Chinese | English

Search in the results

CASIA OpenIR

Browse/Search Results:  1-10 of 177 Help

  Show only claimed items
Selected(0)Clear Items/Page:    Sort:
Geometry Problem Solving Based on Counter-factual Evolutionary Reasoning 会议论文
, New Zealand, 2023
Authors:  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)  |  Favorite  |  View/Download：26/4  |  Submit date：2023/06/26
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
Authors:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua;  Wang, Fei-Yue
Favorite  |  View/Download：70/0  |  Submit date：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, 页码: 12
Authors:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  Favorite  |  View/Download：96/2  |  Submit date：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
Authors:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  Favorite  |  View/Download：198/48  |  Submit date：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing 会议论文
, 成都希尔顿酒店, 2022年8月
Authors:  Zhao, Meihua;  Xiong, Gang;  Wang, Weixing;  Fang, Qihang;  Shen, Zhen;  Wan, Li;  Zhu, Fenghua
Adobe PDF(1495Kb)  |  Favorite  |  View/Download：17/1  |  Submit date：2023/06/27
Empirical Learning of Decision Parameters for Agent-Based Model 会议论文
, Macau, China, 2022
Authors:  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)  |  Favorite  |  View/Download：27/3  |  Submit date：2023/06/26
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
Authors:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  Favorite  |  View/Download：18/3  |  Submit date：2023/06/26
基于稀疏正则化的卷积神经网络模型剪枝方法 期刊论文
计算机工程, 2021, 卷号: 47, 期号: 10, 页码: 61-66
Authors:  韦越;  陈世超;  朱凤华;  熊刚
Adobe PDF(1647Kb)  |  Favorite  |  View/Download：127/21  |  Submit date：2022/04/08
深度学习, 模型剪枝 , 卷积神经网络 , 稀疏约束, 模型压缩  
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
Authors:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
Favorite  |  View/Download：104/0  |  Submit date：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
Authors:  Fan, Siqi;  Dong, Qiulei;  Zhu, Fenghua;  Lv, Yisheng;  Ye, Peijun;  Wang, Feiyue
Adobe PDF(4245Kb)  |  Favorite  |  View/Download：93/12  |  Submit date：2022/06/16