activity
20192023
most citedGenerative Principal Component Analysis

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2023

Stochastic Three-Operator Splitting Algorithms for Nonconvex and Nonsmooth Optimization Arising from FLASH Radiotherapy

Fengmiao Bian, Jiulong Liu, Xiaoqun Zhang +2

Radiation therapy (RT) aims to deliver tumoricidal doses with minimal radiation-induced normal-tissue toxicity. Compared to conventional RT (of conventional dose rate), FLASH-RT (o…

stat.ML2022★ 1 cited

Misspecified Phase Retrieval with Generative Priors

Zhaoqiang Liu, Xinshao Wang, Jiulong Liu

In this paper, we study phase retrieval under model misspecification and generative priors. In particular, we aim to estimate an -dimensional signal from i.i.d.…

cs.LG2022★ 2 cited

Non-Iterative Recovery from Nonlinear Observations using Generative Models

Jiulong Liu, Zhaoqiang Liu

In this paper, we aim to estimate the direction of an underlying signal from its nonlinear observations following the semi-parametric single index model (SIM). Unlike conventional…

stat.ML2022★ 6 cited

Generative Principal Component Analysis

Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh +2

In this paper, we study the problem of principal component analysis with generative modeling assumptions, adopting a general model for the observed matrix that encompasses notable…

eess.IV2019★ 4 cited

Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction

Jiulong Liu, Angelica I. Aviles-Rivero, Hui Ji +1

Indirect image registration is a promising technique to improve image reconstruction quality by providing a shape prior for the reconstruction task. In this paper, we propose a nov…