Ziyue Luo

Ziyue Luo

Professor

School of Cyber Science and Engineering
Wuhan University

Contact

Office: Room C509, School of Cyber Science and Engineering
Wuhan University, Wuhan, China

Portrait of Ziyue Luo

About

I am a professor in the School of Cyber Science and Engineering at Wuhan University. Previously, I was a postdoctoral researcher and then a research scientist at The Ohio State University, working with Ness B. Shroff and Jia (Kevin) Liu.

I received my Ph.D. in Computer Science from The University of Hong Kong, advised by Chuan Wu, and my B.E. from Wuhan University, advised by Zongpeng Li.

Research

My research focuses on optimizing distributed systems, with an emphasis on efficient resource scheduling. Recently, I have been working on the analysis and optimization of distributed machine learning systems.

Publications

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2026

  1. Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites

    Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, and 27 coauthorsShow all

    Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Sundararajan Srinivasan, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik Chowdhury, Gauri Joshi, Yingbin Liang, Robert Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Haibo Yang, Aylin Yener, Jia Liu

    in Proc. of the 3rd Workshop on Networks for AI Computing (NAIC), co-located with ACM SIGCOMM 2026, Denver, CO, USA, August 17, 2026, to appear.

2025

  1. PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization

    Jun Liu, Bingqian Du, Ziyue Luo, Sitian Lu, Qiankun Zhang, Hai Jin

    in Proceedings of the VLDB Endowment, vol. 18, no. 8, pp. 2722-2734, 2025.

  2. SIEVE: A Scalable and General Purpose Data Filtering System for Large Language Models

    Jifan Zhang, Ziyue Luo, Jia Liu, Ness B. Shroff, Robert D. Nowak

    in Proc. of ICML 2025 Workshop on DataWorld: Unifying Data Curation Frameworks Across Domains, Vancouver, Canada, July 19, 2025.

  3. Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

    Zhiyao Zhang, Myeung Suk Oh, FNU Hairi, Ziyue Luo, Alvaro Velasquez, and Jia Liu

    in ICML, PMLR, vol. 267, pp. 75853-75877, Vancouver, Canada, July 13-19, 2025.

  4. Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters

    Ziyue Luo, Jia Liu, Myungjin Lee, Ness B. Shroff

    in IEEE INFOCOM, pp. 1-10, London, United Kingdom, May 19-22, 2025.

2024

  1. Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration in Heterogeneous Systems

    Ziyue Luo, Yixin Bao, Chuan Wu

    in IEEE/ACM Transactions on Networking, vol. 32, no. 5, pp. 3715-3729, October 2024.

  2. Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning

    Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin

    in IEEE INFOCOM, Vancouver, Canada, May 20-23, 2024.

  3. DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines

    Ye Tian, Zhen Jia, Ziyue Luo, Yida Wang, Chuan Wu

    in the Seventh Conference on Machine Learning and Systems (MLSys), Santa Clara, USA, May 13-16, 2024.

2023

  1. Two-level Graph Caching for Expediting Distributed GNN Training

    Zhe Zhang, Ziyue Luo, Chuan Wu

    in IEEE INFOCOM, New York, USA, May 17-20, 2023.

2022

  1. Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration

    Ziyue Luo, Yixin Bao, Chuan Wu

    in IEEE INFOCOM, online, May 2-5, 2022.

  2. Efficient Pipeline Planning for Expedited Distributed DNN Training

    Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Wei Lin

    in IEEE INFOCOM, online, May 2-5, 2022.

2021

  1. Joint Model and Data Adaptation for Cloud Inference Serving

    Jingyan Jiang, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia, Chuan Wu

    in the 42th IEEE Real-time Systems Symposuim (RTSS), Dortmund, Germany, December 7-10, 2021.

2020

  1. Fast Training of Deep Learning Models over Multiple GPUs

    Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin

    in ACM/IFIP Middleware, Delft, The Netherlands, December 7-11, 2020.

  2. Optimizing Distributed Training Deployment in Heterogeneous GPU Clusters

    Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin

    in ACM CoNEXT, Barcelona, Spain, December 1-4, 2020.

  3. An Online Algorithm for VNF Service Chain Scaling in Datacenters

    Ziyue Luo, Chuan Wu

    in IEEE/ACM Transactions on Networking, vol. 28, No. 3, pp. 1061-1073, June 2020.

2019

  1. Scaling Geo-distributed Network Function Chains: A Prediction and Learning Framework

    Ziyue Luo, Chuan Wu, Zongpeng Li, Wei Zhou

    in IEEE Journal on Selected Areas in Communications (JSAC) Special issue on Network Softwarization & Enablers, vol. 37, no. 8, pp. 1838-1850, August 2019.

2018

  1. Online Cloud Resource Allocation and Pricing with Server Speed Scaling

    Ziyue Luo, Zongpeng Li, Chuan Wu

    in IEEE ICC 2018, Kansas City, MO, USA, May 20-24, 2018.