Mingqing Xiao

According to our database, Mingqing Xiao authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach.

Zhoutong Wu, Mingqing Xiao, Cong Fang, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Sampling complex topology structures for spiking neural networks.

Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin

Neural Networks, 2024

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

CoRR, 2024

Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation.

Zongpeng Zhang, Taoyun Ji, Mingqing Xiao, Wen Wang, Guojing Yu, Tong Lin, Yuwu Jiang, Xiaohua Zhou, Zhouchen Lin

Biomed. Signal Process. Control., 2024

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning.

Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SPIDE: A purely spike-based method for training feedback spiking neural networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Neural Networks, April, 2023

Invertible Rescaling Network and Its Extensions.

Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu

Int. J. Comput. Vis., 2023

Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks.

Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

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

2022

Training Neural Networks by Lifted Proximal Operator Machines.

Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Training much deeper spiking neural networks with a small number of time-steps.

Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

Neural Networks, 2022

Online Training Through Time for Spiking Neural Networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

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

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation.

Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

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

2021

Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Modeling Lost Information in Lossy Image Compression.

Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu

CoRR, 2020

Invertible Image Rescaling.

Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion.

Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion.

Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille

CoRR, 2019