ICLR Accepted: Our paper “Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors” has been accepted to International Coference on Learning Represetations (ICLR) as spotlight.
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In Press: Our paper “CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems” has been on the IEEE Transactions on Computational Imaging (TCI)!! It extends coordinate-based representation to computational imaging. Here is a short video summary.
In Press: Our paper “Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition” has been accepted at NeurIPS 2021! It establishes theoretical recovery guarantees for PnP/RED in compressive sensing.
LANL Research: Extremely happy to share that I will join LANL as a summer intern in 2021!
TCI Accepted: Our paper “SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees” has been accepted on the IEEE Transactions on Computational Imaging (TCI)!