ST-Data

UrbanFM: Inferring Fine-Grained Urban Flows
KDD 2019, ADS Track (acceptance rate: 20.7%)
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
PDF Code Dataset Project Project Video
UrbanFM: Inferring Fine-Grained Urban Flows
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
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DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
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
PDF Project
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
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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
PDF Cite Code Project Ranked 15th in IJCAI 2018
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
AI 2018
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi*, Tianrui Li
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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
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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
PDF Cite Code Dataset Project Project DOI Ranked 4th in AAAI 2017 Cited over 2,000
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
ST-MVL: Filling missing values in geo-sensory time series data
Many sensors have been deployed in the physical world, generating massive geo-tagged time series data. In reality, we usually lose …
Xiuwen Yi*, Yu Zheng, Junbo Zhang, Tianrui Li
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ST-MVL: Filling missing values in geo-sensory time series data
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*
PDF Code Dataset Project