay; Alex Saad-Falcon; Nakul Singh (CoRR, 2024)

Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff. - Peimeng Guan; Mark A. Davenport (CoRR, 2024)

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures. - Peimeng Guan; Naveed Iqbal 001; Mark A. Davenport; Mudassir Masood (Trans. Mach. Learn. Res., 2024)

Test-Time Forward Model Adaptation for Seismic Deconvolution. - Peimeng Guan; Naveed Iqbal 001; Mark A. Davenport; Mudassir Masood (IEEE Geosci. Remote. Sens. Lett., 2025)