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CASIA OpenIR
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眼动跟踪研究进展与展望 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 5, 页码: 1173-1192
作者:  苟超;  卓莹;  王康;  王飞跃
Adobe PDF(16872Kb)  |  收藏  |  浏览/下载：27/8  |  提交时间：2024/05/20
眼动跟踪  人眼检测  视线估计  注意力分析  
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：468/38  |  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  
Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1752-1762
作者:  Xianglei Zhu;  Wen Hu;  Zejian Deng;  Jinwei Zhang;  Fengqing Hu;  Rui Zhou;  Keqiu Li;  Fei-Yue Wang
Adobe PDF(4329Kb)  |  收藏  |  浏览/下载：178/61  |  提交时间：2022/09/08
Cut-in behavior  interaction-aware  mixed traffic  risk assessment  trajectory prediction  
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：252/74  |  提交时间：2022/06/16
平行艺术  绘画图像标注  
Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：343/70  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
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：325/47  |  提交时间：2022/06/06
Multi-object tracking  Transformer  Semantic task  Dynamic query  
Exploring Image Generation for UAV Change Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1061-1072
作者:  Xuan Li;  Haibin Duan;  Yonglin Tian;  Fei-Yue Wang
Adobe PDF(6339Kb)  |  收藏  |  浏览/下载：206/65  |  提交时间：2022/05/30
Change detection  computer graphics  image translation  simulated images  synthetic images  unmanned aerial vehicles (UAVs)  
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：403/133  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform 期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 3, 页码: 968-982
作者:  Tamir, Tariku Sinshaw;  Xiong,Gang;  Dong,Xisong;  Fang,Qihang;  Liu,Sheng;  Lodhi,Ehtisham;  Shen,Zhen;  Wang, Fei-Yue
Adobe PDF(3410Kb)  |  收藏  |  浏览/下载：404/191  |  提交时间：2022/04/07
Additive Manufacturing, Extended Proportion-Derivation Sliding Mode Controller, Grey Wolf Optimization, Print Quality, Stewart Platform  
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai;  Hou, Jiachen;  Xin, Kejun;  Wang, Fei-Yue
Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：312/53  |  提交时间：2022/03/17
Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning