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王飞跃 [18]
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共18条,第1-10条
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收录类别:SCI
作者:王飞跃
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专题:多模态人工智能系统全国重点实验室
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When Blockchain Meets Auction: A Comprehensive Survey
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 13
作者:
Liu, Xuan
;
Liu, Lu
;
Yuan, Yong
;
Long, Yong-Hong
;
Li, San-Xi
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/07/03
Allocation
auction
blockchain
decentralized
pricing
A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS
期刊论文
IEEE Transactions on Industrial Informatics, 2024, 页码: 1-8
作者:
Xingxia Wang
;
Yutong Wang
;
Jing Yang
;
Xiao Wang
;
Zonglin Meng
;
Zhaohai Liu
;
Fei-Yue Wang
Adobe PDF(2770Kb)
  |  
收藏
  |  
浏览/下载:35/7
  |  
提交时间:2024/06/06
Oils
Fifth Industrial Revolution
Production
Fourth Industrial Revolution
Biology
Service robots
Transportation
Cyber-physical systems (CPS)
cyber-physical-social systems (CPSS)
Industry 4.0
Industry 5.0
parallel intelligence
parallel oil and gas
CFSL: A Credible Federated Self-Learning Framework
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 24, 页码: 21349-21362
作者:
Zhang, Weishan
;
Bao, Zhicheng
;
Liu, Yuru
;
Xu, Liang
;
Lu, Qinghua
;
Ning, Huansheng
;
Wang, Xiao
;
Yang, Su
;
Wang, Fei-Yue
;
Li, Zengxiang
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2024/03/26
Federated learning
Data models
Training
Internet of Things
Blockchains
Adaptation models
Smart contracts
Blockchain
consensus
federated learning
personalization
self-learning
ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩
期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 卷号: 152, 页码: 27
作者:
Liu, Xuan
;
Zhou, Min
;
Dong, Hairong
;
Wu, Xingtang
;
Li, Yidong
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:85/0
  |  
提交时间:2023/11/17
Timetable rescheduling
Platforming
Uncertain perturbation
Model predictive control
Alternative direction method of multipliers
Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3211-3216
作者:
Li, Xuan
;
Teng, Siyu
;
Liu, Bingzi
;
Dai, Xingyuan
;
Na, Xiaoxiang
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:116/0
  |  
提交时间:2023/11/17
Testing
Safety
Autonomous vehicles
Roads
ISO Standards
Calibration
Standards
Scenarios engineering
autonomous vehicles
parallel intelligence
simulation scenarios
real-road testing
Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 4, 页码: 804-808
作者:
Zhu, Zhengqiu
;
Wang, Xiao
;
Zhao, Yong
;
Qiu, Sihang
;
Liu, Zhong
;
Chen, Bin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2023/03/20
Blockchains
Autonomous vehicles
Smart contracts
Privacy
Crowdsensing
Security
Data privacy
Connected vehicles
Connected and autonomous vehicles
vehicular crowdsensing
blockchain technology
Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 413-416
作者:
Ge, Shirong
;
Wang, Fei-Yue
;
Yang, Jianjian
;
Ding, Zhen
;
Wang, Xiao
;
Li, Yuchen
;
Teng, Siyu
;
Liu, Zhongmin
;
Ai, Yunfeng
;
Chen, Long
收藏
  |  
浏览/下载:279/0
  |  
提交时间:2022/11/28
Autonomous vehicles
Standards
Production
Safety
Data mining
Transportation
Roads
Intelligent mining
parallel intelligence
parallel mining operation systems
autonomous transportation
smart mining standards
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Liu, Bin
;
Wang, Xiao
;
Mao, Wenji
;
Zeng, Daniel Dajun
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:228/0
  |  
提交时间:2022/11/14
Training
Task analysis
Semantics
Perturbation methods
Feature extraction
Computational modeling
Robustness
Adversarial perturbation
adversarially robust training
deep hashing
multimodal retrieval
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:336/49
  |  
提交时间:2022/06/06
Multi-object tracking
Transformer
Semantic task
Dynamic query
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:415/137
  |  
提交时间:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning