Deep Learning

Deep Distributed Fusion Network for Air Quality Prediction

KDD 2018, ADS Track (acceptance rate: 14.0%)

Xiuwen Yi*, Junbo Zhang#, Zhaoyuan Wang, Tianrui Li, Yu Zheng

Deep Distributed Fusion Network for Air Quality Prediction

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction

Numerous sensors have been deployed in different geospatial locations to continuously and cooperatively monitor the surrounding …

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

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction

Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi*, Tianrui Li

Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks

When Will You Arrive Estimating Travel Time Based on Deep Neural Networks

Estimating the travel time of any path (denoted by a sequence of connected road segments) in a city is of great importance to traffic …

Dong Wang*, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

We proposed a deep-learning-based approach, called ST-ResNet, to collectively forecast the inflow and outflow of crowds in each and every region of a city.

Junbo Zhang, Yu Zheng, Dekang Qi

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

DNN-Based Prediction Model for Spatio-Temporal Data

Advances in location-acquisition and wireless communication technologies have led to wider availability of spatio-temporal (ST) data, …

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi*

Deep Learning for Spatio-Temporal Data

Leveraging deep learning techniques and big spatio-temporal data to empower intelligent applications in a city.

Deep Learning for Spatio-Temporal Data

Supervised Deep Learning with Auxiliary Networks

Deep learning well demonstrates its potential in learning latent feature representations. Recent years have witnessed an increasing …

Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan