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New Paper on arXiv: My new paper “STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors” is now on arXiv. Please check out the project website for more details.
Paper Accepted: Our paper “A Unified Model for Compressed Sensing MRI Across Undersampling Patterns” has been accepted to CVPR 2025!
Paper Accepted: Our paper “InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences” has been accepted to ICLR 2025 as a spotlight!
Paper Accepted: Our paper “Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors” has been accepted to NeurIPS 2024 as a poster!
New Paper on arXiv: Our new paper “Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors” is now on arXiv. Please check out our project website for more details.
Paper Accepted: Our paper “Learning Task-Specific Strategies for Accelerated MRI” has been accepted to IEEE Transactions on Computational Imaging! Please check out our project website for more details.
New Paper on arXiv: Our new paper “Provable Probabilistic Imaging using Score-Based Generative Priors” is now on arXiv.
Paper Accepted: Our paper “Demystifying oversmoothing in attention-based graph neural networks” has been accepted to NeurIPS 2023 as a spotlight!
Poster Accepted to CVPR 2022 CCD Workshop: My poster “Region-of-Interest Adaptive Acquisition for Accelerated MRI” is accepted to CVPR 2022 CCD Workshop.
ML4H 2021 Best Paper Award: My paper “End-to-End Sequential Sampling and Reconstruction for MR Imaging” has been accepted to ML4H 2021 and awarded best paper! Please check out our project website for more details.
Paper Published: My paper “Scalable Plug-and-Play ADMM with Convergence Guarantees” has been published on the IEEE Transactions on Computational Imaging!
Poster Accepted to CVPR 2021 CCD Workshop: A poster of my paper “End-to-End Sequential Sampling and Reconstruction for MR Imaging” has been accepted to CVPR 2021 CCD Workshop.
SIMBA Accepted to ICIP 2021: My paper “SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors” has been accepted to ICIP 2021.
New Paper on arXiv: My new paper “End-to-End Sequential Sampling and Reconstruction for MR Imaging” is now on arXiv. Please check out our project website for more details.
Poster Accepted to ICCP 2021: A preliminary version of the paper “End-to-End Sequential Sampling and Reconstruction for MR Imaging” has been accepted as a poster presentation to ICCP 2021.
Joining Caltech: I start my PhD at Caltech as a Kortschak scholar!
Paper Published: My paper “SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors” has been published on the IEEE Journal of Selected Topics in Signal Processing (JSTSP)!
Personal Website: I launch this personal website to record my research history.