CCP: Configuration Context based Prefetching to Improve Coarse-Grained Reconfigurable Array Performance. - Chen Yang 005; Jia Hou; Yizhou Wang 004; Qi Zhou; Li Geng (ICECS, 2019)

A Fully Quantitative Scheme With Fine-grained Tuning Method For Lightweight CNN Acceleration. - Chen Yang 005; Bowen Li; Yizhou Wang 004 (ICECS, 2019)

WRA: A 2.2-to-6.3 TOPS Highly Unified Dynamically Reconfigurable Accelerator Using a Novel Winograd Decomposition Algorithm for Convolutional Neural Networks. - Chen Yang 005; Yizhou Wang 004; Xiaoli Wang; Li Geng (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

CRP: Context-directed Replacement Policy to Improve Cache Performance for Coarse-Grained Reconfigurable Arrays. - Chen Yang 005; Jia Hou; Yizhou Wang 004; Li Geng (ICECS, 2020)

A Stride-Based Convolution Decomposition Method to Stretch CNN Acceleration Algorithms for Efficient and Flexible Hardware Implementation. - Chen Yang 005; Yizhou Wang 004; Xiaoli Wang; Li Geng (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

RNA: A Flexible and Efficient Accelerator Based on Dynamically Reconfigurable Computing for Multiple Convolutional Neural Networks. - Chen Yang 005; Jia Hou; Yizhou Wang 004; Haibo Zhang; Xiaoli Wang; Li Geng (J. Circuits Syst. Comput., 2022)

LSTM-CRP: Algorithm-Hardware Co-Design and Implementation of Cache Replacement Policy Using Long Short-Term Memory. - Yizhou Wang 004; Yishuo Meng; Jiaxing Wang; Chen Yang 005 (Big Data Cogn. Comput., 2024)