Meta Learning

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph

Zheyi Pan*, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang#, Yu Zheng

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph

Fine-grained Urban Flow Prediction

Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S.Rosenblum, Roger Zimmermann

Fine-grained Urban Flow Prediction

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

Spatio-Temporal Meta Learning for Urban Traffic Prediction

Zheyi Pan*, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang#, Yu Zheng

Spatio-Temporal Meta Learning for Urban Traffic Prediction

Meta Learning for Spatio-Temporal Data

Employing meta learning techniques for spatio-temporal data mining.

Meta Learning for Spatio-Temporal Data

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

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

Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning