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Learning by Seeing More Classes 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 45, 期号: 6, 页码: 7477-7493
作者:  Fei Zhu;  Xu-Yao Zhang;  Rui-Qi Wang;  Cheng-Lin Liu
Adobe PDF(2561Kb)  |  收藏  |  浏览/下载：172/52  |  提交时间：2023/09/12
Class augmentation  generalization  confidence estimation  open-environment learning  
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：92/0  |  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  
DH-Mammo PET: a dual-head positron emission mammography system for breast imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 20, 页码: 21
作者:  Shi, Yu;  Wang, Yirong;  Zhou, Jianwei;  Zhu, Yuzhen;  Lyu, Xudong;  Hui, Hui;  Wen, Bo;  Liu, Yanyun;  Li, Lei;  Li, Juntao;  Meng, Fanzhen;  Kang, Fei;  Zhu, Shouping
收藏  |  浏览/下载：260/0  |  提交时间：2022/11/14
performance evaluation  mammography  dual-head PET system  PET-optical  
Many-body Hilbert space scarring on a superconducting processor 期刊论文
NATURE PHYSICS, 2022, 页码: 9
作者:  Zhang, Pengfei;  Dong, Hang;  Gao, Yu;  Zhao, Liangtian;  Hao, Jie;  Desaules, Jean-Yves;  Guo, Qiujiang;  Chen, Jiachen;  Deng, Jinfeng;  Liu, Bobo;  Ren, Wenhui;  Yao, Yunyan;  Zhang, Xu;  Xu, Shibo;  Wang, Ke;  Jin, Feitong;  Zhu, Xuhao;  Zhang, Bing;  Li, Hekang;  Song, Chao;  Wang, Zhen;  Liu, Fangli;  Papic, Zlatko;  Ying, Lei;  Wang, H.;  Lai, Ying-Cheng
收藏  |  浏览/下载：304/0  |  提交时间：2022/11/14
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：185/0  |  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：321/42  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
An Efficient Multiresolution Network for Vehicle Reidentification 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 11, 页码: 9049-9059
作者:  Shen, Fei;  Zhu, Jianqing;  Zhu, Xiaobin;  Huang, Jingchang;  Zeng, Huanqiang;  Lei, Zhen;  Cai, Canhui
收藏  |  浏览/下载：277/0  |  提交时间：2022/07/25
Image resolution  Training  Feature extraction  Spatial resolution  Proposals  Internet of Things  Deep learning  Deep learning  image representation  multiresolution  vehicle reidentification  
Decoding lip language using triboelectric sensors with deep learning 期刊论文
NATURE COMMUNICATIONS, 2022, 卷号: 13, 期号: 1, 页码: 12
作者:  Lu, Yijia;  Tian, Han;  Cheng, Jia;  Zhu, Fei;  Liu, Bin;  Wei, Shanshan;  Ji, Linhong;  Wang, Zhong Lin
收藏  |  浏览/下载：208/0  |  提交时间：2022/06/06
Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
作者:  Wang, Xiao;  Zhu, Yushan;  Han, Shuangshuang;  Yang, Linyao;  Gu, Haixia;  Wang, Fei-Yue
收藏  |  浏览/下载：265/0  |  提交时间：2022/06/06
Convolutional neural networks  Feature extraction  Machine learning algorithms  Deep learning  Global Positioning System  Scalability  Safety  Broad learning system (BLS)  incremental learning system  Internet of Vehicles (IoV)  misbehavior detection  ridge regression approximation  
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：420/137  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning