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!
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.
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.