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Junqi Tang
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 31
Top Topics
Image Reconstruction
Inverse Problems
Monte Carlo
Computed Tomography
Top Venues
CoRR
SIAM J. Imaging Sci.
ICASSP
GlobalSIP
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Publications
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Antonin Chambolle
,
Claire Delplancke
,
Matthias J. Ehrhardt
,
Carola-Bibiane Schönlieb
,
Junqi Tang
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes.
J. Math. Imaging Vis.
66 (3) (2024)
Matthias J. Ehrhardt
,
Zeljko Kereta
,
Jingwei Liang
,
Junqi Tang
A Guide to Stochastic Optimisation for Large-Scale Inverse Problems.
CoRR
(2024)
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
,
Carola-Bibiane Schönlieb
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration.
Trans. Mach. Learn. Res.
2024 (2024)
Hong Ye Tan
,
Ziruo Cai
,
Marcelo Pereyra
,
Subhadip Mukherjee
,
Junqi Tang
,
Carola-Bibiane Schönlieb
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation.
CoRR
(2024)
Ziruo Cai
,
Junqi Tang
,
Subhadip Mukherjee
,
Jinglai Li
,
Carola-Bibiane Schönlieb
,
Xiaoqun Zhang
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems.
SIAM J. Imaging Sci.
17 (2) (2024)
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
,
Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods.
SIAM J. Imaging Sci.
17 (2) (2024)
Marcello Carioni
,
Subhadip Mukherjee
,
Hong Ye Tan
,
Junqi Tang
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging.
CoRR
(2023)
Ziruo Cai
,
Junqi Tang
,
Subhadip Mukherjee
,
Jinglai Li
,
Carola Bibiane Schönlieb
,
Xiaoqun Zhang
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems.
CoRR
(2023)
Bin Qian
,
Zhenyu Wen
,
Junqi Tang
,
Ye Yuan
,
Albert Y. Zomaya
,
Rajiv Ranjan
OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things.
IEEE Trans. Computers
72 (4) (2023)
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
,
Carola-Bibiane Schönlieb
Data-Driven Mirror Descent with Input-Convex Neural Networks.
SIAM J. Math. Data Sci.
5 (2) (2023)
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
,
Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods.
CoRR
(2023)
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
,
Andreas Hauptmann
,
Carola-Bibiane Schönlieb
Robust Data-Driven Accelerated Mirror Descent.
ICASSP
(2023)
Qingping Zhou
,
Jiayu Qian
,
Junqi Tang
,
Jinglai Li
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems.
CoRR
(2023)
Junqi Tang
Equivariance Regularization for Image Reconstruction.
CoRR
(2022)
Junqi Tang
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients.
CoRR
(2022)
Junqi Tang
,
Subhadip Mukherjee
,
Carola-Bibiane Schönlieb
Accelerating Deep Unrolling Networks via Dimensionality Reduction.
CoRR
(2022)
Junqi Tang
Data-Consistent Local Superresolution for Medical Imaging.
CoRR
(2022)
Junqi Tang
,
Matthias J. Ehrhardt
,
Carola-Bibiane Schönlieb
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning.
CoRR
(2022)
Junqi Tang
Operator Sketching for Deep Unrolling Networks.
CoRR
(2022)
Julián Tachella
,
Junqi Tang
,
Mike E. Davies
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters.
CVPR
(2021)
Junqi Tang
Stochastic Primal-Dual Deep Unrolling Networks for Imaging Inverse Problems.
CoRR
(2021)
Derek Driggs
,
Junqi Tang
,
Jingwei Liang
,
Mike E. Davies
,
Carola-Bibiane Schönlieb
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.
SIAM J. Imaging Sci.
14 (4) (2021)
Junqi Tang
,
Karen O. Egiazarian
,
Mohammad Golbabaee
,
Mike E. Davies
The Practicality of Stochastic Optimization in Imaging Inverse Problems.
IEEE Trans. Computational Imaging
6 (2020)
Junqi Tang
,
Mike E. Davies
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems.
CoRR
(2020)
Julián Tachella
,
Junqi Tang
,
Mike E. Davies
CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser.
CoRR
(2020)
Junqi Tang
,
Karen O. Egiazarian
,
Mike E. Davies
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems.
ICASSP
(2019)
Junqi Tang
,
Karen O. Egiazarian
,
Mohammad Golbabaee
,
Mike E. Davies
The Practicality of Stochastic Optimization in Imaging Inverse Problems.
CoRR
(2019)
Junqi Tang
,
Mohammad Golbabaee
,
Francis R. Bach
,
Mike E. Davies
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes.
NeurIPS
(2018)
Junqi Tang
,
Mohammad Golbabaee
,
Mike E. Davies
Exploiting the structure via sketched gradient algorithms.
GlobalSIP
(2017)
Junqi Tang
,
Mohammad Golbabaee
,
Mike E. Davies
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares.
ICML
(2017)
Junqi Tang
The Non-uniform Fast Fourier Transform in Computed Tomography.
CoRR
(2016)