activity
20182022
most citedNAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration

20 citations · 50 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AR202220 cited

NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration

Yinglin Zhao, Jianlei Yang, Bing Li +7

The performance and efficiency of running large-scale datasets on traditional computing systems exhibit critical bottlenecks due to the existing "power wall" and "memory wall" prob…

cs.LG202110 cited

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…

cs.AR202119 cited

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…

cs.CL2021

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…

cs.LG20211 cited

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…

cond-mat.mtrl-sci2018

Intelligent Identification of Two-Dimensional Structure by Machine-Learning Optical Microscopy

Xiaoyang Lin, Zhizhong Si, Wenzhi Fu +9

Two-dimensional (2D) materials and their heterostructures, with wafer-scale synthesis methods and fascinating properties, have attracted numerous interest and triggered revolutions…