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RadarVerses in Metaverses: A CPSI-Based Architecture for 6S Radar Systems in CPSS 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Liu, Yuhang;  Shen, Yu;  Tian, Yonglin;  Ai, Yunfeng;  Tian, Bin;  Wu, Er;  Chen, Long
收藏  |  浏览/下载：153/0  |  提交时间：2023/02/22
Cyber-physical-social systems (CPSS)  meta-verses  parallel intelligence  RadarVerses  
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：131/38  |  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  
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
收藏  |  浏览/下载：152/0  |  提交时间：2023/01/09
light field  parallel intelligence  disparity estimation  scene flow  digital twin  virtual real interaction  angular super-resolution  
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：88/15  |  提交时间：2023/06/06
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：201/0  |  提交时间：2023/02/22
parallel radars  ACP method  cyber-physical-social systems (CPSS)  federated radars  
Parallel Sensing in Metaverses: Virtual-Real Interactive Smart Systems for "6S" Sensing 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 12, 页码: 2047-2054
作者:  Shen, Yu;  Liu, Yuhang;  Tian, Yonglin;  Na, Xiaoxiang
收藏  |  浏览/下载：111/0  |  提交时间：2023/03/20
Parallel Sensing  Parallel Intelligence  CPSS  Metaverses  Virtual and Real Interaction  "6S"  Sensing  
SLMS-SSD: Improving the balance of semantic and spatial information in object detection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 206, 页码: 10
作者:  Wang, Kunfeng;  Wang, Yadong;  Zhang, Shuqin;  Tian, Yonglin;  Li, Dazi
收藏  |  浏览/下载：180/0  |  提交时间：2022/09/19
Object detection  Deep learning  Multi-scale feature selection  Self-learning feature fusion  
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Tian, Yonglin;  Shen, Yu;  Wang, Xiao;  Wang, Jiangong;  Wang, Kunfeng;  Ding, Weiping;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：236/0  |  提交时间：2023/03/20
Attention inside kernels  dynamic convolution  global context  local context  
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：190/0  |  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  
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：270/64  |  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