Junqi Tang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Image Reconstruction

Inverse Problems

Computed Tomography

Top Venues

SIAM J. Imaging Sci.

Publications

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)