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.
About me
I am a fourth-year Ph.D. student in the department of Computing and Mathematical Sciences (CMS) at California Institute of Technology (Caltech), under the supervision of Professor Katie Bouman. My research interests include computational imaging, optimization, and machine learning. I am broadly interested in all kinds of imaging modalities and excited about innovations both in traditional imaging systems and with other related fields. Prior to coming to Caltech, I was an undergraduate student at Washington University in St. Louis. I was a member of the Computational Imaging Group and fortunate to work with Professor Ulugbek S. Kamilov and Dr. Yu Sun.
News
2024
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.
2023
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!
2022
Poster Accepted to CVPR 2022 CCD Workshop: My poster “Region-of-Interest Adaptive Acquisition for Accelerated MRI” is accepted to CVPR 2022 CCD Workshop.
2021
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.
2020
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.