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ORCIDMingyu Yan
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Publications
- 2025
[j36]Xin Liu
, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Songwen Pei, Lei Deng, Xiaochun Ye, Dongrui Fan:
DropNaE: Alleviating irregularity for large-scale graph representation learning. Neural Networks 183: 106930 (2025)- [j34]Runzhen Xue, Mingyu Yan, Dengke Han, Ziheng Xiao, Zhimin Tang, Xiaochun Ye, Dongrui Fan:
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(9): 3490-3503 (2025) - [c28]Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan:
MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. DAC 2025: 1-7 - [c27]Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Xiaochun Ye, Dongrui Fan:
LiGNN: Accelerating GNN Training Through Locality-Aware Dropout. DATE 2025: 1-7 - [i36]Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan:
MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. CoRR abs/2504.13568 (2025) - [i32]Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan:
Accelerating GNN Training through Locality-aware Dropout and Merge. CoRR abs/2506.21414 (2025) - 2024
- [j27]Runzhen Xue, Dengke Han, Mingyu Yan, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan:
HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation. IEEE Trans. Parallel Distributed Syst. 35(7): 1122-1138 (2024) - [c22]Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan:
GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling. DAC 2024: 4:1-4:6 - [c21]Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan:
ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation. Euro-Par (2) 2024: 91-106 - [i28]Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan:
GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling. CoRR abs/2404.04792 (2024) - [i26]Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan:
ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation. CoRR abs/2406.00988 (2024) - [i22]Runzhen Xue, Mingyu Yan, Dengke Han, Zhimin Tang, Xiaochun Ye, Dongrui Fan:
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration. CoRR abs/2408.15089 (2024) - [i21]Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan:
Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need. CoRR abs/2410.18368 (2024) - 2023
- [i19]Runzhen Xue, Dengke Han, Mingyu Yan, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan:
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation. CoRR abs/2307.12765 (2023) - 2022
- [i11]Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Rethinking Efficiency and Redundancy in Training Large-scale Graphs. CoRR abs/2209.00800 (2022)
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