中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [8]
计算技术研究所 [6]
地理科学与资源研究所 [5]
合肥物质科学研究院 [2]
西安光学精密机械研究... [2]
力学研究所 [1]
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OAI收割 [27]
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期刊论文 [25]
会议论文 [2]
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2025 [1]
2024 [4]
2023 [2]
2022 [7]
2021 [10]
2020 [2]
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Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Cheng, Shifen
;
Zhang, Tong
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/02/24
Spatiotemporal prediction
Spatiotemporal data missing
Causal dilatation convolution
Graph attention network
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model
期刊论文
OAI收割
SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2024, 2024, 卷号: 14619, 页码: 242-251
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/10/21
Spatiotemporal prediction
spatiotemporal data missing
causal dilatation convolution
graph attention network
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:
He, Yintao
;
Li, Bing
;
Wang, Ying
;
Liu, Cheng
;
Li, Huawei
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/12/06
Task analysis
Sparse matrices
Convolution
Convolutional neural networks
Design automation
Neural networks
Integrated circuits
Graph convolutional network
hardware acceleration
processing-in-memory
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting
期刊论文
OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 22208-22219
作者:
Qin, Yanjun
;
Tao, Xiaoming
;
Fang, Yuchen
;
Luo, Haiyong
;
Zhao, Fang
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/12/06
Time series analysis
Convolution
Forecasting
Correlation
Task analysis
Roads
Predictive models
Graph convolution network (GCN)
spatial-temporal data
traffic forecasting
Multiscale Random-Shape Convolution and Adaptive Graph Convolution Fusion Network for Hyperspectral Image Classification
期刊论文
OAI收割
IEEE Transactions on Geoscience and Remote Sensing, 2024, 卷号: 62
作者:
Gao, Hongmin
;
Sheng, Runhua
;
Chen, Zhonghao
;
Liu, Haiyun
;
Xu, Shufang
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/08/13
Convolution neural network (CNN)
feature fusion
graph convolution network (GCN)
hyperspectral image(HSI) classification
An anomaly aware network embedding framework for unsupervised anomalous link detection
期刊论文
OAI收割
DATA MINING AND KNOWLEDGE DISCOVERY, 2023, 页码: 34
作者:
Duan, Dongsheng
;
Zhang, Cheng
;
Tong, Lingling
;
Lu, Jie
;
Lv, Cunchi
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/12/04
Anomalous link detection
Network embedding
Graph auto-encoder
Graph convolution network
Graph Reasoning Module for Alzheimer’s Disease Diagnosis: A Plug-and-Play Method
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 卷号: 31, 页码: 4773-4780
作者:
Fan, Chen-Chen
;
Yang, Hongjun
;
Zhang, Chutian
;
Peng, Liang
;
Zhou, Xiaohu
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/07/03
Alzheimer's disease diagnosis
graph convolution network
plug-and-play
structural magnetic resonance imaging
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Luo, Guiyang
;
Zhang, Hui
;
Yuan, Quan
;
Li, Jinglin
;
Wang, Fei-Yue
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/07/25
Roads
Correlation
Feature extraction
Sensors
Deep learning
Convolution
Sensor phenomena and characterization
Traffic forecasting
graph convolutional network
spatial-temporal networks
Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Zhou, Pengfei
;
Ying, Kaining
;
Wang, Zhenhua
;
Guo, Dongyan
;
Bai, Cong
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/12/07
Task analysis
Convolution
Semantics
Internet
Bit error rate
Visualization
Pipelines
Graph convolutional network (GCN)
multimodal data
named entity disambiguation (NED)
self-supervised learning (SSL)
graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography
会议论文
OAI收割
美国, 2022-2
作者:
Wang Y(王宇)
;
Bian C(边畅)
;
Du Y(杜洋)
;
Tian J(田捷)
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/06/14
Fluorescence molecular tomography
Graph convolution network