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

6 results

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2023
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
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2021
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
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

Robust Data-Driven Accelerated Mirror Descent

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters

The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems

Rest-Katyusha: Exploiting the Solution’s Structure via Scheduled Restart Schemes

Exploiting the structure via sketched gradient algorithms

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares