| A cooperative partial computation offloading scheme for mobile edge computing enabled Internet of Things Z Ning, P Dong, X Kong, F Xia IEEE Internet of Things Journal 6 (3), 4804-4814, 2018 | 537 | 2018 |
| Mobile edge computing enabled 5G health monitoring for Internet of medical things: A decentralized game theoretic approach Z Ning, P Dong, X Wang, X Hu, L Guo, B Hu, Y Guo, T Qiu, RYK Kwok IEEE Journal on Selected Areas in Communications 39 (2), 463-478, 2020 | 385 | 2020 |
| Deep reinforcement learning for vehicular edge computing: An intelligent offloading system Z Ning, P Dong, X Wang, JJPC Rodrigues, F Xia ACM Transactions on Intelligent Systems and Technology (TIST) 10 (6), 1-24, 2019 | 320 | 2019 |
| Partial computation offloading and adaptive task scheduling for 5G-enabled vehicular networks Z Ning, P Dong, X Wang, X Hu, J Liu, L Guo, B Hu, RYK Kwok, ... IEEE Transactions on Mobile Computing 21 (4), 1319-1333, 2020 | 174 | 2020 |
| Deep reinforcement learning for intelligent internet of vehicles: An energy-efficient computational offloading scheme Z Ning, P Dong, X Wang, L Guo, JJPC Rodrigues, X Kong, J Huang, ... IEEE Transactions on Cognitive Communications and Networking 5 (4), 1060-1072, 2019 | 170 | 2019 |
| When deep reinforcement learning meets 5G-enabled vehicular networks: A distributed offloading framework for traffic big data Z Ning, P Dong, X Wang, MS Obaidat, X Hu, L Guo, Y Guo, J Huang, B Hu, ... IEEE Transactions on Industrial Informatics 16 (2), 1352-1361, 2019 | 153 | 2019 |
| Distributed and dynamic service placement in pervasive edge computing networks Z Ning, P Dong, X Wang, S Wang, X Hu, S Guo, T Qiu, B Hu, RYK Kwok IEEE Transactions on Parallel and Distributed Systems 32 (6), 1277-1292, 2020 | 140 | 2020 |
| 5G-enabled UAV-to-community offloading: Joint trajectory design and task scheduling Z Ning, P Dong, M Wen, X Wang, L Guo, RYK Kwok, HV Poor IEEE Journal on Selected Areas in Communications 39 (11), 3306-3320, 2021 | 132 | 2021 |
| Edge computing based healthcare systems: Enabling decentralized health monitoring in Internet of medical Things P Dong, Z Ning, MS Obaidat, X Jiang, Y Guo, X Hu, B Hu, B Sadoun IEEE Network 34 (5), 254-261, 2020 | 93 | 2020 |
| NOMA-based energy-efficient task scheduling in vehicular edge computing networks: A self-imitation learning-based approach P Dong, Z Ning, R Ma, X Wang, X Hu, B Hu China Communications 17 (11), 1-11, 2020 | 36 | 2020 |
| Collaborative edge computing for social internet of things: Applications, solutions, and challenges P Dong, J Ge, X Wang, S Guo IEEE Transactions on Computational Social Systems 9 (1), 291-301, 2021 | 35 | 2021 |
| When deep reinforcement learning meets 5G vehicular networks: A distributed offloading framework for traffic big data Z Ning, P Dong, X Wang, MS Obaidat, X Hu, L Guo, Y Guo, J Huang, B Hu, ... IEEE Trans. Ind. Informat., 0 | 20 | |
| Cadm: Codec-aware diffusion modeling for neural-enhanced video streaming Q Zhou, R Li, S Guo, P Dong, Y Liu, J Guo, Z Xu arXiv preprint arXiv:2211.08428, 2022 | 16 | 2022 |
| Internet of UAVs based remote health monitoring: An online eHealth system P Dong, X Wang, S Wang, Y Wang, Z Ning, MS Obaidat IEEE Wireless Communications 28 (3), 15-21, 2021 | 11 | 2021 |
| Gbe-mlzsl: A group bi-enhancement framework for multi-label zero-shot learning Z Liu, J Guo, X Lu, S Guo, P Dong, J Zhang arXiv preprint arXiv:2309.00923, 2023 | 8 | 2023 |
| Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware P Dong, S Guo, J Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| Towards test-time refusals via concept negation P Dong, S Guo, J Wang, B Wang, J Zhang, Z Liu Advances in Neural Information Processing Systems 36, 26638-26649, 2023 | 4 | 2023 |
| Advanced Video Inpainting Using Optical Flow-Guided Efficient Diffusion B Gu, H Luo, S Guo, P Dong arXiv preprint arXiv:2412.00857, 2024 | 1 | 2024 |
| Poisoning Attack on Federated Knowledge Graph Embedding E Zhou, S Guo, Z Ma, Z Hong, T Guo, P Dong Proceedings of the ACM on Web Conference 2024, 1998-2008, 2024 | 1 | 2024 |
| Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring J Zhang, S Guo, P Dong, J Zhang, Z Liu, Y Yu, XM Wu Forty-first International Conference on Machine Learning, 0 | 1 | |
Zhaolong Ning(宁兆龙)Professor, Highly Cited Researcher, Chongqing University of Posts and Telecommunications在 ieee.org 的电子邮件经过验证