A unified OLAP/OLTP big data processing framework in telecom industry. - Xin Lu; Fei Su; Haozhang Liu; Weiwei Chen; Xingzhou Cheng (ISCIT, 2016)

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. - Pengcheng Dai; Jianlei Yang 001; Xucheng Ye; Xingzhou Cheng; Junyu Luo 002; Linghao Song; Yiran Chen 001; Weisheng Zhao (DAC, 2020)

TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture. - Xueyan Wang; Jianlei Yang 001; Yinglin Zhao; Yingjie Qi; Meichen Liu; Xingzhou Cheng; Xiaotao Jia; Xiaoming Chen; Gang Qu 001; Weisheng Zhao (DAC, 2020)

S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. - Jianlei Yang 001; Wenzhi Fu; Xingzhou Cheng; Xucheng Ye; Pengcheng Dai; Weisheng Zhao (CoRR, 2021)

S2 Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. - Jianlei Yang 001; Wenzhi Fu; Xingzhou Cheng; Xucheng Ye; Pengcheng Dai; Weisheng Zhao (IEEE Trans. Computers, 2022)

NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration. - Yinglin Zhao; Jianlei Yang 001; Bing Li; Xingzhou Cheng; Xucheng Ye; Xueyan Wang; Xiaotao Jia; Zhaohao Wang; Youguang Zhang; Weisheng Zhao (Sci. China Inf. Sci., 2023)