| Data-driven methods for predictive maintenance of industrial equipment: A survey W Zhang, D Yang, H Wang IEEE systems journal 13 (3), 2213-2227, 2019 | 507 | 2019 |
| Optimizing federated learning in distributed industrial IoT: A multi-agent approach W Zhang, D Yang, W Wu, H Peng, N Zhang, H Zhang, X Shen IEEE Journal on Selected Areas in Communications 39 (12), 3688-3703, 2021 | 193 | 2021 |
| Deep reinforcement learning based resource management for DNN inference in industrial IoT W Zhang, D Yang, H Peng, W Wu, W Quan, H Zhang, X Shen IEEE Transactions on Vehicular Technology 70 (8), 7605-7618, 2021 | 112 | 2021 |
| Accuracy-guaranteed collaborative DNN inference in industrial IoT via deep reinforcement learning W Wu, P Yang, W Zhang, C Zhou, X Shen IEEE Transactions on Industrial Informatics 17 (7), 4988-4998, 2020 | 107 | 2020 |
| FRUIT: A blockchain-based efficient and privacy-preserving quality-aware incentive scheme C Zhang, M Zhao, L Zhu, W Zhang, T Wu, J Ni IEEE Journal on Selected Areas in Communications 40 (12), 3343-3357, 2022 | 67 | 2022 |
| DeepHealth: A self-attention based method for instant intelligent predictive maintenance in industrial Internet of Things W Zhang, D Yang, Y Xu, X Huang, J Zhang, M Gidlund IEEE Transactions on Industrial Informatics 17 (8), 5461-5473, 2020 | 55 | 2020 |
| DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks D Yang, W Zhang, Q Ye, C Zhang, N Zhang, C Huang, H Zhang, X Shen IEEE Transactions on Mobile Computing, 2023 | 52 | 2023 |
| Burst-aware time-triggered flow scheduling with enhanced multi-CQF in time-sensitive networks D Yang, Z Cheng, W Zhang, H Zhang, X Shen IEEE/ACM Transactions on Networking 31 (6), 2809-2824, 2023 | 43 | 2023 |
| Learning-based computation offloading for IoRT through Ka/Q-band satellite–terrestrial integrated networks T Chen, J Liu, Q Ye, W Zhuang, W Zhang, T Huang, Y Liu IEEE Internet of Things Journal 9 (14), 12056-12070, 2021 | 31 | 2021 |
| TC-Flow: Chain flow scheduling for advanced industrial applications in time-sensitive networks D Yang, K Gong, J Ren, W Zhang, W Wu, H Zhang IEEE Network 36 (2), 16-24, 2022 | 26 | 2022 |
| Deep-learning-enabled predictive maintenance in industrial internet of things: methods, applications, and challenges H Wang, W Zhang, D Yang, Y Xiang IEEE Systems Journal 17 (2), 2602-2615, 2022 | 22 | 2022 |
| Deep-reinforcement-learning-based latency minimization in edge intelligence over vehicular networks N Zhao, H Wu, FR Yu, L Wang, W Zhang, VCM Leung IEEE Internet of Things Journal 9 (2), 1300-1312, 2021 | 22 | 2021 |
| Blockchain-based anonymous data sharing with accountability for Internet of Things T Wu, W Wang, C Zhang, W Zhang, L Zhu, K Gai, H Wang IEEE Internet of Things Journal 10 (6), 5461-5475, 2022 | 17 | 2022 |
| CarNet: A dual correlation method for health perception of rotating machinery W Zhang, D Yang, H Wang, X Huang, M Gidlund IEEE Sensors Journal 19 (16), 7095-7106, 2019 | 14 | 2019 |
| ReLFA: Resist link flooding attacks via renyi entropy and deep reinforcement learning in SDN-IoT J Wang, Y Liu, W Zhang, X Yan, N Zhou, Z Jiang China Communications 19 (7), 157-171, 2022 | 13 | 2022 |
| Learning‐based deep neural network inference task offloading in multi‐device and multi‐server collaborative edge computing E Cui, D Yang, H Wang, W Zhang Transactions on Emerging Telecommunications Technologies 33 (7), e4485, 2022 | 13 | 2022 |
| Spectrum and computing resource management for federated learning in distributed industrial IoT W Zhang, D Yang, W Wu, H Peng, H Zhang, XS Shen 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 11 | 2021 |
| DeepCQF: Making CQF scheduling more intelligent and practicable Z Cheng, D Yang, W Zhang, J Ren, H Wang, H Zhang ICC 2022-IEEE International Conference on Communications, 1-6, 2022 | 10 | 2022 |
| A smart collaborative framework for dynamic multi-task offloading in IIoT-MEC networks Z Ai, W Zhang, M Li, P Li, L Shi Peer-to-Peer Networking and Applications 16 (2), 749-764, 2023 | 9 | 2023 |
| An efficient scheduling approach for multi-level industrial chain flows in time-sensitive networking K Gong, D Yang, W Zhang, J Ren Computer Networks 221, 109516, 2023 | 9 | 2023 |
Hongke ZhangBeijing Jiaotong UniversityVerified email at bjtu.edu.cn