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灰狼与郊狼混合优化算法及其聚类优化 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 11, 页码: 2757-2776
作者:  张新明;  姜云;  刘尚旺;  刘国奇;  窦智;  刘艳
Adobe PDF(1675Kb)  |  收藏  |  浏览/下载：48/22  |  提交时间：2024/05/20
优化算法  灰狼优化算法  郊狼优化算法  混合算法  聚类优化  
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：53/0  |  提交时间：2024/03/26
Multiplex networks  weighted networks  target controllability  minimum cost max flow  
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：92/0  |  提交时间：2024/02/21
Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 卷号: 31, 页码: 2688-2697
作者:  Yan, Tianyi;  Wang, Gongshu;  Liu, Tiantian;  Li, Guoqi;  Wang, Changming;  Funahashi, Shintaro;  Suo, Dingjie;  Pei, Guangying
收藏  |  浏览/下载：119/0  |  提交时间：2023/11/17
Dynamic brain network  information interaction  microstates  resting-state EEG  schizophrenia stages  
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：111/0  |  提交时间：2023/11/16
Rate coding  spike attention coding (SAC)  spiking neural networks (SNNs)  temporal coding  
General spiking neural network framework for the learning trajectory from a noisy mmWave radar 期刊论文
Neuromorphic Computing and Engineering, 2022, 卷号: 2, 期号: 3
作者:  Liu,Xin;  Yan,Mingyu;  Deng,Lei;  Wu,Yujie;  Han,De;  Li,Guoqi;  Ye,Xiaochun;  Fan,Dongrui
收藏  |  浏览/下载：84/0  |  提交时间：2023/05/31
millimeter wave radar  spiking neural networks  attention mechanism  model robustness  trajectory estimation  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye;  Dongrui Fan
Adobe PDF(2300Kb)  |  收藏  |  浏览/下载：250/52  |  提交时间：2021/11/03
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Horror Text Recognition Based on Generalized Expectation Criteria 会议论文
, 2013
作者:  Guoqi Liu;  Bing Li;  Weiming Hu;  Jinfeng Yang
收藏  |  浏览/下载：176/0  |  提交时间：2017/02/24