New Group Website: The new website of Hopkins Computational Imaging Group is online!
Blog posts
2025
IEEE CISA 2025: Our paper “Neural Inverse Scattering with Score-based Regularization” has been accepted to IEEE CISA 2025 as an oral presentation!
Rising Star Award: I am honored to receive the Rising Star Award by the Conference on Parsimony and Learning—grateful for the recognition and the incredible support from my mentors and colleagues!
ICLR 2025: Our paper “InverseBench: Benchmarking Plug-and-Play Diffusion Models for Scientific Inverse Problems” is accepted to ICLR 2025!
2024
NeurIPS 2024: Our paper “Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors” is accepted to NeurIPS 2024!
IEEE TCI: My work “Provable Probabilistic Imaging using Score-Based Generative Priors” is accepted to IEEE Transactions on Computational Imaging!
New Paper on arXiv: Our new paper “Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors” is on arXiv!
IEEE TCI: Our work “Learning Task-Specific Strategies for Accelerated MRI” is accepted to IEEE Transactions on Computational Imaging!
2023
New Paper on arXiv: My work “Provable Probabilistic Imaging using Score-Based Generative Priors” is now on arXiv! In this work, I proposed plug-and-play Monte Carlo (PMC) as a principled framework to perform posterior sampling for general imaging inverse problems.
Turner Dissertation Award: Excited to share that my dissertation has won the 2022 Turner Dissertation Award!
2022
Elected as a member of IEEE CI TC: I was elected as a member of IEEE Computational Imaging Technical Committee!
Start at Cedars-Sinai Hospital: I joined the Heart Institute Operations as a part-time Clinical Research Data Speclist.
Nature Machine Intelligence: My paper “Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields” has been accepted to Nature Machine Intelligence.
Start my postdoc at Caltech: I will continue working on computational imaging problems with! Free feel to reach out for discussion and collaboration!
ECCV: Our paper “CURE: Learning Cross-Video Neural Representations for High-Quality Frame Interpolation” has been accepted to ECCV 2022.
2021
IEEE TCI Accepted: Our paper “Scalable Plug-and-Play ADMM with Convergence Guarantees” has been accepted to IEEE Transaction on Computational Imaging.
IEEE TCI Accepted: My co-authored paper “SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees” has been accepted to IEEE Transaction on Computational Imaging.
Nvidia Research: Extemely happy to share that I will join Nvidia as a summer intern in 2021.