Deep Spiking Convolutional Neural Networks for Programmable Neuro-synaptic System. - Chenglong Zou; Xin'an Wang; Boxing Xu; Yisong Kuang; Xiaoxin Cui (ASICON, 2019)

A fully asynchronous QDI mesh router based on 28nm standard cells. - Qingyun Zou; Xiaoxin Cui; Yi Zhong; Zhenhui Dai; Yisong Kuang (ASICON, 2021)

A 28-nm 0.34-pJ/SOP Spike-Based Neuromorphic Processor for Efficient Artificial Neural Network Implementations. - Yisong Kuang; Xiaoxin Cui; Yi Zhong; Kefei Liu 002; Chenglong Zou; Zhenhui Dai; Dunshan Yu; Yuan Wang 001; Ru Huang 001 (ISCAS, 2021)

A Spike-Event-Based Neuromorphic Processor with Enhanced On-Chip STDP Learning in 28nm CMOS. - Yi Zhong; Xiaoxin Cui; Yisong Kuang; Kefei Liu 002; Yuan Wang 001; Ru Huang 001 (ISCAS, 2021)

28nm asynchronous area-saving AES processor with high Common and Machine learning side-channel attack resistance. - Qingyun Zou; Xiaoxin Cui; Zhenhui Dai; Yisong Kuang; Yi Zhong; Chenglong Zou; Xiaole Cui (IEICE Electron. Express, 2021)

A 64K-Neuron 64M-1b-Synapse 2.64pJ/SOP Neuromorphic Chip With All Memory on Chip for Spike-Based Models in 65nm CMOS. - Yisong Kuang; Xiaoxin Cui; Yi Zhong; Kefei Liu 002; Chenglong Zou; Zhenhui Dai; Yuan Wang 001; Dunshan Yu; Ru Huang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Full-Neuron Memory Model Designed for Neuromorphic Systems. - Kefei Liu 002; Xiaoxin Cui; Chenglong Zou; Yisong Kuang; Yi Zhong; Kanglin Xiao; Yuan Wang 001 (AICAS, 2022)

A Hybrid Spiking Recurrent Neural Network on Hardware for Efficient Emotion Recognition. - Chenglong Zou; Xiaoxin Cui; Yisong Kuang; Yuan Wang 001; Xinan Wang (AICAS, 2022)

An Event-driven Spiking Neural Network Accelerator with On-chip Sparse Weight. - Yisong Kuang; Xiaoxin Cui; Chenglong Zou; Yi Zhong; Zhenhui Dai; Zilin Wang; Kefei Liu 002; Dunshan Yu; Yuan Wang 001 (ISCAS, 2022)

ESSA: Design of a Programmable Efficient Sparse Spiking Neural Network Accelerator. - Yisong Kuang; Xiaoxin Cui; Zilin Wang; Chenglong Zou; Yi Zhong; Kefei Liu 002; Zhenhui Dai; Dunshan Yu; Yuan Wang 001; Ru Huang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

A Spiking Neural Network Accelerator based on Ping-Pong Architecture with Sparse Spike and Weight. - Zilin Wang; Yi Zhong; Xiaoxin Cui; Yisong Kuang; Yuan Wang 001 (ISCAS, 2023)

Real-Time Target Tracking System With Spiking Neural Networks Implemented on Neuromorphic Chips. - Kefei Liu 002; Xiaoxin Cui; Xiang Ji; Yisong Kuang; Chenglong Zou; Yi Zhong; Kanglin Xiao; Yuan Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

How the Brain Achieves Real-Time Vision: A Spiking Position Perception Model. - Kefei Liu 002; Jingjie Shang; Xiaoxin Cui; Chenglong Zou; Yisong Kuang; Kanglin Xiao; Yi Zhong; Yuan Wang 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

PAICORE: A 1.9-Million-Neuron 5.181-TSOPS/W Digital Neuromorphic Processor With Unified SNN-ANN and On-Chip Learning Paradigm. - Yi Zhong; Yisong Kuang; Kefei Liu 002; Zilin Wang; Shuo Feng; Guang Chen; Youming Yang 002; Xiuping Cui; Qiankun Wang; Jian Cao 002; Song Jia; Yun Liang 001; et al. (IEEE J. Solid State Circuits, 2025)