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 | 655 | 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 | 497 | 2019 |

Network slicing as a service: enabling enterprises' own software-defined cellular networks X Zhou, R Li, T Chen, H Zhang IEEE Communications Magazine 54 (7), 146-153, 2016 | 334 | 2016 |

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 | 326 | 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 | 241 | 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 | 177 | 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 | 175 | 2019 |

On the limits of predictability in real-world radio spectrum state dynamics: From entropy theory to 5G spectrum sharing G Ding, J Wang, Q Wu, YD Yao, R Li, H Zhang, Y Zou IEEE Communications Magazine 53 (7), 178-183, 2015 | 150 | 2015 |

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 | 145 | 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 | 135 | 2014 |

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 | 116 | 2020 |

Exploring trajectory prediction through machine learning methods C Wang, L Ma, R Li, TS Durrani, H Zhang IEEE Access 7, 101441-101452, 2019 | 113 | 2019 |

Full-duplex cellular networks R Li, Y Chen, GY Li, G Liu IEEE Communications Magazine 55 (4), 184-191, 2017 | 92 | 2017 |

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 | 88 | 2019 |

Optimal base station sleeping in green cellular networks: A distributed cooperative framework based on game theory J Zheng, Y Cai, X Chen, R Li, H Zhang IEEE Transactions on Wireless Communications 14 (8), 4391-4406, 2015 | 88 | 2015 |

Machine learning‐based IDS for software‐defined 5G network J Li, Z Zhao, R Li Iet Networks 7 (2), 53-60, 2018 | 87 | 2018 |

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 | 84 | 2021 |

Rethinking modern communication from semantic coding to semantic communication K Lu, Q Zhou, R Li, Z Zhao, X Chen, J Wu, H Zhang IEEE Wireless Communications 30 (1), 158-164, 2022 | 75 | 2022 |

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 | 65 | 2012 |

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 | 64 | 2018 |