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CASIA OpenIR
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平行智能与CPSS:三十年发展的回顾与展望 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 3, 页码: 614-634
作者:  杨静;  王晓;  王雨桐;  刘忠民;  李小双;  王飞跃
Adobe PDF(12560Kb)  |  收藏  |  浏览/下载：10/2  |  提交时间：2024/05/09
社会物理信息系统  平行智能  人工系统  计算实验  平行执行  
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：27/0  |  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：60/0  |  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：94/0  |  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  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：204/114  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
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：70/0  |  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：253/0  |  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：197/0  |  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：299/42  |  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：370/123  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning