| Digital twin-assisted efficient reinforcement learning for edge task scheduling X Wang, L Ma, H Li, Z Yin, T Luan, N Cheng 2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-5, 2022 | 19 | 2022 |
| On-demand resource management for 6G wireless networks using knowledge-assisted dynamic neural networks L Ma, N Cheng, X Wang, R Sun, N Lu ICC 2022-IEEE International Conference on Communications, 1-6, 2022 | 11 | 2022 |
| Digital twin-assisted knowledge distillation framework for heterogeneous federated learning X Wang, N Cheng, L Ma, R Sun, R Chai, N Lu China Communications 20 (2), 61-78, 2023 | 8 | 2023 |
| Dynamic neural network-based resource management for mobile edge computing in 6g networks L Ma, N Cheng, C Zhou, X Wang, N Lu, N Zhang, K Aldubaikhy, A Alqasir IEEE Transactions on Cognitive Communications and Networking, 2023 | 4 | 2023 |
| Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication Y Quan, N Cheng, X Wang, J Shen, L Ma, Z Yin 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023 | 2 | 2023 |
| Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks X Wang, N Cheng, L Ma, Z Yin, T Luan, N Lu 2023 IEEE International Conference on Metaverse Computing, Networking and …, 2023 | 2 | 2023 |
| Effectively heterogeneous federated learning: A pairing and split learning based approach J Shen, X Wang, N Cheng, L Ma, C Zhou, Y Zhang GLOBECOM 2023-2023 IEEE Global Communications Conference, 5847-5852, 2023 | 1 | 2023 |
| Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development L Ma, N Cheng, X Wang, J Chen, Y Gao, D Zhang, JJ Zhang arXiv preprint arXiv:2406.13145, 2024 | | 2024 |
| Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach L Ma, N Cheng, X Wang, Z Yin, H Zhou, W Quan 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-5, 2023 | | 2023 |
| Wireless communication network resource allocation method with dynamic adjustment on demand N Cheng, LI Changle, MA Longfei, X Wang, R Sun US Patent App. 17/857,114, 2023 | | 2023 |
| FT-LTR: Low-Timedelay Fault-Tolerant Algorithm for Mesh based Network-on-Chip L Ma, X Wang 2021 International Conference on Communications, Information System and …, 2021 | | 2021 |
