Följ
Junqi Tang
Junqi Tang
Assistant Professor, University of Birmingham
Verifierad e-postadress på bham.ac.uk - Startsida
Titel
Citeras av
Citeras av
År
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
43*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
372017
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
332020
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
32*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
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
172023
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
162023
Accelerating Deep Unrolling Networks via Dimensionality Reduction
J Tang, S Mukherjee, CB Schönlieb
arXiv preprint arXiv:2208.14784, 2022
15*2022
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
J Tang, M Davies
arXiv preprint arXiv:2006.11630, 2020
132020
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 66 (3), 294-313, 2024
102024
Provably Convergent Plug-and-Play Quasi-Newton Methods
HY Tan, S Mukherjee, J Tang, CB Schönlieb
SIAM Journal on Imaging Sciences 17 (2), 785--819, 2024
92024
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
82019
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 17 (2), 820-860, 2024
7*2024
Structure-Adaptive Accelerated Coordinate Descent
J Tang, M Golbabaee, F Bach, M Davies
Applied Inverse Problems, 2019
5*2019
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
Q Zhou, J Qian, J Tang, J Li
Inverse Problems 40 (5), 055014, 2024
42024
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
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
J Tang
ICSDS-2022, 2022
32022
Unsupervised Approaches Based on Optimal Transport and Convex Analysis for Inverse Problems in Imaging
M Carioni, S Mukherjee, HY Tan, J Tang
Radon Series on Computational and Applied Mathematics, 2024
22024
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration
HY Tan, S Mukherjee, J Tang, CB Schönlieb
Transactions on Machine Learning Research, 2024
22024
Equivariance Regularization for Image Reconstruction
J Tang
22023
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20