| Scaling geo-distributed network function chains: A prediction and learning framework Z Luo, C Wu, Z Li, W Zhou IEEE Journal on Selected Areas in Communications 37 (8), 1838-1850, 2019 | 47 | 2019 |
| An online algorithm for VNF service chain scaling in datacenters Z Luo, C Wu IEEE/ACM Transactions on Networking 28 (3), 1061-1073, 2020 | 36 | 2020 |
| Optimizing distributed training deployment in heterogeneous GPU clusters X Yi, S Zhang, Z Luo, G Long, L Diao, C Wu, Z Zheng, J Yang, W Lin Proceedings of the 16th International Conference on emerging Networking …, 2020 | 20 | 2020 |
| Fast training of deep learning models over multiple gpus X Yi, Z Luo, C Meng, M Wang, G Long, C Wu, J Yang, W Lin Proceedings of the 21st International middleware conference, 105-118, 2020 | 16 | 2020 |
| Joint model and data adaptation for cloud inference serving J Jiang, Z Luo, C Hu, Z He, Z Wang, S Xia, C Wu 2021 IEEE Real-Time Systems Symposium (RTSS), 279-289, 2021 | 12 | 2021 |
| Efficient Pipeline Planning for Expedited Distributed DNN Training Z Luo, X Yi, G Long, S Fan, C Wu, J Yang, W Lin IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2022 | 10 | 2022 |
| Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration Z Luo, Y Bao, C Wu IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2022 | 6 | 2022 |
| Online cloud resource allocation and pricing with server speed scaling Z Luo, Z Li, C Wu 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 3 | 2018 |
| Two-level Graph Caching for Expediting Distributed GNN Training Z Zhang, Z Luo, C Wu IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 1 | 2023 |
| Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning B Du, J Liu, Z Luo, C Wu, Q Zhang, H Jin IEEE International Conference on Computer Communications (INFOCOM) 2024 (20 …, 2024 | | 2024 |
Chuan WuProfessor of Computer Science, The University of Hong KongVerified email at cs.hku.hk
