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Mingqing Xiao
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Year
Invertible image rescaling
M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2082020
Training high-performance low-latency spiking neural networks by differentiation on spike representation
Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1142022
Training feedback spiking neural networks by implicit differentiation on the equilibrium state
M Xiao, Q Meng, Z Zhang, Y Wang, Z Lin
Advances in neural information processing systems 34, 14516-14528, 2021
522021
Online Training Through Time for Spiking Neural Networks
M Xiao, Q Meng, Z Zhang, D He, Z Lin
Advances in Neural Information Processing Systems, 2022
372022
TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion
M Xiao, A Kortylewski, R Wu, S Qiao, W Shen, A Yuille
European Conference on Computer Vision Workshops, 447-463, 2020
34*2020
Training much deeper spiking neural networks with a small number of time-steps
Q Meng, S Yan, M Xiao, Y Wang, Z Lin, ZQ Luo
Neural Networks 153, 254-268, 2022
252022
Modeling lost information in lossy image compression
Y Wang, M Xiao, C Liu, S Zheng, TY Liu
arXiv preprint arXiv:2006.11999, 2020
202020
Training neural networks by lifted proximal operator machines
J Li, M Xiao, C Fang, Y Dai, C Xu, Z Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3334-3348, 2020
182020
Towards Memory-and Time-Efficient Backpropagation for Training Spiking Neural Networks
Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo
International Conference on Computer Vision, 2023
142023
Invertible rescaling network and its extensions
M Xiao, S Zheng, C Liu, Z Lin, TY Liu
International Journal of Computer Vision 131 (1), 134-159, 2023
122023
SPIDE: A purely spike-based method for training feedback spiking neural networks
M Xiao, Q Meng, Z Zhang, Y Wang, Z Lin
Neural Networks 161, 9-24, 2023
102023
Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation
Z Zhang, T Ji, M Xiao, W Wang, G Yu, T Lin, Y Jiang, X Zhou, Z Lin
Biomedical Signal Processing and Control 89, 105664, 2024
12024
Sampling complex topology structures for spiking neural networks
S Yan, Q Meng, M Xiao, Y Wang, Z Lin
Neural Networks 172, 106121, 2024
2024
Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach
Z Wu, M Xiao, C Fang, Z Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2024
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
M Xiao, Q Meng, Z Zhang, D He, Z Lin
arXiv preprint arXiv:2402.11984, 2024
2024
Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network
Z Zhang, M Xiao, T Ji, Y Jiang, T Lin, X Zhou, Z Lin
Frontiers in Neuroscience 17, 1303564, 2024
2024
Forward Gradient Training of Spiking Neural Networks
M Xiao, Q Meng, Z Zhang, D He, Z Lin
2023
Supplementary Materials for: Towards Memory-and Time-Efficient Backpropagation for Training Spiking Neural Networks
Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo
Supplementary Materials for: Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
M Xiao, Q Meng, Z Zhang, Y Wang, Z Lin
Supplementary Materials for: Online Training Through Time for Spiking Neural Networks
M Xiao, Q Meng, Z Zhang, D He, Z Lin
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