| An edge network orchestrator for mobile augmented reality Q Liu, S Huang, J Opadere, T Han IEEE INFOCOM 2018-IEEE conference on computer communications, 756-764, 2018 | 223 | 2018 |
| Dare: Dynamic adaptive mobile augmented reality with edge computing Q Liu, T Han 2018 IEEE 26th International Conference on Network Protocols (ICNP), 1-11, 2018 | 96 | 2018 |
| Edgeslice: Slicing wireless edge computing network with decentralized deep reinforcement learning Q Liu, T Han, E Moges 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 60 | 2020 |
| On designing energy-efficient heterogeneous cloud radio access networks Q Liu, T Han, N Ansari, G Wu IEEE Transactions on Green Communications and Networking 2 (3), 721-734, 2018 | 57 | 2018 |
| A survey on sleep mode techniques for ultra-dense networks in 5G and beyond F Salahdine, J Opadere, Q Liu, T Han, N Zhang, S Wu Computer Networks 201, 108567, 2021 | 54 | 2021 |
| DeepSlicing: Deep reinforcement learning assisted resource allocation for network slicing Q Liu, T Han, N Zhang, Y Wang GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 44 | 2020 |
| Learning-assisted secure end-to-end network slicing for cyber-physical systems Q Liu, T Han, N Ansari IEEE Network 34 (3), 37-43, 2020 | 41 | 2020 |
| Joint radio and computation resource management for low latency mobile edge computing Q Liu, T Han, N Ansari 2018 IEEE global communications conference (GLOBECOM), 1-7, 2018 | 30 | 2018 |
| LiveMap: Real-time dynamic map in automotive edge computing Q Liu, T Han, JL Xie, BG Kim IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 28 | 2021 |
| Towards secure and intelligent network slicing for 5g networks F Salahdine, Q Liu, T Han IEEE Open Journal of the Computer Society 3, 23-38, 2022 | 26 | 2022 |
| Energy efficient resource allocation for control data separated heterogeneous-CRAN Q Liu, G Wu, Y Guo, Y Zhang, S Hu 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 25 | 2016 |
| Energy-efficient on-demand resource provisioning in cloud radio access networks Q Liu, T Han, N Ansari IEEE Transactions on Green Communications and Networking 3 (4), 1142-1151, 2019 | 24 | 2019 |
| DIRECT: Distributed cross-domain resource orchestration in cellular edge computing Q Liu, T Han Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | 24 | 2019 |
| OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning Q Liu, TH Nakjung Choi International Conference on emerging Networking EXperiments and Technologies, 2021 | 23 | 2021 |
| VirtualEdge: Multi-domain resource orchestration and virtualization in cellular edge computing Q Liu, T Han 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 22 | 2019 |
| Energy-efficient virtual radio access networks for multi-operators cooperative cellular networks J Opadere, Q Liu, T Han, N Ansari IEEE Transactions on Green Communications and Networking 3 (3), 603-614, 2019 | 21 | 2019 |
| When network slicing meets deep reinforcement learning Q Liu, T Han Proceedings of the 15th International Conference on emerging Networking …, 2019 | 18 | 2019 |
| Metamobility: Connecting future mobility with the metaverse H Wang, Z Wang, D Chen, Q Liu, H Ke, KKT Han IEEE Vehicular Technology Magazine 18 (3), 69-79, 2023 | 15 | 2023 |
| Energy-efficient RRH sleep mode for virtual radio access networks J Opadere, Q Liu, T Han GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 15 | 2017 |
| Big-data-driven network partitioning for ultra-dense radio access networks S Huang, T Han, N Ansari 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 15 | 2017 |
Tao HanNew Jersey Institute of Technology在 njit.edu 的电子邮件经过验证
