| Matching theory based low-latency scheme for multi-task federated learning in mec networks D Chen, CS Hong, L Wang, Y Zha, Y Zhang, X Liu, Z Han IEEE Internet of Things Journal 8 (14), 11415-11426, 2021 | 42 | 2021 |
| Federated learning based mobile edge computing for augmented reality applications D Chen, LJ Xie, BG Kim, L Wang, CS Hong, LC Wang, Z Han 2020 international conference on computing, networking and communications …, 2020 | 41 | 2020 |
| Edge computing resources reservation in vehicular networks: A meta-learning approach D Chen, YC Liu, BG Kim, J Xie, CS Hong, Z Han IEEE Transactions on Vehicular Technology 69 (5), 5634-5646, 2020 | 40 | 2020 |
| Digital twin for federated analytics using a Bayesian approach D Chen, D Wang, Y Zhu, Z Han IEEE Internet of Things Journal 8 (22), 16301-16312, 2021 | 25 | 2021 |
| Prediction of cloud resources demand based on hierarchical pythagorean fuzzy deep neural network D Chen, X Zhang, LL Wang, Z Han IEEE Transactions on Services Computing 14 (6), 1890 - 1901, 2019 | 22 | 2019 |
| FedSVRG Based Communication Efficient Scheme for Federated Learning in MEC Networks D Chen, CS Hong, Y Zha, Y Zhang, X Liu, Z Han IEEE Transactions on Vehicular Technology 70 (7), 7300-7304, 2021 | 9 | 2021 |
| Prediction of cloud resources demand based on fuzzy deep neural network D Chen, X Zhang, L Wang, Z Han 2018 IEEE Global Communications Conference (GLOBECOM), 1-5, 2018 | 7 | 2018 |
| Deep reinforcement learning based strategy for quadrotor UAV pursuer and evader problem D Chen, Y Wei, L Wang, CS Hong, LC Wang, Z Han 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 5 | 2020 |
| Federated Learning for Wireless Networks CS Hong, LU Khan, M Chen, D Chen, W Saad, Z Han Springer Nature, 2021 | 3 | 2021 |
| Incentive Mechanisms for Federated Learning CS Hong, LU Khan, M Chen, D Chen, W Saad, Z Han, C Seon Hong, ... Federated Learning for Wireless Networks, 71-128, 2021 | 3 | 2021 |
| Incentive Framework for Cross-Device Federated Learning and Analytics With Multiple Tasks Based on a Multi-Leader-Follower Game Y Yu, D Chen, X Tang, T Song, CS Hong, Z Han IEEE Transactions on Network Science and Engineering 9 (5), 3749-3761, 2022 | 2 | 2022 |
| Vehicular edge server switching mechanism based on historical data and digital twin simulations D Chen, BG Kim, R Melen US Patent App. 16/854,736, 2021 | 2 | 2021 |
| Love of variety based latency analysis for high definition map updating: Age of information and distributional robust perspectives D Chen, Y Zhu, D Wang, H Wang, J Xie, XP Zhang, Z Han IEEE Transactions on Intelligent Vehicles, 2022 | 1 | 2022 |
| Digital twin-based edge server switching decision D Chen, BG Kim, R Melen US Patent 11,178,247, 2021 | 1 | 2021 |
| Smart industries and intelligent reflecting surfaces CS Hong, LU Khan, M Chen, D Chen, W Saad, Z Han, C Seon Hong, ... Federated Learning for Wireless Networks, 221-239, 2021 | 1 | 2021 |
| Resource optimization for wireless federated learning CS Hong, LU Khan, M Chen, D Chen, W Saad, Z Han, C Seon Hong, ... Federated Learning for Wireless Networks, 27-69, 2021 | 1 | 2021 |
| EPAM: A Predictive Energy Model for Mobile AI A Mallik, H Wang, J Xie, D Chen, K Han arXiv preprint arXiv:2303.01509, 2023 | | 2023 |
| Metamobility: Connecting Future Mobility with Metaverse H Wang, Z Wang, D Chen, Q Liu, H Ke, K Han arXiv preprint arXiv:2301.06991, 2023 | | 2023 |
| Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing Y Liu, H Wang, Z Cai, D Chen, K Han 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 281-283, 2022 | | 2022 |
| A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks E Sun, H Qu, Y Yuan, M Li, Z Wang, D Chen Wireless Communications and Mobile Computing 2021, 2021 | | 2021 |
Zhu HanUniversity of Houston在 uh.edu 的电子邮件经过验证
