中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共52条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：6/0  |  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：25/0  |  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：49/0  |  提交时间：2023/11/17
Inland waterways  vessel traffic surveillance  deep neural network  anti-occlusion tracking  data fusion  
Geometry Problem Solving Based on Counter-factual Evolutionary Reasoning 会议论文
, New Zealand, 2023
作者:  Song B(宋冰);  Xiong G(熊刚);  Shen Z(沈震);  Zhu F(朱凤华);  Lv Y（吕宜生）;  Ye P（叶佩军）
Adobe PDF(1318Kb)  |  收藏  |  浏览/下载：153/70  |  提交时间：2023/06/26
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：222/29  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Empirical Learning of Decision Parameters for Agent-Based Model 会议论文
, Macau, China, 2022
作者:  Song B(宋冰);  Xiong G(熊刚);  Zhu F（朱凤华）;  Wu X（武许可）;  Lv Y（吕宜生）;  Ye P（叶佩军）
Adobe PDF(1359Kb)  |  收藏  |  浏览/下载：103/40  |  提交时间：2023/06/26
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：345/115  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：86/18  |  提交时间：2023/06/26
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：202/0  |  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  
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation 会议论文
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021-6-19
作者:  Fan, Siqi;  Dong, Qiulei;  Zhu, Fenghua;  Lv, Yisheng;  Ye, Peijun;  Wang, Feiyue
Adobe PDF(4245Kb)  |  收藏  |  浏览/下载：178/29  |  提交时间：2022/06/16