Junqi Tang

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Accepting PhD Students

PhD projects

Optimization, Machine Learning, Computational Imaging

Research activity per year

8 Article
6 Conference contribution

14 results

2024
Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems
Zhou, Q., Qian, J., Tang, J. & Li, J., May 2024, In: Inverse Problems. 40, 5, 20 p., 055014.
Research output: Contribution to journal › Article › peer-review

Open Access
File
7 Downloads (Pure)
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems
Cai, Z., Tang, J., Mukherjee, S., Li, J., Schönlieb, C-B. & Zhang, X., 8 Apr 2024, In: SIAM Journal on Imaging Sciences. 17, 2, p. 820-860 41 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
99 Downloads (Pure)
Provably Convergent Plug-and-Play Quasi-Newton Methods
Tan, H. Y., Mukherjee, S., Tang, J. & Schönlieb, C-B., 2 Apr 2024, In: SIAM Journal on Imaging Sciences. 17, 2, p. 785-819
Research output: Contribution to journal › Article › peer-review

Open Access
File
14 Downloads (Pure)
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes
Chambolle, A., Delplancke, C., Ehrhardt, M., Schönlieb, C-B. & Tang, J., 16 Mar 2024, (E-pub ahead of print) In: Journal of Mathematical Imaging and Vision.
Research output: Contribution to journal › Article › peer-review

Open Access
File
5 Downloads (Pure)
2023
Data-Driven Mirror Descent with Input-Convex Neural Networks
Tan, H. Y., Mukherjee, S., Tang, J. & Schönlieb, C-B., 30 Jun 2023, In: SIAM Journal on Mathematics of Data Science. 5, 2, p. 558-587
Research output: Contribution to journal › Article › peer-review

Open Access
File
35 Downloads (Pure)
OsmoticGate: Adaptive Edge-based Real-time Video Analytics for the Internet of Things
Qian, B., Wen, Z., Tang, J., Yuan, Y., Zomaya, A. & Ranjan, R., Apr 2023, In: IEEE Transactions on Computers. 72, 4, p. 1178-1193 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
9 Downloads (Pure)
Robust Data-Driven Accelerated Mirror Descent
Tan, H. Y., Mukherjee, S., Tang, J., Hauptmann, A. & Schönlieb, C-B., 5 May 2023, (E-pub ahead of print) ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
19 Downloads (Pure)
2021
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
Driggs, D., Tang, J., Liang, J., Davies, M. & Schönlieb, C-B., 21 Dec 2021, In: SIAM Journal on Imaging Sciences. 14, 4, p. 1932-1970 39 p.
Research output: Contribution to journal › Article › peer-review
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
Tachella, J., Tang, J. & Davies, M., 2 Nov 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 8614-8623 10 p. 9578172. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2020
The Practicality of Stochastic Optimization in Imaging Inverse Problems
Tang, J., Egiazarian, K., Golbabaee, M. & Davies, M., 21 Oct 2020, In: IEEE Transactions on Computational Imaging.
Research output: Contribution to journal › Article › peer-review

Open Access
2019
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems
Tang, J., Egiazarian, K. & Davies, M., 12 May 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
2018
Rest-Katyusha: Exploiting the Solution’s Structure via Scheduled Restart Schemes
Tang, J., Golbabaee, M., Bach, F. & Davies, M., 3 Dec 2018, Advances in Neural Information Processing Systems 31 (NeurIPS 2018).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2017

Exploiting the structure via sketched gradient algorithms
Tang, J., Golbabaee, M. & Davies, M., 14 Nov 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
Tang, J., Golbabaee, M. & Davies, M., 6 Aug 2017, Proceedings of the 34th International Conference on Machine Learning.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Junqi Tang

Research output

Search results