| Intelligent 5G: When cellular networks meet artificial intelligence R Li, Z Zhao, X Zhou, G Ding, Y Chen, Z Wang, H Zhang IEEE Wireless communications 24 (5), 175-183, 2017 | 578 | 2017 |
| Deep learning with long short-term memory for time series prediction Y Hua, Z Zhao, R Li, X Chen, Z Liu, H Zhang IEEE Communications Magazine 57 (6), 114-119, 2019 | 377 | 2019 |
| Ad Hoc 网络技术 郑少仁， 王海涛， 赵志峰等 北京 人民邮电出版社, 2005 | 334 | 2005 |
| Deep reinforcement learning for resource management in network slicing R Li, Z Zhao, Q Sun, I Chih-Lin, C Yang, X Chen, M Zhao, H Zhang IEEE Access 6, 74429-74441, 2018 | 283 | 2018 |
| Ai-based two-stage intrusion detection for software defined iot networks J Li, Z Zhao, R Li, H Zhang IEEE Internet of Things Journal 6 (2), 2093-2102, 2018 | 196 | 2018 |
| TACT: A transfer actor-critic learning framework for energy saving in cellular radio access networks R Li, Z Zhao, X Chen, J Palicot, H Zhang IEEE transactions on wireless communications 13 (4), 2000-2011, 2014 | 160 | 2014 |
| GAN-powered deep distributional reinforcement learning for resource management in network slicing Y Hua, R Li, Z Zhao, X Chen, H Zhang IEEE Journal on Selected Areas in Communications 38 (2), 334-349, 2019 | 135 | 2019 |
| The learning and prediction of application-level traffic data in cellular networks R Li, Z Zhao, J Zheng, C Mei, Y Cai, H Zhang IEEE Transactions on Wireless Communications 16 (6), 3899-3912, 2017 | 129 | 2017 |
| The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice R Li, Z Zhao, X Zhou, J Palicot, H Zhang IEEE Communications Magazine 52 (6), 234-240, 2014 | 122 | 2014 |
| Multi-tenant cross-slice resource orchestration: A deep reinforcement learning approach X Chen, Z Zhao, C Wu, M Bennis, H Liu, Y Ji, H Zhang IEEE Journal on Selected Areas in Communications 37 (10), 2377-2392, 2019 | 116 | 2019 |
| The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility R Li, C Wang, Z Zhao, R Guo, H Zhang IEEE Communications Letters 24 (9), 2005-2009, 2020 | 80 | 2020 |
| Stochastic power adaptation with multiagent reinforcement learning for cognitive wireless mesh networks X Chen, Z Zhao, H Zhang IEEE Trans. on Mobile Computing 12 (11), 2155-2166, 2013 | 80 | 2013 |
| Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing C Qi, Y Hua, R Li, Z Zhao, H Zhang IEEE Communications Letters 23 (8), 1337-1341, 2019 | 74 | 2019 |
| Ad hoc 网络体系结构研究 赵志峰， 郑少仁 电信科学, 2001 | 74 | 2001 |
| Machine learning‐based IDS for software‐defined 5G network J Li, Z Zhao, R Li Iet Networks 7 (2), 53-60, 2018 | 72 | 2018 |
| The predictability of cellular networks traffic X Zhou, Z Zhao, R Li, Y Zhou, H Zhang 2012 international symposium on communications and information technologies …, 2012 | 61 | 2012 |
| Towards green wireless access networks T Chen, H Zhang, Z Zhao, X Chen 2010 5th International ICST Conference on Communications and Networking in …, 2010 | 61 | 2010 |
| Traffic prediction based on random connectivity in deep learning with long short-term memory Y Hua, Z Zhao, Z Liu, X Chen, R Li, H Zhang 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2018 | 57 | 2018 |
| Energy savings scheme in radio access networks via compressive sensing‐based traffic load prediction R Li, Z Zhao, X Zhou, H Zhang Transactions on emerging telecommunications technologies 25 (4), 468-478, 2014 | 54 | 2014 |
| Semantic communication with adaptive universal transformer Q Zhou, R Li, Z Zhao, C Peng, H Zhang IEEE Wireless Communications Letters 11 (3), 453-457, 2021 | 52 | 2021 |
Honggang ZhangProfessor, Zhejiang University; Chief Managing Editor, Intelligent Computing, Zhejiang LabVerified email at zju.edu.cn
