ST-Data

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

ACL 2019 (acceptance rate: 25.7%)

Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

Predicting flows (e.g. the traffic of vehicles, crowds and bikes), consisting of the in-out traffic at a node and transitions between …

Junbo Zhang#, Yu Zheng, Junkai Sun, Dekang Qi

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

Predicting flows (e.g. the traffic of vehicles, crowds and bikes), consisting of the in-out traffic at a node and transitions between …

Junbo Zhang#, Yu Zheng, Junkai Sun, Dekang Qi

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction

As urban crimes (e.g., burglary and robbery) negatively impact our everyday life and must be addressed in a timely manner, predict- ing …

Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla

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