Mingqing Xiao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Partial Occlusion

Online Training

Object Classification

Top Venues

Neural Networks

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Zongpeng Zhang, Taoyun Ji, Mingqing Xiao, Wen Wang, Guojing Yu, Tong Lin, Yuwu Jiang, Xiaohua Zhou, Zhouchen Lin
Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation. Biomed. Signal Process. Control. 89 (2024)
Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. CoRR (2024)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks. CoRR (2024)
Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin
Sampling complex topology structures for spiking neural networks. Neural Networks 172 (2024)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. ICLR (2024)
Zhoutong Wu, Mingqing Xiao, Cong Fang, Zhouchen Lin
Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. CoRR (2024)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. 131 (1) (2023)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. CoRR (2023)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
SPIDE: A purely spike-based method for training feedback spiking neural networks. Neural Networks 161 (2023)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. CoRR (2023)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. ICCV (2023)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Online Training Through Time for Spiking Neural Networks. CoRR (2022)
Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin
Training Neural Networks by Lifted Proximal Operator Machines. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CoRR (2022)
Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Training much deeper spiking neural networks with a small number of time-steps. Neural Networks 153 (2022)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CVPR (2022)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
Invertible Rescaling Network and Its Extensions. CoRR (2022)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Online Training Through Time for Spiking Neural Networks. NeurIPS (2022)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS (2021)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. CoRR (2021)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
Invertible Image Rescaling. CoRR (2020)
Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu
Modeling Lost Information in Lossy Image Compression. CoRR (2020)
Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille
TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. ECCV Workshops (2) (2020)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
Invertible Image Rescaling. ECCV (1) (2020)
Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. CoRR (2019)