Wang Ye

Design memristor-based computing-in-memory for AI accelerators considering the interplay between devices, circuits, and system

Jianfeng Gao, Qi Liu, Junjie An, 2023, Science China Information Sciences.

Enabling RRAM-Based Brain-Inspired Computation by Co-design of Device, Circuit, and System

Ming Liu, Qi Liu, Q. Luo, 2021, 2021 IEEE International Electron Devices Meeting (IEDM).

RRAM Computing-in-Memory Using Transient Charge Transferring for Low-Power and Small-Latency AI Edge Inference

Jianfeng Gao, Jinshan Yue, Junjie An, 2022, 2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS).

A 14nm 100Kb 2T1R Transpose RRAM with >150X resistance ratio enhancement and 27.95% reduction on energy-latency product using low-power near threshold read operation and fast data-line current stabling scheme

Qi Liu, Ming Liu, H. Lv, 2021, Symposium on VLSI Technology.