CASIA OpenIR

浏览/检索结果: 共27条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载:197/112  |  提交时间:2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Wang, Jiangong;  Tian, Yonglin;  Wang, Yutong;  Yang, Jing;  Wang, Xingxia;  Wang, Sanjin;  Kwan, Oliver
Adobe PDF(3322Kb)  |  收藏  |  浏览/下载:127/34  |  提交时间:2023/02/22
Cyber-physical-social intelligence (CPSI)  cyber-physical-social systems (CPSSs)  industrial foundation models (IFMs)  intelligent enterprises  metaverses  operational processes  parallel intelligence  
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载:254/64  |  提交时间:2022/12/27
Decoding  Brain modeling  Functional magnetic resonance imaging  Predictive models  Emotion recognition  Dimensionality reduction  Pattern recognition  Fine-grained emotion decoding  multi-label learning  multi-view learning  product of experts (PoEs)  variational autoencoder  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:216/25  |  提交时间:2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 186-196
作者:  Li, Mingda;  Sun, Zhengya;  Zhang, Wensheng
Adobe PDF(931Kb)  |  收藏  |  浏览/下载:304/49  |  提交时间:2022/06/10
Knowledge graph embedding  Out-of-knowledge-graph entities  Knowledge graph completion  Similarity search  
From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 3, 页码: 800-819
作者:  Zhang, Zhaoxiang;  Luo, Chuanchen;  Wu, Haiping;  Chen, Yuntao;  Wang, Naiyan;  Song, Chunfeng
Adobe PDF(1762Kb)  |  收藏  |  浏览/下载:263/34  |  提交时间:2022/06/06
Feature aggregation  Deep learning  Intra-class variance  Person re-identification  Video object detection  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载:306/42  |  提交时间:2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
TVGCN: Time-variant graph convolutional network for traffic forecasting 期刊论文
NEUROCOMPUTING, 2022, 卷号: 471, 页码: 118-129
作者:  Wang, Yuhu;  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载:175/0  |  提交时间:2022/06/06
Spatial-temporal correlation  Graph convolutional network  Traffic forecasting  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载:322/62  |  提交时间:2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载:283/66  |  提交时间:2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging