Heterojunction Diode Shielded SiC Split-Gate Trench MOSFET With Optimized Reverse Recovery Characteristic and Low Switching Loss. - Junjie An; Shengdong Hu (IEEE Access, 2019)

RRAM-based Analog-Weight Spiking Neural Network Accelerator with in-situ Learning for IoT Applications. - Jikai Lu; Jinsong Wei; Junjie An; Chenggao Zhang; Tuo Shi; Qi Liu 010 (ASICON, 2021)

Sparsity-Aware Clamping Readout Scheme for High Parallelism and Low Power Nonvolatile Computing-in-Memory Based on Resistive Memory. - Linfang Wang; Wang Ye; Junjie An; Chunmeng Dou; Qi Liu 010; Meng-Fan Chang; Ming Liu 022 (ISCAS, 2021)

RRAM Computing-in-Memory Using Transient Charge Transferring for Low-Power and Small-Latency AI Edge Inference. - Linfang Wang; Junjie An; Wang Ye; Weizeng Li; Hanghang Gao; Yangu He; Jianfeng Gao 005; Jinshan Yue; Lingyan Fan; Chunmeng Dou (APCCAS, 2022)

Recognizing the consciousness states of DOC patients by classifying EEG signal. - Junjie An; Chaoqun Weng; Chenghua Wang; Zhihua Huang (CISP-BMEI, 2022)

A 28-nm RRAM Computing-in-Memory Macro Using Weighted Hybrid 2T1R Cell Array and Reference Subtracting Sense Amplifier for AI Edge Inference. - Wang Ye; Linfang Wang; Zhidao Zhou; Junjie An; Weizeng Li; Hanghang Gao; Zhi Li 062; Jinshan Yue; Hongyang Hu; Xiaoxin Xu; Jianguo Yang; Jing Liu 035; et al. (IEEE J. Solid State Circuits, 2023)

Multicore Spiking Neuromorphic Chip in 180-nm With ReRAM Synapses and Digital Neurons. - Hao Jiang 024; Jikai Lu; Chenggao Zhang; Shuangzhu Tang; Junjie An; Lingli Cheng; Jian Lu; Jinsong Wei; Keji Zhou; Xumeng Zhang; Tuo Shi; Qi Liu 010 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Write-Verify-Free MLC RRAM Using Nonbinary Encoding for AI Weight Storage at the Edge. - Junjie An; Zhidao Zhou; Linfang Wang; Wang Ye; Weizeng Li; Hanghang Gao; Zhi Li 062; Jinghui Tian; Yan Wang; Hongyang Hu; Jinshan Yue; Lingyan Fan; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2024)