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自动化研究所 [8]

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厦门大学 [1]

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	Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13 作者: Tian, Hu; Zhang, Xingwei; Zheng, Xiaolong; Zeng, Daniel Dajun 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/17 Gated recurrent unit graph representation learning learning dynamic dependencies stock prediction system
	ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting 期刊论文 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：13/0 \| 提交时间：2023/01/09 Index Terms- Traffic forecasting graph convolutional network spatial-temporal networks over-smoothing
	ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文 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：15/0 \| 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
	A deep learning traffic flow prediction framework based on multi-channel graph convolution 期刊论文 TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 卷号: 44, 期号: 8, 页码: 887-900 作者: Zhao, Yuanmeng; Cao, Jie; Zhang, Hong; Liu, Zongli 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/12/17 Traffic flow deep learning graph convolution (GCN) Long Short-Term Memory (LSTM) spatial-temporal features
	Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825 作者: Lu-Jie Zhou 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/09/13 On-board equipment fault classification capsule network attention mechanism focal loss
	Parallel Spatial-Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI 期刊论文 FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 12 作者: Liu, Xiuling; Shen, Yonglong; Liu, Jing; Yang, Jianli; Xiong, Peng 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/12/01 motor imagery EEG BCI spatial-temporal self-attention deep learning
	Spatio-Temporal Graph Structure Learning for Traffic Forecasting 会议论文 New York, USA, 2020-02 作者: Zhang Qi; Chang Jianlong; Meng Gaofeng; Xiang Shiming; Pan Chunhong 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/05/31
	Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted 作者: Yuanyuan Chen; Hongyu Chen; Peijun Ye; Yisheng Lv; Fei-Yue Wang 收藏 \| 浏览/下载：5/0 \| 提交时间：2020/10/16 Traffic Flow Prediction Ensemble Learning Deep Learning
	Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction 期刊论文 IEEE ACCESS, 2020, 卷号: 8 作者: Feng, Dong; Wu, Zhongcheng; Zhang, Jun; Wu, Ziheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/12/28 Correlation Convolution Feature extraction Predictive models Forecasting Market research Data models Traffic speed prediction spatial-temporal network graph convolutional network dynamic graph learning
	Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 9, 页码: 3283-3293 作者: Pang, Junbiao; Huang, Jing; Du, Yong; Yu, Haitao; Huang, Qingming 收藏 \| 浏览/下载：74/0 \| 提交时间：2019/12/10 Bus arriving time prediction recurrent neural network heterogenous measurement long-range dependencies multi-step-ahead prediction

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