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科研机构
北京航空航天大学 [31]
内容类型
期刊论文 [17]
会议论文 [14]
发表日期
2019 [2]
2018 [6]
2017 [5]
2015 [2]
2014 [6]
2013 [1]
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专题:北京航空航天大学
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Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling
会议论文
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019-01-01
作者:
Wang, Yuandong
;
Yin, Hongzhi
;
Chen, Hongxu
;
Wo, Tianyu
;
Xu, Jie
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Demand Prediction
Graph Convolution
Multi-task Learning
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach
会议论文
2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019), 2019-01-01
作者:
Wang, Yansheng
;
Tong, Yongxin
;
Long, Cheng
;
Xu, Pan
;
Xu, Ke
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/30
Decision making
Graph theory
Learning algorithms
Machine learning
Pattern matching
Bi-Partite graph matching
Effectiveness and efficiencies
Efficient implementation
On-line algorithms
Problem formulation
Real time decision-making
Reinforcement learning approach
Synthetic datasets
Reinforcement learning
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN
会议论文
WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018), 2018-01-01
作者:
Peng, Hao
;
Li, Jianxin
;
He, Yu
;
Liu, Yaopeng
;
Bao, Mengjiao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/30
Hierarchical Text Classification
Recursive Regularization
Graph-of-words
Deep Learning
Deep Convolutional Neural Networks
NEGAN:Network Embedding based on Generative Adversarial Networks
会议论文
Proceedings of the International Joint Conference on Neural Networks
作者:
Ban, Y.
;
Pu, J.
;
Chen, Y.
;
Wang, Y.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Data mining
Population dynamics
Topology
Adversarial networks
Community detection
Content information
Graph topology
Network embedding
Real-world networks
Unsupervised network
unsupervised representation learning
Classification (of information)
Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT images
期刊论文
SCIENTIFIC REPORTS, 2018, 卷号: 8, 页码: 10700
作者:
Lu, Xuesong
;
Xie, Qinlan
;
Zha, Yunfei
;
Wang, Defeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
article
controlled study
learning
liver
x-ray computed tomography
Calculate Joint Probability Distribution of Steady Directed Cyclic Graph with Local Data and Domain Casual Knowledge
期刊论文
CHINA COMMUNICATIONS, 2018, 卷号: 15, 页码: 146-155
作者:
Zhang, Qin
;
Qiu, Kun
;
Zhang, Zhan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
directed cyclic graph
probabilistic reasoning
parameter learning
causality
complex network
Graph CNNs for Urban Traffic Passenger Flows Prediction
会议论文
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI), 2018-01-01
作者:
Li, Jing
;
Peng, Hao
;
Liu, Lin
;
Xiong, Guixi
;
Du, Bowen
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Urban traffic passenger flows prediction
deep learning
graph cnn
graph flows matrices
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 1637-1651
作者:
Zhang, Qin
;
Yao, Quanying
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Causality
knowledge representation
probabilistic inference
statistical data
uncertainty
Multimodal Data fusion for SRGPS antenna motion error reduction
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 页码: 12035-12050
作者:
Feng, Tao
;
Mao, Xia
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Antenna motion
SRGPS
Error
Multiple reference station
Weighted average
Graph learning
THE COUNTERINTUITIVE MECHANISM OF GRAPH-BASED SEMI-SUPERVISED LEARNING IN THE BIG DATA REGIME
会议论文
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017-01-01
作者:
Mai, Xiaoyi
;
Couillet, Romain
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
semi-supervised learning
graphs
performance analysis
random matrix theory
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