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ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 20217-20229
作者:  Zhang, Wenwen;  Wang, Jiangong;  Wang, Yutong;  Wang, Fei-Yue
收藏  |  浏览/下载：86/0  |  提交时间：2023/03/20
Adaptation models  Representation learning  Feature extraction  Task analysis  Semantics  Generative adversarial networks  Object detection  Object detection  unsupervised domain adaptation  distribution alignment  domain-invariant representation  
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：294/68  |  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：201/0  |  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  
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载：167/0  |  提交时间：2022/11/14
Traffic flow prediction  maritime traffic network  multi-graph convolutional network  automatic identification system (AIS)  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：289/36  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state