A comprehensive survey of 6G wireless communications Y Zhao, W Zhai, J Zhao, T Zhang, S Sun, D Niyato, KY Lam arXiv preprint arXiv:2101.03889, 2020 | 55 | 2020 |
A novel rolling bearing fault diagnosis and severity analysis method Y Chen, T Zhang, Z Luo, K Sun Applied Sciences 9 (11), 2356, 2019 | 52 | 2019 |
Rotating machinery fault diagnosis based on improved multiscale amplitude-aware permutation entropy and multiclass relevance vector machine Y Chen, T Zhang, W Zhao, Z Luo, H Lin Sensors 19 (20), 4542, 2019 | 33 | 2019 |
Fault diagnosis of rolling bearing using multiscale amplitude-aware permutation entropy and random forest Y Chen, T Zhang, W Zhao, Z Luo, K Sun Algorithms 12 (9), 184, 2019 | 22 | 2019 |
A fault diagnosis and reconfiguration strategy for self-validating hydrogen sensor array based on mwpca and elm K Song, P Xu, Y Chen, T Zhang, G Wei, Q Wang IEEE Access 7, 115075-115092, 2019 | 14 | 2019 |
Enhancing federated learning with spectrum allocation optimization and device selection T Zhang, KY Lam, J Zhao, F Li, H Han, N Jamil IEEE/ACM Transactions on Networking, 2023 | 10 | 2023 |
Flow rate control in smart district heating systems using deep reinforcement learning T Zhang, J Luo, P Chen, J Liu arXiv preprint arXiv:1912.05313, 2019 | 8 | 2019 |
Joint device scheduling and bandwidth allocation for federated learning over wireless networks T Zhang, KY Lam, J Zhao, J Feng IEEE Transactions on Wireless Communications, 2023 | 2 | 2023 |
Deep reinforcement learning based scheduling strategy for federated learning in sensor-cloud systems T Zhang, KY Lam, J Zhao Future Generation Computer Systems 144, 219-229, 2023 | 2 | 2023 |
Model Embedded DRL for Intelligent Greenhouse Control T Zhang, J Li, J Li, L Wang, F Li, J Liu arXiv preprint arXiv:1912.00020, 2019 | 2 | 2019 |
User assignment and resource allocation for hierarchical federated learning over wireless networks T Zhang, KY Lam, J Zhao arXiv preprint arXiv:2309.09253, 2023 | 1 | 2023 |
Edge-cloud cooperation for dnn inference via reinforcement learning and supervised learning T Zhang, Z Li, Y Chen, KY Lam, J Zhao 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2022 | 1 | 2022 |
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things T Zhang, KY Lam, J Zhao IEEE Internet of Things Journal, 2024 | | 2024 |
Device Scheduling and Bandwidth Allocation for Federated Learning over Wireless Networks T Zhang, KY Lam, J Zhao 2023 10th International Conference on ICT for Smart Society (ICISS), 1-7, 2023 | | 2023 |