Ziyue Luo
Ziyue Luo
Postdoctoral Researcher, Ohio State University
Verified email at - Homepage
Cited by
Cited by
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
An online algorithm for VNF service chain scaling in datacenters
Z Luo, C Wu
IEEE/ACM Transactions on Networking 28 (3), 1061-1073, 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
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
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
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
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
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
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
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
Y Tian, Z Jia, Z Luo, Y Wang, C Wu
Proceedings of Machine Learning and Systems 6, 101-113, 2024
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
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