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
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
Driggs, D, Tang, J, Liang, J, Davies, M & Schönlieb, C-B 2021, 'A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization', SIAM Journal on Imaging Sciences, vol. 14, no. 4, pp. 1932-1970. https://doi.org/10.1137/20M1387213
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
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
Tan, HY, Mukherjee, S, Tang, J, Hauptmann, A & Schönlieb, C-B 2023, Robust Data-Driven Accelerated Mirror Descent. in ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Greece, 4/06/23. https://doi.org/10.1109/ICASSP49357.2023.10096875
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