20 citations · 58 across the 27 of their papers we have counts for
5 papers · 1 filter
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture
Xueyan Wang, Jianlei Yang, Yinglin Zhao +5
Triangles are the basic substructure of networks and triangle counting (TC) has been a fundamental graph computing problem in numerous fields such as social network analysis. Never…
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update
Junyu Luo, Jianlei Yang, Xucheng Ye +2
Federated learning aims to protect users' privacy while performing data analysis from different participants. However, it is challenging to guarantee the training efficiency on het…
S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks
Jianlei Yang, Wenzhi Fu, Xingzhou Cheng +3
Convolutional neural networks (CNNs) have achieved great success in performing cognitive tasks. However, execution of CNNs requires a large amount of computing resources and genera…
RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models
Xin Guo, Jianlei Yang, Haoyi Zhou +2
Pre-trained language models achieve outstanding performance in NLP tasks. Various knowledge distillation methods have been proposed to reduce the heavy computation and storage requ…
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms
Ao Zhou, Jianlei Yang, Yeqi Gao +7
Graph neural networks (GNN) have achieved state-of-the-art performance on various industrial tasks. However, the poor efficiency of GNN inference and frequent Out-Of-Memory (OOM) p…