Deep Learning

Predicting and ranking box office revenue of movies based on big data

Information Fusion

Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng

Predicting and ranking box office revenue of movies based on big data

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

Urban flow prediction from spatiotemporal data using machine learning: A survey

Information Fusion

Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang

Urban flow prediction from spatiotemporal data using machine learning: A survey

CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach

Qianru Wang*, Junbo Zhang#, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun*, Zhiwen Yu, Yu Zheng

CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach

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

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach

CIKM 2019, Applied Research Track (acceptance rate: 21.8%)

Xiuwen Yi*, Zhewen Duan, Ting Li, Junbo Zhang#, Tianrui Li, Yu Zheng

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach

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

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

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

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