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北京航空航天大学 [6]

自动化研究所 [2]

兰州理工大学 [1]

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	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：7/0 \| 提交时间：2021/12/17 Traffic flow deep learning graph convolution (GCN) Long Short-Term Memory (LSTM) spatial-temporal features
	A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261 作者: Wang, Rongrong; Luo, Haiyong; Wang, Qu; Li, Zhaohui; Zhao, Fang 收藏 \| 浏览/下载：43/0 \| 提交时间：2020/12/10 Wireless fidelity Feature extraction Fingerprint recognition Residual neural networks Deep learning Robustness Degradation Convolutional neural network (CNN) indoor positioning long short-term memory (LSTM) residual network spatial-temporal
	A spatial-temporal attention model for human trajectory prediction 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 965-974 作者: Zhao, Xiaodong; Chen, Yaran; Guo, Jin; Zhao, Dongbin 收藏 \| 浏览/下载：4/0 \| 提交时间：2020/08/03 Attention mechanism long-short term memory (LSTM) spatial-temporal model trajectory prediction
	A Spatial-Temporal Attention Model forHuman Trajectory Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 965-974 作者: Xiaodong Zhao; Yaran Chen; Jin Guo; Dongbin Zhao 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/03/11 Attention mechanism long-short term memory (LSTM) spatial-temporal model trajectory prediction
	A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27 作者: Zhang, Yang; Cheng, Tao; Ren, Yibin; Xie, Kun 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/03/20 Short-term traffic forecasting spatial-temporal dependency network topology graph convolution residual long short-term memory
	Deep-learning-based Wind Speed Forecasting Considering Spatial-temporal Correlations with Adjacent Wind Turbines 期刊论文 2019, 页码: 623-632 作者: Shi, Xiaoyu; Huang, Shengzhi; Huang, Qiang; Lei, Xuewen; Li, Jiangfeng 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/20 Wind speed prediction spatial-temporal correlation wavelet coherence transformation analysis long short term memory
	Improved Panoramic Representation via Bidirectional Recurrent View Aggregation for Three-Dimensional Model Retrieval 期刊论文 IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2019, 卷号: 39, 页码: 65-76 作者: Xu, Cheng; Zhang, Cheng; Zhou, Xiaochen; Leng, Biao 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Deep neural networks 3 d model retrievals 3D shape retrieval Effective approaches High-level features Panoramic informations Panoramic representation Shape information Spatial correlations Long short-term memory
	Traffic congestion prediction based on long-short term memory neural network models 会议论文 CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals 作者: Chen, M.; Yu, G.; Chen, P.; Wang, Y. 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/30 Brain Complex networks Deep learning Forecasting Long short-term memory Motor transportation Speed Urban transportation Congestion prediction Learning Theory Mathematical equations Simulation technique Spatial correlations Temporal and spatial correlation Traffic speed Transportation researchers Traffic congestion
	Attentive crowd flow machines 会议论文 MM 2018 - Proceedings of the 2018 ACM Multimedia Conference 作者: Liu, L.; Zhang, R.; Peng, J.; Li, G.; Du, B. 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/30 Data storage equipment Forecasting Street traffic control Dynamic representation Mobility datum Spatial temporal model Spatial-temporal features State-of-the-art methods Traffic flow prediction Unified neural networks Urban traffic management Long short-term memory
	A hybrid deep learning approach for urban expressway travel time prediction considering spatial-temporal features 会议论文 IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 作者: Zhang, Z.; Chen, P.; Wang, Y.; Yu, G. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Brain Convolution Forecasting Highway traffic control Intelligent systems Intelligent vehicle highway systems Long short-term memory Traffic congestion Travel time Convolution neural network Convolutional neural network Learning neural networks Non-parametric algorithm Spatial-temporal features Temporal correlations Travel time forecasting Travel time prediction Deep learning

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