Deep Learning

GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference

We proposed a method for geo-sensory data inference, to collectively infer the readings of unobserved locations.

Songyu Ke, Yuxuan Liang, Xiuwen Yi*, Junbo Zhang, Yu Zheng

GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference

VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator

We proposed a new neural module to generate dynamic adaptive graphs for traffic forecasting.

Songyu Ke, Chenyu Wu, Jinjin Guo, Junbo Zhang, Yu Zheng

VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator

Multi-Memory enhanced Separation Network for Indoor Temperature Prediction

Zhewen Duan, Xiuwen Yi*, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng

Multi-Memory enhanced Separation Network for Indoor Temperature Prediction

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

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Xiyue Zhang, Chao Huang*, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

IEEE TKDE, 2020

Junkai Sun*, Junbo Zhang#, Qiaofei Li, Xiuwen Yi*, Yuxuan Liang, Yu Zheng

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction

[ORAL] KDD 2020, Research Track (acceptance rate: 16.8%)

Ting Li, Junbo Zhang#, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng

AutoST: Efficient Neural Architecture Search for Spatio-Temporal 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