| Cognitive internet of things: a new paradigm beyond connection Q Wu, G Ding, Y Xu, S Feng, Z Du, J Wang, K Long IEEE Internet of Things journal 1 (2), 129-143, 2014 | 643 | 2014 |
| Hierarchical resource allocation framework for hyper-dense small cell networks J Qiu, G Ding, Q Wu, Z Qian, TA Tsiftsis, Z Du, Y Sun IEEE Access 4, 8657-8669, 2016 | 73 | 2016 |
| Exploiting user demand diversity in heterogeneous wireless networks Z Du, Q Wu, P Yang, Y Xu, J Wang, YD Yao IEEE Transactions on Wireless Communications 14 (8), 4142-4155, 2015 | 60 | 2015 |
| Context-aware indoor VLC/RF heterogeneous network selection: Reinforcement learning with knowledge transfer Z Du, C Wang, Y Sun, G Wu IEEE Access 6, 33275-33284, 2018 | 58 | 2018 |
| A game-theoretic perspective on self-organizing optimization for cognitive small cells Y Xu, J Wang, Q Wu, Z Du, L Shen, A Anpalagan IEEE Communications Magazine 53 (7), 100-108, 2015 | 57 | 2015 |
| Traffic-aware online network selection in heterogeneous wireless networks Q Wu, Z Du, P Yang, YD Yao, J Wang IEEE Transactions on Vehicular Technology 65 (1), 381-397, 2015 | 56 | 2015 |
| A cloud-based architecture for the Internet of spectrum devices over future wireless networks Q Wu, G Ding, Z Du, Y Sun, M Jo, AV Vasilakos IEEE access 4, 2854-2862, 2016 | 49 | 2016 |
| Energy efficient task cooperation for multi-UAV networks: A coalition formation game approach H Luan, Y Xu, D Liu, Z Du, H Qian, X Liu, X Tong IEEE Access 8, 149372-149384, 2020 | 45 | 2020 |
| User-demand-aware wireless network selection: A localized cooperation approach Z Du, Q Wu, P Yang, Y Xu, YD Yao IEEE Transactions on Vehicular Technology 63 (9), 4492-4507, 2014 | 35 | 2014 |
| Dynamic user demand driven online network selection Z Du, Q Wu, P Yang IEEE Communications Letters 18 (3), 419-422, 2014 | 34 | 2014 |
| Green deep reinforcement learning for radio resource management: Architecture, algorithm compression, and challenges Z Du, Y Deng, W Guo, A Nallanathan, Q Wu IEEE Vehicular Technology Magazine 16 (1), 29-39, 2020 | 29 | 2020 |
| Data-driven deployment and cooperative self-organization in ultra-dense small cell networks Z Du, Y Sun, W Guo, Y Xu, Q Wu, J Zhang IEEE Access 6, 22839-22848, 2018 | 26 | 2018 |
| Design and implementation of reinforcement learning‐based intelligent jamming system S Zhang, H Tian, X Chen, Z Du, L Huang, Y Gong, Y Xu IET Communications 14 (18), 3231-3238, 2020 | 18 | 2020 |
| Directed-hypergraph-based channel allocation for ultradense cloud D2D communications with asymmetric interference Y Sun, Z Du, Y Xu, Y Zhang, L Jia, A Anpalagan IEEE Transactions on Vehicular Technology 67 (8), 7712-7718, 2018 | 18 | 2018 |
| Distributed joint optimization of deployment, computation offloading and resource allocation in coalition-based UAV swarms K Yao, Y Xu, J Chen, Y Gong, Y Yang, C Yao, Z Du 2020 International Conference on Wireless Communications and Signal …, 2020 | 15 | 2020 |
| Interference-aware spectrum access self-organization: A weighted graph game perspective Z Du, Q Wu, B Jiang, Y Xu, Z Qin IEEE Systems Journal 12 (4), 3250-3259, 2017 | 15 | 2017 |
| Online sequential channel accessing control: A double exploration vs. exploitation problem P Yang, B Li, J Wang, XY Li, Z Du, Y Yan, Y Xiong IEEE Transactions on Wireless Communications 14 (8), 4654-4666, 2015 | 15 | 2015 |
| Guarding legal communication with smart jammer: Stackelberg game based power control analysis Z Su, N Qi, Y Yan, Z Du, J Chen, Z Feng, Q Wu China Communications 18 (4), 126-136, 2021 | 14 | 2021 |
| Learning with handoff cost constraint for network selection in heterogeneous wireless networks Z Du, Q Wu, P Yang Wireless Communications and Mobile Computing 16 (4), 441-458, 2016 | 14 | 2016 |
| Reinforcement learning based network selection for hybrid VLC and RF systems C Wang, G Wu, Z Du MATEC Web of Conferences 173, 03014, 2018 | 12 | 2018 |
