| Personalized cross-silo federated learning on non-iid data Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7865-7873, 2021 | 449 | 2021 |
| When deep learning meets edge computing Y Huang, X Ma, X Fan, J Liu, W Gong 2017 IEEE 25th international conference on network protocols (ICNP), 1-2, 2017 | 102 | 2017 |
| An edge computing framework for real-time monitoring in smart grid Y Huang, Y Lu, F Wang, X Fan, J Liu, VCM Leung 2018 IEEE International Conference on Industrial Internet (ICII), 99-108, 2018 | 71 | 2018 |
| DeePar: A Hybrid Device-Edge-Cloud Execution Framework for Mobile Deep Learning Applications Y Huang, F Wang, F Wang, J Liu IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 39 | 2019 |
| Task scheduling with optimized transmission time in collaborative cloud-edge learning Y Huang, Y Zhu, X Fan, X Ma, F Wang, J Liu, Z Wang, Y Cui 2018 27th International Conference on Computer Communication and Networks …, 2018 | 34 | 2018 |
| Partial order reduction for checking LTL formulae with the next-time operator S Kan, Z Huang, Z Chen, W Li, Y Huang Journal of Logic and Computation 27 (4), 1095-1131, 2017 | 10 | 2017 |
| Exploiting the edge power: An edge deep learning framework X Fan, Y Huang, X Ma, J Liu, VCM Leung CCF Transactions on Networking 2, 4-11, 2019 | 8 | 2019 |
| ALSensing: Human Activity Recognition using WiFi based on Active Learning G Zhao, Z Zhou, Y Huang, A Nayak, W Gong, H Zhou 2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2023 | 1 | 2023 |
