Tao Sun
Orcid: 0000-0001-5024-1900Affiliations:
- National University of Defense Technology, College of Science, Changsha, China
According to our database1,
Tao Sun
authored at least 55 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
CoRR, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz.
CoRR, 2023
CoRR, 2023
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
SIAM J. Imaging Sci., December, 2022
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations.
IEEE Trans. Knowl. Data Eng., 2022
General nonconvex total variation and low-rank regularizations: Model, algorithm and applications.
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neural Process. Lett., 2022
Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization.
Neural Networks, 2022
An automatic learning rate decay strategy for stochastic gradient descent optimization methods in neural networks.
Int. J. Intell. Syst., 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Image Process., 2021
SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning.
CoRR, 2021
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization.
CoRR, 2021
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Frontiers Inf. Technol. Electron. Eng., 2020
A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis.
IEEE Access, 2020
2019
IEEE Trans. Image Process., 2019
Convergence rates of accelerated proximal gradient algorithms under independent noise.
Numer. Algorithms, 2019
Inf. Sci., 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Iteratively Reweighted Penalty Alternating Minimization Methods with Continuation for Image Deblurring.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems.
IEEE Trans. Signal Process., 2018
J. Comput. Appl. Math., 2018
Adv. Comput. Math., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing.
IEEE Trans. Image Process., 2017
Optim. Lett., 2017
J. Glob. Optim., 2017
Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
2016
J. Sci. Comput., 2016
Reweighted fast iterative shrinkage thresholding algorithm with restarts for <i>l</i> <sub>1</sub>-<i>l</i> <sub>1</sub> minimisation.
IET Signal Process., 2016
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
2014
Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems.
CoRR, 2014