Modelling and Analysis of the Cerebrospinal Fluid Flow in the Spinal Cord. - Xiaode Liu; Danmei Luo; Panpan Hu; Miao Yu; Qiguo Rong (LSMS/ICSEE (1), 2017)

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. - Yufei Guo; Xinyi Tong 001; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; Zhe Ma 001; Xuhui Huang (CVPR, 2022)

Reducing Information Loss for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Liwen Zhang 001; YingLei Wang; Xiaode Liu; Xinyi Tong 001; Yuanyuan Ou; Xuhui Huang; Zhe Ma 001 (ECCV (11), 2022)

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. - Yufei Guo; Liwen Zhang 001; Yuanpei Chen; Xinyi Tong 001; Xiaode Liu; YingLei Wang; Xuhui Huang; Zhe Ma 001 (ECCV (12), 2022)

IM-Loss: Information Maximization Loss for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; YingLei Wang; Xuhui Huang; Zhe Ma 001 (NeurIPS, 2022)

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Liwen Zhang 001; Weihang Peng 001; Yuhan Zhang 006; Xuhui Huang; Zhe Ma 001 (ICCV, 2023)

Membrane Potential Batch Normalization for Spiking Neural Networks. - Yufei Guo; Yuhan Zhang 006; Yuanpei Chen; Weihang Peng 001; Xiaode Liu; Liwen Zhang 001; Xuhui Huang; Zhe Ma 001 (ICCV, 2023)

Spiking PointNet: Spiking Neural Networks for Point Clouds. - Dayong Ren; Zhe Ma 001; Yuanpei Chen; Weihang Peng 001; Xiaode Liu; Yuhan Zhang 006; Yufei Guo (NeurIPS, 2023)

Reducing Information Loss for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; Xinyi Tong 001; Yuanyuan Ou; Xuhui Huang; Zhe Ma 001 (CoRR, 2023)

Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization. - Yufei Guo; Weihang Peng 001; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; Xuhui Huang; Zhe Ma 001 (Pattern Recognit., 2023)

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Xiaode Liu; Weihang Peng 001; Yuhan Zhang 006; Xuhui Huang; Zhe Ma 001 (AAAI, 2024)

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. - Yuhan Zhang 006; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yufei Guo; Xuhui Huang; Zhe Ma 001 (AAAI, 2024)

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature. - Yufei Guo; Weihang Peng 001; Xiaode Liu; Yuanpei Chen; Yuhan Zhang 006; Xin Tong; Zhou Jie; Zhe Ma 001 (NeurIPS, 2024)

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Zecheng Hao; Weihang Peng 001; Zhou Jie; Yuhan Zhang 006; Xiaode Liu; Zhe Ma 001 (NeurIPS, 2024)

Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation. - Jingyu Lin; Yongrong Wu; Zeyu Wang 010; Xiaode Liu; Yufei Guo (IEEE Signal Process. Lett., 2024)

A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics. - Xianchao Xiu; Yuhan Zhang 006; Yufei Guo; Xiaode Liu; Ying Yang 002 (IEEE Trans. Instrum. Meas., 2024)

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yuhan Zhang 006; Zhe Ma 001 (CVPR, 2025)

PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization. - Yufei Guo; Zecheng Hao; Jiahang Shao; Jie Zhou; Xiaode Liu; Xin Tong; Yuhan Zhang 006; Yuanpei Chen; Weihang Peng 001; Zhe Ma 001 (Neural Networks, 2025)

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yuhan Zhang 006; Zhe Ma 001 (CoRR, 2025)

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. - Yufei Guo; Yuhan Zhang 006; Zhou Jie; Xiaode Liu; Xin Tong; Yuanpei Chen; Weihang Peng 001; Zhe Ma 001 (CoRR, 2025)