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CASIA OpenIR
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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：243/41  |  提交时间：2022/06/16
Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 9, 期号: 11, 页码: 1-15
作者:  Yang, Linyao;  Lv, Chen;  Wang, Xiao;  Qiao, Ji;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1600Kb)  |  收藏  |  浏览/下载：217/29  |  提交时间：2022/06/15
entity alignment  integer programming  knowledge fusion  knowledge graph embedding  power dispatch  
Parallel crop planning based on price forecast 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 期号: 1, 页码: 22
作者:  Fan, Menghan;  Kang, Mengzhen;  Wang, Xiujuan;  Hua, Jing;  He, Chaoxing;  Wang, Fei-Yue
Adobe PDF(2074Kb)  |  收藏  |  浏览/下载：328/68  |  提交时间：2021/12/28
agent-based modeling  crop planning  parallel agricultural management  price prediction  
An IVC-Based Nuclear Emergency Parallel Evacuation System 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 4, 页码: 844-855
作者:  Tan, Ke;  Yang, Linyao;  Liu, Xin;  Xu, Yancai;  Lin, Jiazhen;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：302/45  |  提交时间：2021/11/02
Computational modeling  Planning  Optimization  Roads  Mathematical model  Collaboration  Power generation  ACP  intelligent vehicle collaborative system  nuclear evacuation  optimization  parallel intelligence  
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：257/62  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning