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17条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：214/37  |  提交时间：2022/06/16
A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 9
作者:  Liang, Jing;  Tang, Ying;  Hare, Ryan;  Wu, Ben;  Wang, Fei-Yue
收藏  |  浏览/下载：202/0  |  提交时间：2022/01/27
Games  Task analysis  Problem-solving  Petri nets  Random forests  Training  Radio frequency  Learning optimization  Petri nets (PNs)  serious game (SG)  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：299/59  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
Convolutional Ordinal Regression Forest for Image Ordinal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Zhu, Haiping;  Shan, Hongming;  Zhang, Yuheng;  Che, Lingfu;  Xu, Xiaoyang;  Zhang, Junping;  Shi, Jianbo;  Wang, Fei-Yue
收藏  |  浏览/下载：205/0  |  提交时间：2022/01/27
Decision trees  Estimation  Task analysis  Forestry  Vegetation  Random forests  Support vector machines  Differentiable decision trees  image ordinal estimation  ordinal distribution learning  ordinal regression (OR)  random forest  
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 21, 页码: 15884-15891
作者:  Zhang, Weishan;  Zhou, Tao;  Lu, Qinghua;  Wang, Xiao;  Zhu, Chunsheng;  Sun, Haoyun;  Wang, Zhipeng;  Lo, Sin Kit;  Wang, Fei-Yue
收藏  |  浏览/下载：230/0  |  提交时间：2022/01/27
Data models  COVID-19  Training  Collaborative work  Analytical models  Servers  Predictive models  AI  COVID-19  CT  federated learning  image processing  machine learning  X-Ray  
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Dai, Yuxin;  Xin, Kejun;  Zheng, Xiaolong;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1159Kb)  |  收藏  |  浏览/下载：364/128  |  提交时间：2021/12/28
Knowledge fusion  Knowledge reasoning  Decision-making  Hierarchical graph attention  Reinforcement learning  
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis 期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun Jason;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：249/0  |  提交时间：2021/11/02
COVID-19 diagnose  Knowledge attention mechanism  Knowledge-based representation learning  Knowledge embedding  
Multi-object tracking with hard-soft attention network and group-based cost minimization 期刊论文
NEUROCOMPUTING, 2021, 卷号: 447, 页码: 80-91
作者:  Liu, Yating;  Li, Xuesong;  Bai, Tianxiang;  Wang, Kunfeng;  Wang, Fei-Yue
Adobe PDF(2352Kb)  |  收藏  |  浏览/下载：315/79  |  提交时间：2021/08/15
Multi-object tracking  Attention mechanism  Unary and binary costs  Appearance-motion affinity  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：291/63  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
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：228/53  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning