| LAG: Lazily aggregated gradient for communication-efficient distributed learning T Chen, GB Giannakis, T Sun, W Yin Advances in Neural Information Processing Systems 31, 2018 | 332 | 2018 |
| Decentralized federated averaging T Sun, D Li, B Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4289-4301, 2022 | 161 | 2022 |
| On markov chain gradient descent T Sun, Y Sun, W Yin Advances in Neural Information Processing Systems 31, 2018 | 101 | 2018 |
| NTIRE 2022 challenge on perceptual image quality assessment J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 98 | 2022 |
| Asynchronous Coordinate Descent under More Realistic Assumptions T Sun, R Hannah, W Yin Advances in Neural Information Processing Systems 30, 6182-6190, 2017 | 84 | 2017 |
| Non-ergodic convergence analysis of heavy-ball algorithms T Sun, P Yin, D Li, C Huang, L Guan, H Jiang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5033-5040, 2019 | 51 | 2019 |
| Scheduled restart momentum for accelerated stochastic gradient descent B Wang, T Nguyen, T Sun, AL Bertozzi, RG Baraniuk, SJ Osher SIAM Journal on Imaging Sciences 15 (2), 738-761, 2022 | 44 | 2022 |
| Iteratively linearized reweighted alternating direction method of multipliers for a class of nonconvex problems T Sun, H Jiang, L Cheng, W Zhu IEEE Transactions on Signal Processing 66 (20), 5380-5391, 2018 | 34 | 2018 |
| Stability and Generalization of the Decentralized Stochastic Gradient Descent T Sun, D Li, B Wang Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No …, 2021 | 31 | 2021 |
| Alternating direction method of multipliers with difference of convex functions T Sun, P Yin, L Cheng, H Jiang Advances in Computational Mathematics 44, 723-744, 2018 | 30 | 2018 |
| Adaptive temporal difference learning with linear function approximation T Sun, H Shen, T Chen, D Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 29 | 2021 |
| Convergence of proximal iteratively reweighted nuclear norm algorithm for image processing T Sun, H Jiang, L Cheng IEEE Transactions on Image Processing 26 (12), 5632-5644, 2017 | 28 | 2017 |
| NTIRE 2024 challenge on HR depth from images of specular and transparent surfaces PZ Ramirez, F Tosi, L Di Stefano, R Timofte, A Costanzino, M Poggi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| Heavy-ball Algorithms Always Escape Saddle Points T Sun, D Li, Z Quan, H Jiang, S Li, Y Dou Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 23 | 2019 |
| Global convergence of proximal iteratively reweighted algorithm T Sun, H Jiang, L Cheng Journal of Global Optimization, 1-12, 2017 | 21 | 2017 |
| NTIRE 2024 challenge on short-form UGC video quality assessment: Methods and results X Li, K Yuan, Y Pei, Y Lu, M Sun, C Zhou, Z Chen, R Timofte, W Sun, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 20 | 2024 |
| The ninth NTIRE 2024 efficient super-resolution challenge report B Ren, Y Li, N Mehta, R Timofte, H Yu, C Wan, Y Hong, B Han, Z Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
| Hpdl: Towards a general framework for high-performance distributed deep learning D Li, Z Lai, K Ge, Y Zhang, Z Zhang, T Sun, Q Wang, H Wang 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 19 | 2019 |
| On the Decentralized Stochastic Gradient Descent with Markov Chain Sampling T Sun, D Li, B Wang IEEE Transactions on Signal Processing, 2023 | 18* | 2023 |
| An efficient ADMM-based algorithm to nonconvex penalized support vector machines L Guan, L Qiao, D Li, T Sun, K Ge, X Lu 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1209-1216, 2018 | 18 | 2018 |
