CASIA OpenIR

浏览/检索结果: 共23条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Multi-Cue Guided Semi-Supervised Learning Toward Target Speaker Separation in Real Environments 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2024, 卷号: 32, 页码: 151-163
作者:  Xu, Jiaming;  Cui, Jian;  Hao, Yunzhe;  Xu, Bo
收藏  |  浏览/下载:97/0  |  提交时间:2024/02/22
Cocktail party problem  target speaker separation  multi-cue guided separation  semi-supervised learning  
EEGNet-based multi-source domain filter for BCI transfer learning 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2023, 页码: 12
作者:  Li, Mengfan;  Li, Jundi;  Song, Zhiyong;  Deng, Haodong;  Xu, Jiaming;  Xu, Guizhi;  Liao, Wenzhe
收藏  |  浏览/下载:69/0  |  提交时间:2024/02/22
Brain-computer interface  Multi-source domain filter  Transfer learning  Ensemble learning  EEGNet  
A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost 期刊论文
SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 34, 页码: 12
作者:  Zhang, Tielin;  Cheng, Xiang;  Jia, Shuncheng;  Li, Chengyu T.;  Poo, Mu-ming;  Xu, Bo
收藏  |  浏览/下载:113/0  |  提交时间:2023/11/17
Byzantine-Resilient Federated Learning at Edge 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 9, 页码: 2600-2614
作者:  Tao, Youming;  Cui, Sijia;  Xu, Wenlu;  Yin, Haofei;  Yu, Dongxiao;  Liang, Weifa;  Cheng, Xiuzhen
收藏  |  浏览/下载:166/0  |  提交时间:2023/11/17
Byzantine resilience  communication efficiency  edge intelligent systems  federated learning  
Origin of the efficiency of spike timing-based neural computation for processing temporal information 期刊论文
NEURAL NETWORKS, 2023, 卷号: 160, 页码: 84-96
作者:  Jiang, Zhiwei;  Xu, Jiaming;  Zhang, Tielin;  Poo, Mu-ming;  Xu, Bo
收藏  |  浏览/下载:189/0  |  提交时间:2023/03/20
Postsynaptic potential  Spiking neural network  Sequence learning  Temporal information processing  
Improving Cross-State and Cross-Subject Visual ERP-Based BCI With Temporal Modeling and Adversarial Training 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 369-379
作者:  Ni, Ziyi;  Xu, Jiaming;  Wu, Yuwei;  Li, Mengfan;  Xu, Guizhi;  Xu, Bo
收藏  |  浏览/下载:241/0  |  提交时间:2022/06/06
Brain modeling  Electroencephalography  Visualization  Training  Task analysis  Feature extraction  Adaptation models  Brain-computer interface  temporal modeling  adversarial training  cross-subject  cross-state  
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 452-472
作者:  Wu, Jia-Geng;  Yan, Yang;  Zhang, Dong-Xu;  Liu, Bo-Wen;  Zheng, Qing-Bing;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Ge, Sheng-Xiang;  Hou, Zeng-Guang;  Xia, Ning-Shao
收藏  |  浏览/下载:292/0  |  提交时间:2022/03/17
Machine learning  Periodic structures  Task analysis  Proteins  Photomicrography  Coronaviruses  Machine learning algorithms  Clustering  deep learning (DL)  image processing  machine learning  neural network (NN)  single-particle cryo-electron microscopy (cryo-EM)  
Disturbance Rejection Control for Underwater Free-Floating Manipulation 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 卷号: 27, 期号: 5, 页码: 3742 - 3750
作者:  Lv, Jiaqi;  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Xu, Wenxing;  Wang, Rui;  Tan, Min
Adobe PDF(10105Kb)  |  收藏  |  浏览/下载:359/46  |  提交时间:2022/01/27
Disturbance observer-based control (DOBC)  fast arctangent nonsingularity terminal sliding mode controller (FANTSMC)  underwater biomimetic vehicle-manipulator system (UBVMS)  underwater manipulation  Estimation  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载:337/42  |  提交时间:2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Zhang, Tielin;  Jia, Shuncheng;  Cheng, Xiang;  Xu, Bo
收藏  |  浏览/下载:234/0  |  提交时间:2022/01/27
Neurons  Biology  Convolution  Biological neural networks  Tuning  Membrane potentials  Kernel  Biologically plausible computing  neuronal dynamics  reward propagation  spiking neural network (SNN)