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CASIA OpenIR
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Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 6, 页码: 77-82
作者:  Zhao, Chen;  Dai, Xingyuan;  Yisheng Lv;  Tian, Yonglin;  Ren, Yuhai;  Wang, Fei-Yue
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载：21/6  |  提交时间：2024/05/28
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond 期刊论文
IEEE Intelligent Transportation Systems Magazine, 2022, 卷号: 14, 期号: 6, 页码: 6-17
作者:  Zhao, Chen;  Lv, Yisheng;  Jin, Junchen;  Tian, Yonglin;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(2979Kb)  |  收藏  |  浏览/下载：27/8  |  提交时间：2024/05/28
Artificial Identification: A Novel Privacy Framework for Federated Learning Based on Blockchain 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 1-10
作者:  Ouyang,Liwei;  Wang,Fei-Yue;  Tian,Yonglin;  Jia,Xiaofeng;  Qi,Hongwei;  Wang,Ge
Adobe PDF(1574Kb)  |  收藏  |  浏览/下载：117/23  |  提交时间：2023/06/06
A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Wang, Jiangong;  Tian, Yonglin;  Wang, Yutong;  Yang, Jing;  Wang, Xingxia;  Wang, Sanjin;  Kwan, Oliver
Adobe PDF(3322Kb)  |  收藏  |  浏览/下载：164/51  |  提交时间：2023/02/22
Cyber-physical-social intelligence (CPSI)  cyber-physical-social systems (CPSSs)  industrial foundation models (IFMs)  intelligent enterprises  metaverses  operational processes  parallel intelligence  
Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 24, 页码: 16
作者:  Liu, Yuhang;  Shen, Yu;  Fan, Lili;  Tian, Yonglin;  Ai, Yunfeng;  Tian, Bin;  Liu, Zhongmin;  Wang, Fei-Yue
收藏  |  浏览/下载：306/0  |  提交时间：2023/02/22
parallel radars  ACP method  cyber-physical-social systems (CPSS)  federated radars  
Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2071-2078
作者:  Yutong Wang;  Yonglin Tian;  Jiangong Wang;  Yansong Cao;  Shixing Li;  Bin Tian
Adobe PDF(1477Kb)  |  收藏  |  浏览/下载：246/95  |  提交时间：2022/12/02
Automated Optical Inspection  Metaverses  Quality Inspection  Transformers  
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:  Wang, Jiangong;  Shen, Tianyu;  Tian, Yonglin;  Wang, Yutong;  Gou, Chao;  Wang, Xiao;  Yao, Fei;  Sun, Changyin
Adobe PDF(2602Kb)  |  收藏  |  浏览/下载：306/71  |  提交时间：2022/11/28
Object detection  Feature extraction  Data models  Training  Knowledge engineering  Detectors  Computational modeling  Computer vision  Unsupervised Domain Adaptation  Teacher-student learning  Traffic object detection  
Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 456-465
作者:  Tian, Yonglin;  Wang, Jiangong;  Wang, Yutong;  Zhao, Chen;  Yao, Fei;  Wang, Xiao
收藏  |  浏览/下载：208/0  |  提交时间：2022/11/28
Transformers  Autonomous vehicles  Collaborative work  Point cloud compression  Trajectory  Computational modeling  Vehicle dynamics  Cooperative autonomous driving  Federated Vehicular Transformers  Federation of Vehicular Transformers  Vehicular Transformers  
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  
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
作者:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载：392/68  |  提交时间：2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream