| Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks N Zhao, YC Liang, D Niyato, Y Pei, M Wu, Y Jiang IEEE Transactions on Wireless Communications 18 (11), 5141-5152, 2019 | 394 | 2019 |
| Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing N Zhao, Z Ye, Y Pei, YC Liang, D Niyato IEEE Transactions on Wireless Communications 21 (9), 6949-6960, 2022 | 181 | 2022 |
| Android-based mobile educational platform for speech signal processing N Zhao, M Wu, J Chen International Journal of Electrical Engineering Education 54 (1), 3-16, 2017 | 116 | 2017 |
| Dynamic contract incentive mechanism for cooperative wireless networks N Zhao, YC Liang, Y Pei IEEE transactions on vehicular technology 67 (11), 10970-10982, 2018 | 82 | 2018 |
| Deep reinforcement learning for user association and resource allocation in heterogeneous networks N Zhao, YC Liang, D Niyato, Y Pei, Y Jiang 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 80 | 2018 |
| Research on a handwritten character recognition algorithm based on an extended nonlinear kernel residual network Z Rao, C Zeng, M Wu, Z Wang, N Zhao, M Liu, X Wan KSII Transactions on Internet and Information Systems (TIIS) 12 (1), 413-435, 2018 | 71 | 2018 |
| Joint optimization of cooperative spectrum sensing and resource allocation in multi-channel cognitive radio sensor networks N Zhao Circuits, Systems, and Signal Processing 35, 2563-2583, 2016 | 61 | 2016 |
| Monitoring strategy for relay incentive mechanism in cooperative communication networks N Zhao, Y Chen, R Liu, M Wu, W Xiong Computers & Electrical Engineering 60, 14-29, 2017 | 60 | 2017 |
| Multi-agent deep reinforcement learning for trajectory design and power allocation in multi-UAV networks N Zhao, Z Liu, Y Cheng IEEE Access 8, 139670-139679, 2020 | 58 | 2020 |
| Robust global motion estimation for video security based on improved k-means clustering M Wu, X Li, C Liu, M Liu, N Zhao, J Wang, X Wan, Z Rao, L Zhu Journal of Ambient Intelligence and Humanized Computing 10, 439-448, 2019 | 54 | 2019 |
| Spatial-Temporal Aggregation Graph Convolution Network for Efficient Mobile Cellular Traffic Prediction N Zhao, A Wu, Y Pei, YC Liang, D Niyato IEEE Communications Letters 26 (3), 587-591, 2022 | 51 | 2022 |
| Spatial-temporal attention-convolution network for citywide cellular traffic prediction N Zhao, Z Ye, Y Pei, YC Liang, D Niyato IEEE Communications Letters 24 (11), 2532-2536, 2020 | 48 | 2020 |
| Contract design for relay incentive mechanism under dual asymmetric information in cooperative networks N Zhao, R Liu, Y Chen, M Wu, Y Jiang, W Xiong, C Liu Wireless Networks 24, 3029-3044, 2018 | 39 | 2018 |
| Shallow and deep feature fusion for digital audio tampering detection Z Wang, Y Yang, C Zeng, S Kong, S Feng, N Zhao EURASIP Journal on Advances in Signal Processing 2022 (1), 69, 2022 | 35 | 2022 |
| Deep reinforcement learning for trajectory design and power allocation in UAV networks N Zhao, Y Cheng, Y Pei, YC Liang, D Niyato ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 32 | 2020 |
| Optimisation of multi‐channel cooperative sensing in cognitive radio networks N Zhao, F Pu, X Xu, N Chen IET Communications 7 (12), 1177-1190, 2013 | 27 | 2013 |
| Sparse representations for speech enhancement N Zhao, X Xu, Y Yang Chinese Journal of Electronics 20 (2), 268-272, 2011 | 27 | 2011 |
| Dynamic contract incentives mechanism for traffic offloading in multi‐UAV networks N Zhao, P Fan, Y Cheng Wireless Communications and Mobile Computing 2020 (1), 2361029, 2020 | 26 | 2020 |
| Abs-CAM: a gradient optimization interpretable approach for explanation of convolutional neural networks C Zeng, K Yan, Z Wang, Y Yu, S Xia, N Zhao Signal, Image and Video Processing 17 (4), 1069-1076, 2023 | 24 | 2023 |
| Cognitive wideband spectrum sensing using cosine-modulated filter banks N Zhao, F Pu, X Xu, N Chen International Journal of Electronics 102 (11), 1890-1901, 2015 | 13 | 2015 |
