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Multi-modal spatial relational attention networks for visual question answering 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 13
作者:  Yao, Haibo;  Wang, Lipeng;  Cai, Chengtao;  Sun, Yuxin;  Zhang, Zhi;  Luo, Yongkang
收藏  |  浏览/下载：51/0  |  提交时间：2024/02/22
Visual question answering  Spatial relation  Attention mechanism  Pre -training strategy  
Peer Incentive Reinforcement Learning for Cooperative Multiagent Games 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 15, 期号: 4, 页码: 623-636
作者:  Zhang, Tianle;  Liu, Zhen;  Pu, Zhiqiang;  Yi, Jianqiang
收藏  |  浏览/下载：19/0  |  提交时间：2024/02/22
Cooperative multiagent games  intrinsic reward  multiagent reinforcement learning (MARL)  Starcraft II Micromanagement  
Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 11
作者:  Zhu, Wenjun;  Liu, Yanghong;  Wang, Peng;  Zhang, Mengyi;  Wang, Tian;  Yi, Yang
收藏  |  浏览/下载：65/0  |  提交时间：2023/11/17
Trajectory prediction  Hierarchical policy  Graph neural networks  
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：193/110  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：330/23  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
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  
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：319/62  |  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  
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：303/49  |  提交时间：2022/06/10
Knowledge graph embedding  Out-of-knowledge-graph entities  Knowledge graph completion  Similarity search  
Dual-View Conditional Variational Auto-Encoder for Emotional Dialogue Generation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2022, 卷号: 21, 期号: 3, 页码: 18
作者:  Li, Mei;  Zhang, Jiajun;  Lu, Xiang;  Zong, Chengqing
Adobe PDF(1187Kb)  |  收藏  |  浏览/下载：275/56  |  提交时间：2022/06/10
Sentiment  dialogue  neural networks  
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：304/41  |  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