Rethinking Efficiency and Redundancy in Training Large-scale Graphs. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Xiaochun Ye; Dongrui Fan (CoRR, 2022)

A Practical Highly Paralleled ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions. - Yuhao Zhang 006; Zhiping Jia; Hongchao Du; Runzhen Xue; Zhaoyan Shen; Zili Shao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

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 (DAC, 2024)

ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation. - Dengke Han; Meng Wu 006; Runzhen Xue; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 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)

Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 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 001; Xiaochun Ye; Dongrui Fan (IEEE Trans. Parallel Distributed Syst., 2024)

LiGNN: Accelerating GNN Training Through Locality-Aware Dropout. - Gongjian Sun; Mingyu Yan; Dengke Han; Runzhen Xue; Xiaochun Ye; Dongrui Fan (DATE, 2025)

DropNaE: Alleviating irregularity for large-scale graph representation learning. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Songwen Pei; Lei Deng 003; Xiaochun Ye; Dongrui Fan (Neural Networks, 2025)

MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 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, 2025)