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Junqi Tang
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A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
D Driggs, J Tang, J Liang, M Davies, CB Schönlieb
SIAM Journal on Imaging Sciences 14 (4), 1932-1970, 2021
36*2021
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
J Tang, M Golbabaee, ME Davies
ICML 2017 - International Conference on Machine Learning, 3377-3386, 2017
362017
The Practicality of Stochastic Optimization in Imaging Inverse Problems
J Tang, K Egiazarian, M Golbabaee, M Davies
IEEE Transactions on Computational Imaging 6, 1471-1485, 2020
312020
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
J Tachella, J Tang, M Davies
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2021
28*2021
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
J Tang, M Golbabaee, F Bach, M Davies
NeurIPS 2018 - Advances in Neural Information Processing Systems, 427-438, 2018
182018
Accelerating Deep Unrolling Networks via Dimensionality Reduction
J Tang, S Mukherjee, CB Schönlieb
arXiv preprint arXiv:2208.14784, 2022
11*2022
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
J Tang, M Davies
arXiv preprint arXiv:2006.11630, 2020
112020
Data-Driven Mirror Descent with Input-Convex Neural Networks
HY Tan, S Mukherjee, J Tang, CB Schönlieb
SIAM Journal on Mathematics of Data Science 5 (2), 558-587, 2023
102023
OsmoticGate: Adaptive Edge-based Real-time Video Analytics for the Internet of Things
B Qian, Z Wen, J Tang, Y Yuan, A Zomaya, R Ranjan
IEEE Transactions on Computers 72 (4), 1178-1193, 2023
92023
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems
J Tang, K Egiazarian, M Davies
ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2019
62019
Provably Convergent Plug-and-Play Quasi-Newton Methods
HY Tan, S Mukherjee, J Tang, CB Schönlieb
SIAM Journal on Imaging Sciences, 2024
52024
Structure-Adaptive Accelerated Coordinate Descent
J Tang, M Golbabaee, F Bach, M Davies
Applied Inverse Problems, 2019
5*2019
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems
Z Cai, J Tang, S Mukherjee, J Li, CB Schönlieb, X Zhang
SIAM Journal on Imaging Sciences, 2024
4*2024
Exploiting the Structure via Sketched Gradient Algorithms
J Tang, M Golbabaee, M Davies
GlobalSIP 2017 - IEEE Global Conference on Signal and Information Processing …, 2017
42017
Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes
A Chambolle, C Delplancke, MJ Ehrhardt, CB Schönlieb, J Tang
Journal of Mathematical Imaging and Vision, 1-20, 2024
32024
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
Q Zhou, J Qian, J Tang, J Li
Inverse Problems, 2024
22024
Boosting data-driven mirror descent with randomization, equivariance, and acceleration
HY Tan, S Mukherjee, J Tang, CB Schönlieb
arXiv preprint arXiv:2308.05045, 2023
12023
Robust Data-Driven Accelerated Mirror Descent
HY Tan, S Mukherjee, J Tang, A Hauptmann, CB Schönlieb
ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal …, 2023
12023
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
J Tang
ICSDS-2022, 2022
12022
The Non-uniform Fast Fourier Transform in Computed Tomography
J Tang
The University of Edinburgh (Masters Thesis), 2015
12015
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Articles 1–20