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2020 – today
- 2024
[c7]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI 2024: 16838-16847- [c6]Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR 2024 - [c5]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. IJCNN 2024: 1-8 - [i8]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR abs/2402.15969 (2024) - [i7]Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR abs/2402.17318 (2024) - [i6]Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan:
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. CoRR abs/2408.14917 (2024) - [i5]Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan:
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. CoRR abs/2410.04785 (2024) - 2023
- [j5]Chenxiang Ma
, Rui Yan, Zhaofei Yu, Qiang Yu:
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53(5): 3363-3375 (2023) - [i4]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR abs/2307.07231 (2023) - [i3]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR abs/2308.13250 (2023) - 2022
- [j4]Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1134-1146 (2022) - [j3]Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan:
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1714-1726 (2022) - [j2]Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan:
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3387-3399 (2022) - 2021
- [j1]Shiming Song, Chenxiang Ma, Wei Sun, Junhai Xu, Jianwu Dang, Qiang Yu:
Efficient learning with augmented spikes: A case study with image classification. Neural Networks 142: 205-212 (2021) - [c4]Chenxiang Ma, Junhai Xu, Qiang Yu:
A Deep Spike Learning through Critical Time Points. IJCNN 2021: 1-8 - [c3]Chenxiang Ma, Junhai Xu, Qiang Yu:
Temporal Dependent Local Learning for Deep Spiking Neural Networks. IJCNN 2021: 1-7 - 2020
- [c2]Shiming Song, Chenxiang Ma, Qiang Yu:
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. ICONIP (3) 2020: 208-219 - [c1]Chenxiang Ma, Qiang Yu:
AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks. SSCI 2020: 2002-2007 - [i2]Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan:
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. CoRR abs/2005.03231 (2020) - [i1]Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning with Augmented Spikes. CoRR abs/2005.04820 (2020)
Coauthor Index
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