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ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 20217-20229
作者:  Zhang, Wenwen;  Wang, Jiangong;  Wang, Yutong;  Wang, Fei-Yue
收藏  |  浏览/下载：112/0  |  提交时间：2023/03/20
Adaptation models  Representation learning  Feature extraction  Task analysis  Semantics  Generative adversarial networks  Object detection  Object detection  unsupervised domain adaptation  distribution alignment  domain-invariant representation  
Rethinking Pretraining as a Bridge From ANNs to SNNs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Lin, Yihan;  Hu, Yifan;  Ma, Shijie;  Yu, Dongjie;  Li, Guoqi
收藏  |  浏览/下载：346/0  |  提交时间：2023/03/20
Training  Task analysis  Neurons  Pipelines  Artificial neural networks  Feature extraction  Transfer learning  Event-driven dataset  neural network (NN) analysis  pretraining technique  spiking NN (SNN)  transfer learning  
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Tian, Yonglin;  Shen, Yu;  Wang, Xiao;  Wang, Jiangong;  Wang, Kunfeng;  Ding, Weiping;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：370/0  |  提交时间：2023/03/20
Attention inside kernels  dynamic convolution  global context  local context  
Hybrid Fine-Tuning Strategy for Few-Shot Classification 期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 卷号: 2022, 页码: 12
作者:  Zhao, Lei;  Ou, Zhonghua;  Zhang, Lixun;  Li, Shuxiao
收藏  |  浏览/下载：210/0  |  提交时间：2023/03/20
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 11, 页码: 5321-5331
作者:  Liu, Shuaiqi;  Wang, Xu;  Zhao, Ling;  Li, Bing;  Hu, Weiming;  Yu, Jie;  Zhang, Yu-Dong
收藏  |  浏览/下载：308/0  |  提交时间：2023/03/20
Electroencephalography  Feature extraction  Emotion recognition  Convolution  Brain modeling  Deep learning  Neural networks  3D convolution attention neural network  dual attention learning  EEG emotion recognition  spatio-temporal feature  
SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Shuaiqi;  Liu, Siyuan;  Zhang, Shichong;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：267/0  |  提交时间：2023/03/20
Feature extraction  Matrix decomposition  Image fusion  Hyperspectral imaging  Spatial resolution  Tensors  Image reconstruction  Deep learning  hyperspectral image (HSI)  image fusion  multispectral image (MSI)  spectral-spatial attention  
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zeng, Xingjie;  Zhou, Tao;  Bao, Zhicheng;  Zhao, Hongwei;  Chen, Leiming;  Wang, Xiao;  Wang, Feiyue
收藏  |  浏览/下载：250/0  |  提交时间：2023/02/22
Federated learning  Data models  Artificial intelligence  Graph neural networks  Training  Learning systems  Servers  graph neural networks  responsible artificial intelligence (AI)  weight divergence  weight similarity evaluation  
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：172/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1781Kb)  |  收藏  |  浏览/下载：205/12  |  提交时间：2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
A Hierarchical LiDAR Odometry via Maximum Likelihood Estimation With Tightly Associated Distributions 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 10, 页码: 10254-10268
作者:  Wang, Chengpeng;  Cao, Zhiqiang;  Li, Jianjie;  Liang, Shuang;  Tan, Min;  Yu, Junzhi
Adobe PDF(4536Kb)  |  收藏  |  浏览/下载：228/13  |  提交时间：2022/12/27
3D LiDAR odometry  fixed-lag smoothing  hierarchical optimization  maximum likelihood estimation