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ORCIDRenjie Liu 0001
Person information
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
Other persons with the same name
- Renjie Liu — disambiguation page
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2020 – today
- 2025
[j1]Renjie Liu
, Yichuan Wang, Xiao Yan, Haitian Jiang, Zhenkun Cai, Minjie Wang, Bo Tang, Jinyang Li:
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. Proc. ACM Manag. Data 3(1): 34:1-34:27 (2025)- [c3]Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf:
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. ICLR 2025 - [c2]Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng:
Adaptive Parallel Training for Graph Neural Networks. PPoPP 2025: 29-42 - [i3]Renjie Liu, Haitian Jiang, Xiao Yan, Bo Tang, Jinyang Li:
PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal. CoRR abs/2504.02112 (2025) - 2024
- [i2]Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li:
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. CoRR abs/2405.05231 (2024) - 2023
- [c1]Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li:
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP 2023: 562-578 - [i1]Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf:
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR abs/2310.12457 (2023)
Coauthor Index
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