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Haiyang Lin
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Journal Articles
- 2023
- [j2]Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie:
A Comprehensive Survey on Distributed Training of Graph Neural Networks. Proc. IEEE 111(12): 1572-1606 (2023) - 2022
- [j1]Haiyang Lin, Mingyu Yan, Xiaocheng Yang, Mo Zou, Wenming Li, Xiaochun Ye, Dongrui Fan:
Characterizing and Understanding Distributed GNN Training on GPUs. IEEE Comput. Archit. Lett. 21(1): 21-24 (2022)
Conference and Workshop Papers
- 2024
- [c3]Zhilu Wang, Haiyang Lin, Qi Liu, Yonghong Zhang, Xiaodong Liu:
FedCST: Federated Learning on Heterogeneous Resource-constrained Devices Using Clustering and Split Training. QRS Companion 2024: 786-792 - 2022
- [c2]Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating datapath conflicts and design centralization in graph analytics acceleration. DAC 2022: 901-906 - 2021
- [c1]Haiyang Lin, Mingyu Yan, Duo Wang, Wenming Li, Xiaochun Ye, Zhimin Tang, Dongrui Fan:
Alleviating Imbalance in Synchronous Distributed Training of Deep Neural Networks. ISPA/BDCloud/SocialCom/SustainCom 2021: 405-412
Informal and Other Publications
- 2022
- [i3]Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. CoRR abs/2202.11343 (2022) - [i2]Haiyang Lin, Mingyu Yan, Xiaocheng Yang, Mo Zou, Wenming Li, Xiaochun Ye, Dongrui Fan:
Characterizing and Understanding Distributed GNN Training on GPUs. CoRR abs/2204.08150 (2022) - [i1]Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie:
A Comprehensive Survey on Distributed Training of Graph Neural Networks. CoRR abs/2211.05368 (2022)
Coauthor Index
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