Meta Learning

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
WWW 2021
Zheyi Pan*, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang#, Yu Zheng
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AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
Fine-grained Urban Flow Prediction
WWW 2021
Yuxuan Liang, Kun Ouyang, Junkai Sun*, Yiwei Wang, Junbo Zhang, Yu Zheng, David S.Rosenblum, Roger Zimmermann
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Fine-grained Urban Flow Prediction
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics
ECML-PKDD 2020
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
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Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics
Spatio-Temporal Meta Learning for Urban Traffic Prediction
IEEE TKDE
Zheyi Pan*, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang#, Yu Zheng
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Spatio-Temporal Meta Learning for Urban Traffic Prediction
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction
CIKM 2019, Applied Research Track (acceptance rate: 21.8%)
Zheyi Pan*, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang#, Yu Zheng
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Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction
Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning
[ORAL] KDD 2019, Research Track (acceptance rate: 14.2%)
Zheyi Pan*, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang
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Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning