CASIA OpenIR
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Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 12, 页码: 4696-4705
作者:  Ye, Peijun;  Qi, Hao;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载:10/0  |  提交时间:2024/03/26
Safe driving  reinforcement learning  counter factual reasoning  evolutionary search  
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Qu, Jingxiang;  Liu, Ryan Wen;  Zhao, Chenjie;  Guo, Yu;  Xu, Sendren Sheng-Dong;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载:33/0  |  提交时间:2024/02/22
Waterborne transportation  intelligent maritime surveillance  vessel draft reading (VDR)  multi-task learning  image segmentation  
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:  Guo, Yu;  Liu, Ryan Wen;  Qu, Jingxiang;  Lu, Yuxu;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载:57/0  |  提交时间:2023/11/17
Inland waterways  vessel traffic surveillance  deep neural network  anti-occlusion tracking  data fusion  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载:242/30  |  提交时间:2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
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:352/115  |  提交时间:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载:219/0  |  提交时间:2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 3, 页码: 14
作者:  Xiong, Gang;  Li, Zhishuai;  Wu, Huaiyu;  Chen, Shichao;  Dong, Xisong;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载:215/0  |  提交时间:2021/03/08
urban public transportation  cyber-physical-social system  advanced public transportation systems  big data  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载:215/49  |  提交时间:2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132
作者:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(7159Kb)  |  收藏  |  浏览/下载:229/33  |  提交时间:2021/03/29
Object detection  Anchor-free detector  Foreground region proposal  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
Adobe PDF(3947Kb)  |  收藏  |  浏览/下载:199/80  |  提交时间:2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning