Showing 1–13 of 13 results
/ Date/ Name
Jan 14, 2020Beam-space Multiplexing: Practice, Theory, and Trends-From 4G TD-LTE, 5G, to 6G and BeyondApr 16, 2023Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson AccelerationOct 24, 2023A Comparative Study of Variational Autoencoders, Normalizing Flows, and Score-based Diffusion Models for Electrical Impedance TomographyAug 31, 2022Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse ProblemsFeb 15, 2025Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource LanguagesNov 8, 2024Equivariant Test-Time Training with Operator Sketching for Imaging Inverse ProblemsJan 14, 2026A New Convergence Analysis of Plug-and-Play Proximal Gradient Descent Under Prior MismatchFeb 22, 2022Fast Gradient Methods for Data-Consistent Local Super-Resolution of Medical ImagesDec 20, 2023Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance TomographyMay 19, 2025Group Symmetry Enables Faster Optimization in Inverse ProblemsDec 3, 2025SHRP: Specialized Head Routing and Pruning for Efficient Encoder CompressionSep 12, 2025CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in ChinaJul 9, 2025Fast Equivariant Imaging: Acceleration for Unsupervised Learning via Augmented Lagrangian and Auxiliary PnP Denoisers