High PE Utilization CNN Accelerator with Channel Fusion Supporting Pattern-Compressed Sparse Neural Networks. - Jingyu Wang 004; Songming Yu; Jinshan Yue; Zhe Yuan; Zhuqing Yuan; Huazhong Yang; Xueqing Li 002; Yongpan Liu (DAC, 2020)

High Area/Energy Efficiency RRAM CNN Accelerator with Kernel-Reordering Weight Mapping Scheme Based on Pattern Pruning. - Songming Yu; Yongpan Liu; Lu Zhang; Jingyu Wang 004; Jinshan Yue; Zhuqing Yuan; Xueqing Li 002; Huazhong Yang (CoRR, 2020)

High Area/Energy Efficiency RRAM CNN Accelerator with Pattern-Pruning-Based Weight Mapping Scheme. - Songming Yu; Lu Zhang; Jingyu Wang 004; Jinshan Yue; Zhuqing Yuan; Xueqing Li 002; Huazhong Yang; Yongpan Liu (NVMSA, 2021)

PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs. - Jingyu Wang 004; Songming Yu; Zhuqing Yuan; Jinshan Yue; Zhe Yuan; Ruoyang Liu; Yanzhi Wang; Huazhong Yang; Xueqing Li 002; Yongpan Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A 5.6-89.9TOPS/W Heterogeneous Computing-in-Memory SoC with High-Utilization Producer-Consumer Architecture and High-Frequency Read-Free CIM Macro. - Jinshan Yue; Mingtao Zhan; Zi Wang; Yifan He 002; Yaolei Li; Songming Yu; Wenyu Sun; Lu Jie 001; Chunmeng Dou; Xueqing Li 002; Nan Sun 001; Huazhong Yang; et al. (VLSI Technology and Circuits, 2023)

A Heterogeneous Microprocessor Based on All-Digital Compute-in-Memory for End-to-End AIoT Inference. - Songming Yu; Yifan He 003; Hongyang Jia; Wenyu Sun; Mufeng Zhou; Luchang Lei; Wentao Zhao; Guofu Ma; Huazhong Yang; Yongpan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Heterogeneous Microprocessor for Intermittent AI Inference Using Nonvolatile-SRAM-Based Compute-In-Memory. - Tongda Wu; Luchang Lei; Yifan He 003; Wenbin Jia; Songming Yu; Yuxuan Huang; Hongyang Jia; Huazhong Yang; Yongpan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2024)