Runzhen Xue

According to our database, Runzhen Xue authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration.

Runzhen Xue, Mingyu Yan, Dengke Han, Ziheng Xiao, Zhimin Tang, Xiaochun Ye, Dongrui Fan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2025

Accelerating GNN Training through Locality-aware Dropout and Merge.

Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan

CoRR, June, 2025

DropNaE: Alleviating irregularity for large-scale graph representation learning.

Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Songwen Pei, Lei Deng, Xiaochun Ye, Dongrui Fan

Neural Networks, 2025

LiGNN: Accelerating GNN Training Through Locality-Aware Dropout.

Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Xiaochun Ye, Dongrui Fan

Proceedings of the Design, Automation & Test in Europe Conference, 2025

MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration.

Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation.

Runzhen Xue, Dengke Han, Mingyu Yan, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan

IEEE Trans. Parallel Distributed Syst., July, 2024

Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need.

Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan

CoRR, 2024

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration.

Runzhen Xue, Mingyu Yan, Dengke Han, Zhimin Tang, Xiaochun Ye, Dongrui Fan

CoRR, 2024

ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation.

Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling.

Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2022

A Practical Highly Paralleled ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions.

Yuhao Zhang, Zhiping Jia, Hongchao Du, Runzhen Xue, Zhaoyan Shen, Zili Shao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Rethinking Efficiency and Redundancy in Training Large-scale Graphs.

Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan

CoRR, 2022