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科研机构
自动化研究所 [8]
地理科学与资源研究所 [2]
合肥物质科学研究院 [2]
兰州理工大学 [1]
计算技术研究所 [1]
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期刊论文 [13]
会议论文 [1]
发表日期
2021 [14]
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DVFENet: Dual-branch voxel feature extraction network for 3D object detection
期刊论文
NEUROCOMPUTING, 2021, 卷号: 459, 页码: 201-211
作者:
He, Yunqian
;
Xia, Guihua
;
Luo, Yongkang
;
Su, Li
;
Zhang, Zhi
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/12/28
Point cloud
3D object detection
Graph convolutional network
Attention mechanism
Decoupled RPN
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network
期刊论文
NEUROCOMPUTING, 2021, 卷号: 454, 页码: 417-429
作者:
Sang, Lei
;
Xu, Min
;
Qian, Shengsheng
;
Wu, Xindong
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2021/08/15
Recommendation system
Knowledge Graph
Relational Path Embedding
Neural Collaborative Filtering
Residual Recurrent Network
AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction
期刊论文
NEUROCOMPUTING, 2021, 卷号: 445, 页码: 298-308
作者:
Zhou, Hao
;
Ren, Dongchun
;
Xia, Huaxia
;
Fan, Mingyu
;
Yang, Xu
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/08/15
Pedestrian trajectory prediction
Graph neural networks
Spatio-temporal graph
Graph attention
Interactive prostate MR image segmentation based on ConvLSTMs and GGNN
期刊论文
Neurocomputing, 2021, 卷号: 438, 页码: 84-93
作者:
Tian, Zhiqiang
;
Li, Xiaojian
;
Chen, Zhang
;
Zheng, Yaoyue
;
Fan, Hongcheng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/04/12
Automation
Diseases
Magnetic resonance
Magnetic resonance imaging
Statistical tests
Urology
Automated methods
Graph neural networks
Intensity distribution
Interactive segmentation methods
Prostate cancers
Prostate segmentation
State-of-the-art methods
User interaction
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2021, 页码: 28
作者:
Li, Mingxiao
;
Gao, Song
;
Lu, Feng
;
Liu, Kang
;
Zhang, Hengcai
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/06/10
Human activity intensity prediction
graph convolutional networks
social interaction
mobile phone data
human mobility
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification
期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 卷号: 17, 期号: 1, 页码: 13
作者:
Fu, Sichao
;
Liu, Weifeng
;
Guan, Weili
;
Zhou, Yicong
;
Tao, Dapeng
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/06/15
Graph representation learning
graph convolutional networks
semisupervised classification
GraphAIR: Graph representation learning with neighborhood aggregation and interaction
期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:
Hu, Fenyu
;
Zhu, Yanqiao
;
Wu, Shu
;
Huang, Weiran
;
Wang, Liang
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/29
Graph representation learning
Neighborhood aggregation
Graph neural networks
Neighborhood interaction
Node classification
Link prediction
A Hybrid Model for Named Entity Recognition on Chinese Electronic Medical Records
期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2021, 卷号: 20
作者:
Wang, Yu
;
Sun, Yining
;
Ma, Zuchang
;
Gao, Lisheng
;
Xu, Yang
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/06/15
Named entity recognition
Chinese electronic medical records
neural networks
hybrid models
Robust Graph Neural Networks Against Adversarial Attacks via Jointly Adversarial Training
会议论文
上海, 2020-12-3
作者:
Tian Hu
;
Ye Bowei
;
Zheng Xiaolong
;
Zhang Xingwei
;
Wu Dash Desheng
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/07/04
FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 期号: 0, 页码: 2341-2355
作者:
Luo, Mandi
;
Cao, Jie
;
Ma, Xin
;
Zhang, Xiaoyu
;
He, Ran
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2021/04/21
Face recognition
Strain
Geometry
Frequency division multiplexing
Training
Task analysis
Semantics
Face augmentation
deformation-invariant face recognition
face disentanglement
graph convolutional networks
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