| AI for UAV-assisted IoT applications: A comprehensive review N Cheng, S Wu, X Wang, Z Yin, C Li, W Chen, F Chen IEEE Internet of Things Journal 10 (16), 14438-14461, 2023 | 57 | 2023 |
| Joint flying relay location and routing optimization for 6g uav–iot networks: A graph neural network-based approach X Wang, L Fu, N Cheng, R Sun, T Luan, W Quan, K Aldubaikhy Remote Sensing 14 (17), 4377, 2022 | 47 | 2022 |
| 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 | 20 | 2022 |
| Ringsfl: An adaptive split federated learning towards taming client heterogeneity J Shen, N Cheng, X Wang, F Lyu, W Xu, Z Liu, K Aldubaikhy, X Shen IEEE Transactions on Mobile Computing, 2023 | 17 | 2023 |
| 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 | 12 | 2022 |
| Mobility-aware computation offloading for swarm robotics using deep reinforcement learning X Wang, H Guo 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021 | 12 | 2021 |
| 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 |
| Scalable resource management for dynamic mec: An unsupervised link-output graph neural network approach X Wang, N Cheng, L Fu, W Quan, R Sun, Y Hui, T Luan, XS Shen 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | 4 | 2023 |
| Toward enhanced reinforcement learning-based resource management via digital twin: Opportunities, applications, and challenges N Cheng, X Wang, ZLZ Yin, T Luan, X Shen arXiv preprint arXiv:2406.07857, 2024 | 2 | 2024 |
| Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks Z Wang, Z Yin, X Wang, N Cheng, Y Zhang, TH Luan GLOBECOM 2023-2023 IEEE Global Communications Conference, 958-963, 2023 | 2 | 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 |
| CNN-Based Synergetic Beamforming for Symbiotic Secure Transmissions in Integrated Satellite-Terrestrial Network Z Wang, Z Yin, X Wang, N Cheng, Y Song, TH Luan 2023 IEEE 23rd International Conference on Communication Technology (ICCT …, 2023 | 1 | 2023 |
| Sigt: An efficient end-to-end MIMO-OFDM receiver framework based on transformer Z Ren, N Cheng, R Sun, X Wang, N Lu, W Xu 2022 5th International Conference on Communications, Signal Processing, and …, 2022 | 1 | 2022 |
| Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization X Wang, Q Qiu, N Cheng arXiv preprint arXiv:2407.03668, 2024 | | 2024 |
| Trapezoidal Gradient Descent for Effective Reinforcement Learning in Spiking Networks Y Pan, X Wang, N Cheng, Q Qiu arXiv preprint arXiv:2406.13568, 2024 | | 2024 |
| 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 |
Nan Cheng (承楠)Professor, School of Telecomm. Engineering, Xidian UniversityVerified email at ieee.org
