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CASIA OpenIR
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ArtCap: A Dataset for Image Captioning of Fine Art Paintings 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 12
作者:  Lu, Yue;  Guo, Chao;  Dai, Xingyuan;  Wang, Fei-Yue
Adobe PDF(5137Kb)  |  收藏  |  浏览/下载：298/59  |  提交时间：2023/02/22
Dataset construction  image captioning  painting captioning  
Intelligent contracts: Making smart contracts smart for blockchain intelligence 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 104, 页码: 15
作者:  Ouyang, Liwei;  Zhang, Wenwen;  Wang, Fei-Yue
Adobe PDF(1184Kb)  |  收藏  |  浏览/下载：320/56  |  提交时间：2023/02/22
Blockchain  Smart contracts  Blockchain intelligence  Decentralized artificial intelligence  
A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 23, 页码: 15
作者:  Shen, Yu;  Liu, Yuhang;  Tian, Yonglin;  Liu, Zhongmin;  Wang, Feiyue
Adobe PDF(6435Kb)  |  收藏  |  浏览/下载：209/3  |  提交时间：2023/01/09
light field  parallel intelligence  disparity estimation  scene flow  digital twin  virtual real interaction  angular super-resolution  
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：547/55  |  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  
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：334/46  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19 期刊论文
APPLIED ENERGY, 2022, 卷号: 309, 页码: 10
作者:  Hu, Chenxi;  Zhang, Jun;  Yuan, Hongxia;  Gao, Tianlu;  Jiang, Huaiguang;  Yan, Jing;  Gao, David Wenzhong;  Wang, Fei-Yue
收藏  |  浏览/下载：224/0  |  提交时间：2022/07/25
Transfer learning  Black swan event  Small-sample learning  COVID-19  Load forecasting  
ShadowPainter: Active Learning Enabled Robotic Painting through Visual Measurement and Reproduction of the Artistic Creation Process 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2022, 卷号: 105, 期号: 3, 页码: 17
作者:  Guo, Chao;  Bai, Tianxiang;  Wang, Xiao;  Zhang, Xiangyu;  Lu, Yue;  Dai, Xingyuan;  Wang, Fei-Yue
Adobe PDF(7718Kb)  |  收藏  |  浏览/下载：336/56  |  提交时间：2022/07/25
Painting reproduction  Robotic painting  Robotic system  Vision-based measurement  
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：346/57  |  提交时间：2022/06/10
Photo-to-caricature translation  Generative adversarial networks  Image-to-image translation  Style transfer  Image warping  
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：281/0  |  提交时间：2022/06/10
Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight  
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：431/139  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning