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CASIA OpenIR
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Learning Transformer-based Cooperation for Networked Traffic Signal Control 会议论文
, Macau, China, 2022-10
作者:  Zhao, Chen;  Dai, Xingyuan;  Wang, Xiao;  Li, Lingxi;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：40/15  |  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：43/14  |  提交时间：2024/05/28
PAT: Point Cloud Analysis with Local Filter Embedding in Transformer 会议论文
, Macau, China, October 8-12, 2022
作者:  Xi Li;  Siqi Fan;  Yuanyuan Chen,;  Yuliang Liu,;  Shichao Chen,;  Fenghua Zhu,;  Yisheng Lv
Adobe PDF(2566Kb)  |  收藏  |  浏览/下载：171/35  |  提交时间：2023/05/05
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 53, 期号: 4, 页码: 2062-2072
作者:  Zhao, Chen;  Dai, Xingyuan;  Lv, Yisheng;  Niu, Jinglong;  Lin, Yilun
Adobe PDF(1921Kb)  |  收藏  |  浏览/下载：283/6  |  提交时间：2023/02/22
Intelligent Transportation Systems (ITS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Cyber–Physical–Social Systems (CPSS)  
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：317/42  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng
收藏  |  浏览/下载：201/0  |  提交时间：2022/07/25
Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：237/72  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
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：415/137  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
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：404/73  |  提交时间：2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream