Xiaode Liu - RankMe

30 papers A* 11Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Model for 2.5D-Assisted Future Urban Remote Sensing Image Synthesis. IEEE Signal Process. Lett. Yuhan Zhang, Jie Zhou, Weihang Peng, Xiaode Liu, Yuanpei Chen
2025	J	`jnl`	Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method. Complex Intell. Syst. Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma
2025	J	`jnl`	PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization. Neural Networks Yufei Guo, Zecheng Hao, Jiahang Shao, Jie Zhou, Xiaode Liu, Xin Tong, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Zhe Ma
2025	A*	`conf`	ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. ICML Yufei Guo, Yuhan Zhang, Jie Zhou, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma
2025	J	`jnl`	ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. CoRR Yufei Guo, Yuhan Zhang, Zhou Jie, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma
2025	A*	`conf`	Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. CVPR Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma
2025	J	`jnl`	Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. CoRR Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma
2024	J	`jnl`	A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics. IEEE Trans. Instrum. Meas. Xianchao Xiu, Yuhan Zhang, Yufei Guo, Xiaode Liu, Ying Yang
2024	A*	`conf`	EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature. NeurIPS Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma
2024	A*	`conf`	Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. AAAI Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma
2024	J	`jnl`	Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation. IEEE Signal Process. Lett. Jingyu Lin, Yongrong Wu, Zeyu Wang, Xiaode Liu, Yufei Guo
2024	A*	`conf`	Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks. NeurIPS Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma
2024	J	`jnl`	Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks. CoRR Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma
2024	A*	`conf`	Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. AAAI Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma
2023	J	`jnl`	Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization. CoRR Yufei Guo, Weihang Peng, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xuhui Huang, Zhe Ma
2023	J	`jnl`	Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization. Pattern Recognit. Yufei Guo, Weihang Peng, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xuhui Huang, Zhe Ma
2023	A*	`conf`	Membrane Potential Batch Normalization for Spiking Neural Networks. ICCV Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma
2023	J	`jnl`	Membrane Potential Batch Normalization for Spiking Neural Networks. CoRR Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma
2023	A*	`conf`	RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. ICCV Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma
2023	J	`jnl`	RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. CoRR Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma
2023	J	`jnl`	Reducing Information Loss for Spiking Neural Networks. CoRR Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma
2023	A*	`conf`	Spiking PointNet: Spiking Neural Networks for Point Clouds. NeurIPS Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo
2023	J	`jnl`	Spiking PointNet: Spiking Neural Networks for Point Clouds. CoRR Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo
2023	J	`jnl`	Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. CoRR Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma
2022	A*	`conf`	IM-Loss: Information Maximization Loss for Spiking Neural Networks. NeurIPS Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma
2022	—	`conf`	Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. ECCV (12) Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma
2022	J	`jnl`	Real Spike: Learning Real-valued Spikes for Spiking Neural Networks. CoRR Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma
2022	A*	`conf`	RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. CVPR Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang
2022	—	`conf`	Reducing Information Loss for Spiking Neural Networks. ECCV (11) Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma
2017	—	`conf`	Modelling and Analysis of the Cerebrospinal Fluid Flow in the Spinal Cord. LSMS/ICSEE (1) Xiaode Liu, Danmei Luo, Panpan Hu, Miao Yu, Qiguo Rong