CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共30条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载:32/2  |  提交时间:2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:61/14  |  提交时间:2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载:274/165  |  提交时间:2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载:159/28  |  提交时间:2023/06/27
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载:303/39  |  提交时间:2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Data-efficient image captioning of fine art paintings via virtual-real semantic alignment training 期刊论文
Neurocomputing, 2022, 页码: 163–180
作者:  Lu Yue;  Guo Chao;  Dai Xingyuan;  Wang Fei-yue
Adobe PDF(6207Kb)  |  收藏  |  浏览/下载:255/74  |  提交时间:2022/06/16
平行艺术  绘画图像标注  
IPGAN: Identity-Preservation Generative Adversarial Network for unsupervised photo-to-caricature translation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 241, 页码: 11
作者:  Yan, Lan;  Zheng, Wenbo;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3723Kb)  |  收藏  |  浏览/下载:324/52  |  提交时间:2022/06/10
Photo-to-caricature translation  Generative adversarial networks  Image-to-image translation  Style transfer  Image warping  
SegDQ: Segmentation assisted multi-object tracking with dynamic query-based transformers 期刊论文
NEUROCOMPUTING, 2022, 卷号: 481, 页码: 91-101
作者:  Liu, Yating;  Bai, Tianxiang;  Tian, Yonglin;  Wang, Yutong;  Wang, Jiangong;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载:330/47  |  提交时间:2022/06/06
Multi-object tracking  Transformer  Semantic task  Dynamic query  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载:233/72  |  提交时间:2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载:411/135  |  提交时间:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning