FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning. - Ruixin Mao; Lin Tang; Zihan Xia; Zhaomin Zhang; Aoyu Shen; Yu Long 005; Jinhong Guo; Yunpeng He; Lai Zhang; Shujuan Wang; Liang Zhou; Liang Chang 002; et al. (VLSI Technology and Circuits, 2024)

CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics. - Ruixin Mao; Aoyu Shen; Lin Tang; Jun Zhou 017 (AAAI, 2025)