In-MRAM Computing Elements with Single-Step Convolution and Fully Connected for BNN/TNN. - Zhong-Jian Bian; Yanan Guo 004; Bo Liu 019; Hao Cai 001 (ICTA, 2021)

Cryogenic In-MRAM Computing. - Yaoru Hou; We Ge; Yanan Guo 004; Lirida A. B. Naviner; You Wang 002; Bo Liu 019; Jun Yang 006; Hao Cai 001 (NANOARCH, 2021)

Proposal of Analog In-Memory Computing With Magnified Tunnel Magnetoresistance Ratio and Universal STT-MRAM Cell. - Hao Cai 001; Yanan Guo 004; Bo Liu 019; Mingyang Zhou 002; Juntong Chen; Xinning Liu; Jun Yang 006 (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

A 28nm 2Mb STT-MRAM Computing-in-Memory Macro with a Refined Bit-Cell and 22.4 - 41.5TOPS/W for AI Inference. - Hao Cai 001; Zhongjian Bian; Yaoru Hou; Yongliang Zhou; Jia-Le Cui; Yanan Guo 004; Xiaoyun Tian; Bo Liu 019; Xin Si; Zhen Wang 019; Jun Yang 006; Weiwei Shan (ISSCC, 2023)

Sparsity-Oriented MRAM-Centric Computing for Efficient Neural Network Inference. - Jia-Le Cui; Yanan Guo 004; Juntong Chen; Bo Liu 019; Hao Cai 001 (IEEE Trans. Emerg. Top. Comput., 2024)