| On the convergence of learning-based iterative methods for nonconvex inverse problems R Liu, S Cheng, Y He, X Fan, Z Lin, Z Luo IEEE transactions on pattern analysis and machine intelligence 42 (12), 3027 …, 2019 | 73 | 2019 |
| Deep proximal unrolling: Algorithmic framework, convergence analysis and applications R Liu, S Cheng, L Ma, X Fan, Z Luo IEEE Transactions on Image Processing 28 (10), 5013-5026, 2019 | 66 | 2019 |
| A theoretically guaranteed deep optimization framework for robust compressive sensing mri R Liu, Y Zhang, S Cheng, X Fan, Z Luo Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4368-4375, 2019 | 27 | 2019 |
| Proximal alternating direction network: A globally converged deep unrolling framework R Liu, X Fan, S Cheng, X Wang, Z Luo Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 26 | 2018 |
| A deep framework assembling principled modules for CS-MRI: unrolling perspective, convergence behaviors, and practical modeling R Liu, Y Zhang, S Cheng, Z Luo, X Fan IEEE Transactions on Medical Imaging 39 (12), 4150-4163, 2020 | 25 | 2020 |
| Dual neural networks coupling data regression with explicit priors for monocular 3D face reconstruction X Fan, S Cheng, K Huyan, M Hou, R Liu, Z Luo IEEE Transactions on Multimedia 23, 1252-1263, 2020 | 25 | 2020 |
| A bridging framework for model optimization and deep propagation R Liu, S Cheng, L Ma, X Fan, Z Luo Advances in Neural Information Processing Systems 31, 2018 | 17 | 2018 |
| Learning collaborative generation correction modules for blind image deblurring and beyond R Liu, Y He, S Cheng, X Fan, Z Luo Proceedings of the 26th ACM international conference on Multimedia, 1921-1929, 2018 | 16 | 2018 |
| Blind image deblurring via hybrid deep priors modeling S Cheng, R Liu, Y He, X Fan, Z Luo Neurocomputing 387, 334-345, 2020 | 15 | 2020 |
| Geometric approach to detecting volumetric changes in medical images A Naitsat, S Cheng, X Qu, X Fan, E Saucan, YY Zeevi Journal of Computational and Applied Mathematics 329, 37-50, 2018 | 10 | 2018 |
| An efficient algorithm of facial expression recognition by TSG-RNN network K Huang, J Li, S Cheng, J Yu, W Tian, L Zhao, J Hu, CC Chang MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020 | 9 | 2020 |
| Toward designing convergent deep operator splitting methods for task-specific nonconvex optimization R Liu, S Cheng, Y He, X Fan, Z Luo arXiv preprint arXiv:1804.10798, 2018 | 6 | 2018 |
| Designing a stable feedback control system for blind image deconvolution S Cheng, R Liu, X Fan, Z Luo Neural Networks 101, 101-112, 2018 | 3 | 2018 |
| Review of fast density-peaks clustering and its application to pediatric white matter tracts S Cheng, Y Duan, X Fan, D Zhang, H Cheng Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 3 | 2017 |
| Dual-Branch Discrimination Network Using Multiple Sparse Priors for Image Deblurring J Li, S Cheng, Y Tao, H Liu, J Zhou, J Zhang Sensors 22 (16), 6216, 2022 | 2 | 2022 |
| Converged Deep Framework Assembling Principled Modules for CS-MRI R Liu, Y Zhang, S Cheng, Z Luo, X Fan arXiv preprint arXiv:1910.13046, 2019 | 2 | 2019 |
| Fast density-peaks clustering for registration-free pediatric white matter tract analysis X Fan, Y Duan, S Cheng, Y Zhang, H Cheng Artificial Intelligence in Medicine 96, 1-11, 2019 | 2 | 2019 |
| Blind image deblurring via adaptive dynamical system learning R Liu, S Cheng, X Fan, Z Luo 2017 IEEE International Conference on Multimedia and Expo (ICME), 199-204, 2017 | 1 | 2017 |
| Underwater image enhancement via color conversion and white balance-based fusion H Xu, P Mu, Z Liu, S Cheng The Visual Computer, 1-16, 2024 | | 2024 |
| TSG-net: a residual-based informing network for 3D Gaze estimation J Li, J Fei, S Cheng, Z Tang, G Hui Multimedia Tools and Applications 81 (3), 3647-3662, 2022 | | 2022 |
