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EventMix: An efficient data augmentation strategy for event-based learning 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 644, 页码: 11
作者:  Shen, Guobin;  Zhao, Dongcheng;  Zeng, Yi
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Event based data augmentation  Neuromorphic data  Spiking neural networks  Reasonable label assignment  Gaussian mixture model  
Brain-inspired neural circuit evolution for spiking neural networks 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 卷号: 120, 期号: 39, 页码: 10
作者:  Shen, Guobin;  Zhao, Dongcheng;  Dong, Yiting;  Zeng, Yi
收藏  |  浏览/下载：15/0  |  提交时间：2024/02/21
brain-inspired  neural circuit evolution  spiking neural networks  
MoEP-AE: Autoencoding Mixtures of Exponential Power Distributions for Open-Set Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 312-325
作者:  Sun, Jiayin;  Wang, Hong;  Dong, Qiulei
收藏  |  浏览/下载：71/0  |  提交时间：2023/03/20
Feature extraction  Task analysis  Training  Power distribution  Sun  Decoding  Gaussian distribution  Open-set recognition  autoencoder  scale mixture distribution  exponential power distribution  
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：294/50  |  提交时间：2023/03/20
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 13
作者:  Li, Yang;  Zhao, Dongcheng;  Zeng, Yi
收藏  |  浏览/下载：190/0  |  提交时间：2022/11/21
spiking neural network  bistability  neuromorphic computing  image classification  conversion  
New and effective EGFR-targeted fluorescence imaging technology for intraoperative rapid determination of lung cancer in freshly isolated tissue 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 14
作者:  Li, Changjian;  Mi, Jiahui;  Wang, Yueqi;  Zhang, Zeyu;  Guo, Xiaoyong;  Zhou, Jian;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(4761Kb)  |  收藏  |  浏览/下载：336/83  |  提交时间：2022/11/14
Intraoperative imaging technology  Lung cancer  Fluorescence-labeled antibody probe  Epidermal growth factor receptor  Surgical tumor resection  
Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581
作者:  Xiao, Anqi;  Shen, Biluo;  Shi, Xiaojing;  Zhang, Zhe;  Zhang, Zeyu;  Tian, Jie;  Ji, Nan;  Hu, Zhenhua
收藏  |  浏览/下载：210/0  |  提交时间：2022/11/14
Imaging  Computer architecture  Fluorescence  Feature extraction  Surgery  Biomedical imaging  Medical diagnostic imaging  Deep learning  glioma grading  intraoperative imaging  multi-modal imaging  neural architecture search  NIR-II fluorescence imaging  
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 610, 页码: 1-13
作者:  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi;  Wang, Jihang;  Zhang, Qian
收藏  |  浏览/下载：162/0  |  提交时间：2022/11/14
Spiking Neural Network  Capsual Neural Netowrk  Biologically Plausible Routing  Noise Robustness  Affine Transformation Robustness  
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:  Sun, Yinqian;  Zeng, Yi;  Li, Yang
Adobe PDF(1561Kb)  |  收藏  |  浏览/下载：202/29  |  提交时间：2022/11/14
brain-inspired decision model  SDQN  reinforcement learning  potential normalization  spiking activity  
SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 9, 页码: 22
作者:  Xing, Siyuan;  Dong, Qiulei;  Hu, Zhanyi
收藏  |  浏览/下载：199/0  |  提交时间：2022/07/25
height estimation  semantic segmentation  single aerial image  convolutional neural networks  multi-task learning  deep metric learning