Recent publications
Article
Ehrhardt, MJ, Kereta, Ž, Liang, J & Tang, J 2025, 'A Guide to Stochastic Optimisation for Large-Scale Inverse Problems', Inverse Problems, vol. 41, no. 5, 053001. https://doi.org/10.1088/1361-6420/adc0b7
Tang, J, Xu, G, Mukherjee, S & Schönlieb, C-B 2025, 'Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Linear Inverse Problems', Journal of Mathematical Imaging and Vision, vol. 67, 46. https://doi.org/10.1007/s10851-025-01263-9
Tan, HY, Mukherjee, S, Tang, J & Schönlieb, C-B 2024, 'Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration', Transactions on Machine Learning Research. <https://openreview.net/pdf?id=r2dx1s1lqG>
Zhou, Q, Qian, J, Tang, J & Li, J 2024, 'Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems', Inverse Problems, vol. 40, no. 5, 055014. https://doi.org/10.1088/1361-6420/ad35e3
Cai, Z, Tang, J, Mukherjee, S, Li, J, Schönlieb, C-B & Zhang, X 2024, 'NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems', SIAM Journal on Imaging Sciences, vol. 17, no. 2, pp. 820-860. https://doi.org/10.1137/23M1581807
Driggs, D, Ehrhardt, M, Schönlieb, C-B & Tang, J 2024, 'Practical Acceleration of the Condat–Vũ Algorithm', SIAM Journal on Imaging Sciences.
Tan, HY, Mukherjee, S, Tang, J & Schönlieb, C-B 2024, 'Provably Convergent Plug-and-Play Quasi-Newton Methods', SIAM Journal on Imaging Sciences, vol. 17, no. 2, pp. 785-819. https://doi.org/10.1137/23M157185X
Chambolle, A, Delplancke, C, Ehrhardt, M, Schönlieb, C-B & Tang, J 2024, 'Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes', Journal of Mathematical Imaging and Vision. https://doi.org/10.1007/s10851-024-01174-1
Tan, HY, Cai, Z, Pereyra, M, Mukherjee, S, Tang, J & Schönlieb, C-B 2024, 'Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation', Transactions on Machine Learning Research. <https://openreview.net/pdf?id=375tU7Tn0S>
Tan, HY, Mukherjee, S, Tang, J & Schönlieb, C-B 2023, 'Data-Driven Mirror Descent with Input-Convex Neural Networks', SIAM Journal on Mathematics of Data Science, vol. 5, no. 2, pp. 558-587. https://doi.org/10.1137/22M1508613
Qian, B, Wen, Z, Tang, J, Yuan, Y, Zomaya, A & Ranjan, R 2023, 'OsmoticGate: Adaptive Edge-based Real-time Video Analytics for the Internet of Things', IEEE Transactions on Computers, vol. 72, no. 4, pp. 1178-1193. https://doi.org/10.1109/TC.2022.3193630
Chapter (peer-reviewed)
Carioni, M, Mukherjee, S, Tan, HY & Tang, J 2024, Unsupervised Approaches Based on Optimal Transport and Convex Analysis for Inverse Problems in Imaging. in TA Bubba (ed.), Data-driven Models in Inverse Problems. De Gruyter, pp. 107-162. https://doi.org/10.1515/9783111251233-004
Conference contribution
Tan, HY, Mukherjee, S, Tang, J & Schönlieb, C-B 2025, Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. in AAAI-2026 -- Annual AAAI Conference on Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 40th Annual AAAI Conference on Artificial Intelligence, Singapore, Singapore, 20/01/26.
Tang, J, Mukherjee, S & Schönlieb, C-B 2025, Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems. in ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, pp. 1-5, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, 6/04/25. https://doi.org/10.1109/ICASSP49660.2025.10890355
Tang, J, Ehrhardt, MJ & Schönlieb, C-B 2025, Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising. in TA Bubba, R Gaburro, S Gazzola, K Papafitsoros, M Pereyra & C-B Schönlieb (eds), Scale Space and Variational Methods in Computer Vision: 10th International Conference, SSVM 2025, Dartington, UK, May 18–22, 2025, Proceedings, Part II. 1 edn, Lecture Notes in Computer Science, vol. 15668, Springer, pp. 30-41, 10th International Conference on Scale Space and Variational Methods in Computer Vision, Dartington, United Kingdom, 18/05/25. https://doi.org/10.1007/978-3-031-92369-2_3
View all publications in research portal