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ORCIDYue Dai 0005
Person information
- affiliation: University of Pittsburgh, Computer Science Department, PA, USA
Other persons with the same name
- Yue Dai — disambiguation page
- Yue Dai 0001
![[0000-0001-5964-6509]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5964-6509")
— Fudan University, School of Management, Shanghai, China - Yue Dai 0002 — University of Eastern Finland, School of Computing, Joensuu, Finland
- Yue Dai 0003 — Beihang University, College of Software, Beijing, China
- Yue Dai 0004 (aka: Yue (Nancy) Dai 0004) — City University of Hong Kong, Department of Media and Communication, Hong Kong (and 1 more)
- Yue Dai 0006 — University of Western Australia, School of Physics, Mathematics and Computing, Perth, Australia (and 1 more)
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2020 – today
- 2025
[c4]Yue Dai, Xulong Tang, Youtao Zhang:
Cascade: A Dependency-aware Efficient Training Framework for Temporal Graph Neural Network. ASPLOS (2) 2025: 95-110- 2024
- [i3]Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang:
EdgeOL: Efficient in-situ Online Learning on Edge Devices. CoRR abs/2401.16694 (2024) - [i2]Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang:
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. CoRR abs/2401.16720 (2024) - [i1]Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang:
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. CoRR abs/2407.13126 (2024) - 2023
- [c3]Yue Dai, Youtao Zhang, Xulong Tang:
CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. HPCA 2023: 584-597 - [c2]Yue Dai, Xulong Tang, Youtao Zhang:
FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. ICCD 2023: 348-356 - [c1]Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang:
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. ICLR 2023 - 2022
- [j1]Yue Dai, Xulong Tang, Youtao Zhang:
An efficient segmented quantization for graph neural networks. CCF Trans. High Perform. Comput. 4(4): 461-473 (2022)
Coauthor Index
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