| Attention scaling for crowd counting X Jiang, L Zhang, M Xu, T Zhang, P Lv, B Zhou, X Yang, Y Pang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 308 | 2020 |
| Learning pooling for convolutional neural network M Sun, Z Song, X Jiang, J Pan, Y Pang Neurocomputing 224, 96-104, 2017 | 269 | 2017 |
| Convolution in convolution for network in network Y Pang, M Sun, X Jiang, X Li IEEE transactions on neural networks and learning systems 29 (5), 1587-1597, 2017 | 223 | 2017 |
| MDSSD: multi-scale deconvolutional single shot detector for small objects L Cui, R Ma, P Lv, X Jiang, Z Gao, B Zhou, M Xu arXiv preprint arXiv:1805.07009, 2018 | 168 | 2018 |
| Deep neural networks with elastic rectified linear units for object recognition X Jiang, Y Pang, X Li, J Pan, Y Xie Neurocomputing 275, 1132-1139, 2018 | 112 | 2018 |
| SDDNet: A fast and accurate network for surface defect detection L Cui, X Jiang, M Xu, W Li, P Lv, B Zhou IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 88 | 2021 |
| Depth information guided crowd counting for complex crowd scenes M Xu, Z Ge, X Jiang, G Cui, P Lv, B Zhou, C Xu Pattern Recognition Letters 125, 563-569, 2019 | 76 | 2019 |
| Density-aware multi-task learning for crowd counting X Jiang, L Zhang, T Zhang, P Lv, B Zhou, Y Pang, M Xu, C Xu IEEE Transactions on Multimedia 23, 443-453, 2020 | 67 | 2020 |
| Speed up deep neural network based pedestrian detection by sharing features across multi-scale models X Jiang, Y Pang, X Li, J Pan Neurocomputing 185, 163-170, 2016 | 60 | 2016 |
| Learning multi-level density maps for crowd counting X Jiang, L Zhang, P Lv, Y Guo, R Zhu, Y Li, Y Pang, X Li, B Zhou, M Xu IEEE transactions on neural networks and learning systems 31 (8), 2705-2715, 2019 | 58 | 2019 |
| Context-aware block net for small object detection L Cui, P Lv, X Jiang, Z Gao, B Zhou, L Zhang, L Shao, M Xu IEEE Transactions on cybernetics 52 (4), 2300-2313, 2020 | 56 | 2020 |
| Cascaded subpatch networks for effective CNNs X Jiang, Y Pang, M Sun, X Li IEEE transactions on neural networks and learning systems 29 (7), 2684-2694, 2017 | 46 | 2017 |
| Multi-label correlation guided feature fusion network for abnormal ECG diagnosis Z Ge, X Jiang, Z Tong, P Feng, B Zhou, M Xu, Z Wang, Y Pang Knowledge-Based Systems 233, 107508, 2021 | 32 | 2021 |
| User-guided personalized image aesthetic assessment based on deep reinforcement learning P Lv, J Fan, X Nie, W Dong, X Jiang, B Zhou, M Xu, C Xu IEEE Transactions on Multimedia 25, 736-749, 2021 | 32 | 2021 |
| Focal and global spatial-temporal transformer for skeleton-based action recognition Z Gao, P Wang, P Lv, X Jiang, Q Liu, P Wang, M Xu, W Li Proceedings of the Asian Conference on Computer Vision, 382-398, 2022 | 30 | 2022 |
| Traffic simulation and visual verification in smog M Xu, H Wang, S Chu, Y Gan, X Jiang, Y Li, B Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 10 (1), 1-17, 2018 | 25 | 2018 |
| Object detection with neural network X Jiang US Patent 10,275,688, 2019 | 16 | 2019 |
| Joint attention-guided feature fusion network for saliency detection of surface defects X Jiang, F Yan, Y Lu, K Wang, S Guo, T Zhang, Y Pang, J Niu, M Xu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 14 | 2022 |
| Flexible sliding windows with adaptive pixel strides X Jiang, Y Pang, J Pan, X Li Signal Processing 110, 37-45, 2015 | 14 | 2015 |
| Real-time scheduling for carrier-borne aircraft support operations: a reinforcement learning approach Y Li, Q Wu, M Xu, P Lv, X Jiang, RJ Zhu, B Zhou SCIENTIA SINICA Informationis 51 (2), 247, 2021 | 12 | 2021 |
Mingliang Xu (徐明亮)Professor of Computer Science，Zhengzhou University在 zzu.edu.cn 的电子邮件经过验证
