A High-accurate Multi-objective Ensemble Exploration Framework for Design Space of CPU Microarchitecture. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Xiaochun Ye; Dongrui Fan (ACM Great Lakes Symposium on VLSI, 2023)

A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Haoran Dang; Xiaochun Ye; Dongrui Fan (ICCAD, 2023)

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)

Characterizing and Understanding HGNN Training on GPUs. - Dengke Han; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Ninghui Sun (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)

MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Xin Liu 073; Wenming Li; Xiaochun Ye; Dongrui Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Characterizing and Understanding HGNN Training on GPUs. - Dengke Han; Mingyu Yan; Xiaochun Ye; Dongrui Fan (ACM Trans. Archit. Code Optim., 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)

TLV-HGNN: Thinking Like a Vertex for Memory-efficient HGNN Inference. - Dengke Han; Duo Wang; Mingyu Yan; Xiaochun Ye; Dongrui Fan (CoRR, 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., 2025)