| A model-driven deep neural network for single image rain removal H Wang, Q Xie, Q Zhao, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 178 | 2020 |
| Survey on rain removal from videos or a single image H Wang, Y Wu, M Li, Q Zhao, D Meng Science China Information Sciences 65 (1), 111101, 2022 | 64 | 2022 |
| From rain generation to rain removal H Wang, Z Yue, Q Xie, Q Zhao, Y Zheng, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 40 | 2021 |
| Universal filtered multi-carrier transmission with adaptive active interference cancellation Z Zhang, H Wang, G Yu, Y Zhang, X Wang IEEE Transactions on Communications 65 (6), 2554-2567, 2017 | 26 | 2017 |
| Universal filtered multi-carrier transmission with active interference cancellation H Wang, Z Zhang, Y Zhang, C Wang 2015 International Conference on Wireless Communications & Signal Processing …, 2015 | 20 | 2015 |
| Structural residual learning for single image rain removal H Wang, Y Wu, Q Xie, Q Zhao, Y Liang, S Zhang, D Meng Knowledge-Based Systems. Code: https://github.com/hongwang01/SRNet, 2021 | 19 | 2021 |
| Energy-efficient power allocation for non-orthogonal multiple access with imperfect successive interference cancellation H Wang, Z Zhang, X Chen 2017 9th International Conference on Wireless Communications and Signal …, 2017 | 18 | 2017 |
| Single image rain streaks removal: a review and an exploration H Wang, Q Xie, Y Wu, Q Zhao, D Meng International Journal of Machine Learning and Cybernetics 11, 853-872, 2020 | 17 | 2020 |
| DICDNet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images H Wang, Y Li, N He, K Ma, D Meng, Y Zheng IEEE Transactions on Medical Imaging 41 (4), 869-880, 2021 | 13 | 2021 |
| InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction H Wang, Y Li, H Zhang, J Chen, K Ma, D Meng, Y Zheng International Conference on Medical Image Computing and Computer Assisted …, 2021 | 13 | 2021 |
| RCDNet: An interpretable rain convolutional dictionary network for single image deraining H Wang, Q Xie, Q Zhao, Y Li, Y Liang, Y Zheng, D Meng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 10 | 2023 |
| Selective generative adversarial network for raindrop removal from a single image M Shao, L Li, H Wang, D Meng Neurocomputing 426, 265-273, 2020 | 9 | 2020 |
| Low-light image enhancement by Retinex based algorithm unrolling and adjustment X Liu, Q Xie, Q Zhao, H Wang, D Meng arXiv preprint arXiv:2202.05972, 2022 | 5 | 2022 |
| Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction H Wang, Y Li, D Meng, Y Zheng arXiv preprint arXiv:2205.07471 https://github.com/hongwang01/ACDNet, 2022 | 4 | 2022 |
| InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images H Wang, Y Li, H Zhang, D Meng, Y Zheng Medical Image Analysis 85, 102729, 2023 | 3* | 2023 |
| KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution J Fu, H Wang, Q Xie, Q Zhao, D Meng, Z Xu European Conference on Computer Vision (Oral), 235-253, 2022 | 3 | 2022 |
| Resource allocation for downlink joint space-time and power domain non-orthogonal multiple access H Wang, Z Zhang, X Chen 2017 9th International Conference on Wireless Communications and Signal …, 2017 | 3 | 2017 |
| Enhanced inter-sub-band interference suppression for universal filtered multi-carrier transmission H Wang, Z Zhang, Y Zhang, G Yu 2017 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2017 | 3 | 2017 |
| Orientation-Shared Convolution Representation for CT Metal Artifact Learning H Wang, Q Xie, Y Li, Y Huang, D Meng, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 2 | 2022 |
| A low-complexity reconstruction algorithm for compressed sensing using Reed-Muller sequences J Wang, Z Zhang, X Wang, H Wang, C Jiao 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 2 | 2018 |
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
