Chuan Wu 0001 - researchr alias

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Viewing Publication 1 - 26 from 26

2024

An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement LearningTianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu 0004, Chuan Wu 0001, Xu Chen 0004. tpds, 35(5):720-731, May 2024. [doi]

2023

Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous WorkloadsYixin Bao, Yanghua Peng, Chuan Wu 0001. ton, 31(2):634-647, April 2023. [doi]

SP-GNN: Learning structure and position information from graphsYangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu 0001, Yibo Zhu. NN, 161:505-514, April 2023. [doi]

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning ParadigmYihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu 0001, Di Wu 0001, Xu Chen 0004. tpds, 34(12):3073-3089, December 2023. [doi]

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and PreprocessingTianfeng Liu, Yangrui Chen, Dan Li 0001, Chuan Wu 0001, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo. NSDI 2023: 103-118 [doi]

Towards Robust Graph Incremental Learning on Evolving GraphsJunwei Su, Difan Zou, Zijun Zhang, Chuan Wu 0001. icml 2023: 32728-32748 [doi]

Expediting Distributed DNN Training With Device Topology-Aware Graph DeploymentShiwei Zhang, Xiaodong Yi 0001, Lansong Diao, Chuan Wu 0001, Siyu Wang, Wei Lin 0016. tpds, 34(4):1281-1293, April 2023. [doi]

Two-level Graph Caching for Expediting Distributed GNN TrainingZhe Zhang, Ziyue Luo, Chuan Wu 0001. infocom 2023: 1-10 [doi]

Swift: Expedited Failure Recovery for Large-Scale DNN TrainingYuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu 0001. ppopp 2023: 447-449 [doi]

Online Scheduling Algorithm for Heterogeneous Distributed Machine Learning JobsRuiting Zhou, Jinlong Pang, Qin Zhang, Chuan Wu 0001, Lei Jiao 0002, Yi Zhong, Zongpeng Li. tcc, 11(2):1514-1529, April - June 2023. [doi]

Caching in Dynamic Environments: A Near-Optimal Online Learning ApproachShiji Zhou, Zhi Wang 0001, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu 0001, Wenwu Zhu 0001. tmm, 25:792-804, 2023. [doi]

2022

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor FusionXiaodong Yi 0001, Shiwei Zhang, Lansong Diao, Chuan Wu 0001, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin 0016. tpds, 33(12):4694-4706, 2022. [doi]

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN TrainingYangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu 0001, Yibo Zhu. nips 2022: [doi]

Federated Graph Learning with Periodic Neighbour SamplingBingqian Du, Chuan Wu 0001. iwqos 2022: 1-10 [doi]

Differentially private recommender system with variational autoencodersLe Fang, Bingqian Du, Chuan Wu 0001. kbs, 250:109044, 2022. [doi]

dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN TrainingHanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu 0001, Yibo Zhu, Haibin Lin, Chuanxiong Guo. mlsys 2022: [doi]

Optimizing Task Placement and Online Scheduling for Distributed GNN Training AccelerationZiyue Luo, Yixin Bao, Chuan Wu 0001. infocom 2022: 890-899 [doi]

Efficient Pipeline Planning for Expedited Distributed DNN TrainingZiyue Luo, Xiaodong Yi 0001, Guoping Long, Shiqing Fan, Chuan Wu 0001, Jun Yang, Wei Lin 0016. infocom 2022: 340-349 [doi]

Toward Efficient Online Scheduling for Distributed Machine Learning SystemsMenglu Yu, Jia Liu 0002, Chuan Wu 0001, Bo Ji 0001, Elizabeth S. Bentley. tnse, 9(4):1951-1969, 2022. [doi]

Accelerating large-scale distributed neural network training with SPMD parallelismShiwei Zhang, Lansong Diao, Chuan Wu 0001, Siyu Wang, Wei Lin 0016. CLOUD 2022: 403-418 [doi]

Large-Scale Machine Learning Cluster Scheduling via Multi-Agent Graph Reinforcement LearningXiaoyang Zhao, Chuan Wu 0001. tnsm, 19(4):4962-4974, December 2022. [doi]

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