Xiaode Liu

According to our database, Xiaode Liu authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics.

Xianchao Xiu, Yuhan Zhang, Yufei Guo, Xiaode Liu, Ying Yang

IEEE Trans. Instrum. Meas., 2024

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.

Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.

Yufei Guo, Weihang Peng, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xuhui Huang, Zhe Ma

Pattern Recognit., October, 2023

Reducing Information Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

CoRR, 2023

Spiking PointNet: Spiking Neural Networks for Point Clouds.

Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.

Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.

Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

IM-Loss: Information Maximization Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.

Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.

Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2017

Modelling and Analysis of the Cerebrospinal Fluid Flow in the Spinal Cord.

Xiaode Liu, Danmei Luo, Panpan Hu, Miao Yu, Qiguo Rong

Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017