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ORCIDMingqing Xiao 0002
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Mingqing Xiao 0001
![[0000-0003-3241-4112]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3241-4112")
(aka: MingQing Xiao 0001) — Southern Illinois University Carbondale, Department of Mathematics, IL, USA (and 1 more) - Mingqing Xiao 0003 (aka: Ming-qing Xiao 0003, Ming-Qing Xiao 0003) — Air Force Engineering University, Automatic Test Systems Lab, Xi'an, China (and 1 more)
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2020 – today
- 2024
[j7]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: 105664 (2024)- [j6]Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin:
Sampling complex topology structures for spiking neural networks. Neural Networks 172: 106121 (2024) - [j5]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): 6231-6246 (2024) - [c8]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. ICLR 2024 - [c7]Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin:
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. ICML 2024 - [i12]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. CoRR abs/2402.11984 (2024) - [i11]Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin:
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. CoRR abs/2405.16851 (2024) - [i10]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks. CoRR abs/2407.12516 (2024) - 2023
- [j4]Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu:
Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. 131(1): 134-159 (2023) - [j3]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: 9-24 (2023) - [c6]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: 6143-6153 - [i9]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. CoRR abs/2302.00232 (2023) - [i8]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 abs/2302.14311 (2023) - 2022
- [j2]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: 254-268 (2022) - [j1]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): 3334-3348 (2022) - [c5]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: 12434-12443 - [c4]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Online Training Through Time for Spiking Neural Networks. NeurIPS 2022 - [i7]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 abs/2205.00459 (2022) - [i6]Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu:
Invertible Rescaling Network and Its Extensions. CoRR abs/2210.04188 (2022) - [i5]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Online Training Through Time for Spiking Neural Networks. CoRR abs/2210.04195 (2022) - 2021
- [c3]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS 2021: 14516-14528 - [i4]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. CoRR abs/2109.14247 (2021) - 2020
- [c2]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: 126-144 - [c1]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: 447-463 - [i3]Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu:
Invertible Image Rescaling. CoRR abs/2005.05650 (2020) - [i2]Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu:
Modeling Lost Information in Lossy Image Compression. CoRR abs/2006.11999 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1909.03879 (2019)
Coauthor Index
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