Xucheng Ye

NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration

Weisheng Zhao, Youguang Zhang, Xiaotao Jia, 2022, Science China Information Sciences.

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

Weisheng Zhao, Junyu Luo, Xucheng Ye, 2021, CIKM.

Accelerating CNN Training by Pruning Activation Gradients

Jianlei Yang, Yiran Chen, Junyu Luo, 2019, ECCV.

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Junyu Luo, Yiran Chen, Xingzhou Cheng, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

S2 Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks pdf

Weisheng Zhao, Xingzhou Cheng, Xucheng Ye, 2021, IEEE Transactions on Computers.