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Target Controllability of Multiplex Networks With Weighted Interlayer Edges 期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 卷号: 11, 期号: 1, 页码: 313-325
作者:  Ding, Jie;  Zhang, Yaozhong;  Song, Kun;  Li, Guoqi;  Wang, Wei;  Liu, Kexin
收藏  |  浏览/下载：24/0  |  提交时间：2024/03/26
Multiplex networks  weighted networks  target controllability  minimum cost max flow  
Spatio-temporal fusion graph convolutional network for traffic flow forecasting 期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:  Ma, Ying;  Lou, Haijie;  Yan, Ming;  Sun, Fanghui;  Li, Guoqi
收藏  |  浏览/下载：59/0  |  提交时间：2024/02/22
Graph convolutional network  Spatio-temporal data  Traffic forecasting  
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics 期刊论文
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:  Zheng, Hanle;  Zheng, Zhong;  Hu, Rui;  Xiao, Bo;  Wu, Yujie;  Yu, Fangwen;  Liu, Xue;  Li, Guoqi;  Deng, Lei
收藏  |  浏览/下载：42/0  |  提交时间：2024/02/21
Attention Spiking Neural Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9393-9410
作者:  Yao, Man;  Zhao, Guangshe;  Zhang, Hengyu;  Hu, Yifan;  Deng, Lei;  Tian, Yonghong;  Xu, Bo;  Li, Guoqi
收藏  |  浏览/下载：52/0  |  提交时间：2023/11/17
Attention mechanism  efficient neuromorphic inference  neuromorphic computing  spiking neural network  
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition 期刊论文
NEURAL NETWORKS, 2023, 卷号: 166, 页码: 410-423
作者:  Yao, Man;  Zhang, Hengyu;  Zhao, Guangshe;  Zhang, Xiyu;  Wang, Dingheng;  Cao, Gang;  Li, Guoqi
收藏  |  浏览/下载：91/0  |  提交时间：2023/11/16
Spiking neural network  Event-based vision  Neuromorphic computing  Attention mechanism  Brain-inspired computing  
Spike Attention Coding for Spiking Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 7
作者:  Liu, Jiawen;  Hu, Yifan;  Li, Guoqi;  Pei, Jing;  Deng, Lei
收藏  |  浏览/下载：78/0  |  提交时间：2023/11/16
Rate coding  spike attention coding (SAC)  spiking neural networks (SNNs)  temporal coding