GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. - Xingting Yao; Fanrong Li; Zitao Mo; Jian Cheng 001 (NeurIPS, 2022)

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World. - Xingting Yao; Qinghao Hu 001; Tielong Liu; Zitao Mo; Zeyu Zhu; Zhengyang Zhuge; Jian Cheng 001 (CoRR, 2023)

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. - Zhengyang Zhuge; Peisong Wang; Xingting Yao; Jian Cheng 001 (ICML, 2024)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. - Xingting Yao; Qinghao Hu 001; Fei Zhou; Tielong Liu; Gang Li 015; Peisong Wang; Jian Cheng 001 (CoRR, 2025)