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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：314/21  |  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  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：270/56  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
Mass Image Synthesis in Mammogram with Contextual Information Based on GANs 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 期号: 2021, 页码: 9
作者:  Shen, Tianyu;  Hao, Kunkun;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：298/50  |  提交时间：2021/05/17
medical image synthesis  generative adversarial network  mammogram  mass detection  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：279/53  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载：324/47  |  提交时间：2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
A Novel GSP Auction Mechanism for Ranking Bitcoin Transactions in Blockchain Mining 期刊论文
DECISION SUPPORT SYSTEMS, 2019, 卷号: 124, 期号: 2019, 页码: NA
作者:  Li, Juanjuan;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(2794Kb)  |  收藏  |  浏览/下载：723/127  |  提交时间：2019/09/25
Blockchain  Generalized Second Price auction  Transaction fee  Quality score  Virtual fee  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：305/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2019, 卷号: 00, 期号: 00, 页码: 00
作者:  Peijun Ye;  Fenghua Zhu;  Samer Sabri;  Fei-Yue Wang
浏览  |  Adobe PDF(2643Kb)  |  收藏  |  浏览/下载：280/83  |  提交时间：2019/10/10
Population Synthesis  Multiple Social Relationships  Tensor Decomposition  Agent-based Simulation  
Parallel testing of vehicle intelligence via virtual-real interaction 期刊论文
Science Robotics, 2019, 卷号: 4, 期号: 28, 页码: eaaw4106
作者:  Li Li;  Xiao Wang;  Kunfeng Wang;  Yilun Lin;  Jingmin Xin;  Long Chen;  Linhai Xu;  Bin Tian;  Yunfeng Ai;  Jian Wang;  Dongpu Cao;  Yuehu Liu;  Chenghong Wang;  Nanning Zheng;  Fei-Yue Wang
Adobe PDF(332Kb)  |  收藏  |  浏览/下载：857/343  |  提交时间：2019/05/07
Artificial Intelligence  Intelligent Vehicle  
Artificial intelligence test: a case study of intelligent vehicles 期刊论文
Artificial Intelligence Review, 2018, 卷号: 50, 期号: 3, 页码: 441–465
作者:  Li Li;  Yilun Lin;  Nan-Ning Zheng;  Fei-Yue Wang;  Yuehu Liu;  Dongpu Cao;  Kunfeng Wang;  Wu-Ling Huang
浏览  |  Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：452/172  |  提交时间：2019/05/07
Artificial Intelligence  Intelligence Test  Turing Test  Simulation Test