G. Jin

发表

Modeling Spatiotemporal Geographic-Semantic Dynamics for Urban Hotspots Prediction

G. Jin, 2020 .

In situ FT-IR Study on the Direct Gas Phase Epoxidation of Propylene over Ag-MoO3 Catalyst

G. Lu, Xiaofei Liu, G. Jin, 2006 .

GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction

Guangyin Jin, Hengyu Sha, Jincai Huang, 2021, Neurocomputing.

Silicon Surface Modification with Supported Phospholipids Bilayer for Biosensor based on Imaging Ellipsometry

W. Liang, Yanyan Chen, G. Jin, 2009 .

Deep multi-view graph-based network for citywide ride-hailing demand prediction

Jincai Huang, Yanghe Feng, G. Jin, 2022, Neurocomputing.

Abstract—Short-term passenger flow prediction is an important but challenging task for better managing urban rail transit (URT) systems. Some emerging deep learning models

Lixing Yang, Jinlei Zhang, G. Jin, 2022 .

UFSP-Net: a neural network with spatio-temporal information fusion for urban fire situation prediction

Xingchen Hu, Guangyin Jin, Jincai Huang, 2020, IOP Conference Series: Materials Science and Engineering.

Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction

Jinlei Zhang, G. Jin, Fuxian Li, 2022, IEEE Transactions on Intelligent Transportation Systems.

Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation pdf

Guangyin Jin, Jincai Huang, Fuxian Li, 2021, ArXiv.

Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation

Guangyin Jin, Jincai Huang, Fuxian Li, 2021, 2105.13591.

STGNN-TTE: Travel time estimation via spatial-temporal graph neural network

Jincai Huang, Jinlei Zhang, G. Jin, 2022, Future Gener. Comput. Syst..

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution pdf

Depeng Jin, Guangyin Jin, Jie Feng, 2021, ACM Trans. Knowl. Discov. Data.

Adaptive Dual-View WaveNet for urban spatial-temporal event prediction

Jincai Huang, G. Jin, Yanyun Liu, 2021, Inf. Sci..

Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network

Guangyin Jin, Yan Cui, Liang Zeng, 2020, Transportation Research Part C: Emerging Technologies.

Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach pdf

Ziyou Gao, Lixing Yang, Guangyin Jin, 2021, IEEE Transactions on Intelligent Transportation Systems.

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

G. Jin, Yu Zheng, Yuchen Fang, 2023, 2303.14483.

Addressing Crime Situation Forecasting Task with Temporal Graph Convolutional Neural Network Approach

Guangyin Jin, Yanghe Feng, Jincai Huang, 2020, 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

G. Jin, Yu Zheng, Yuchen Fang, 2023, IEEE Transactions on Knowledge and Data Engineering.

Reversibly switchable DNA nanocompartment on surfaces.

Youdong Mao, Runsheng Chen, Q. Ouyang, 2004, Nucleic acids research.

CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale

Guangyin Jin, Yanghe Feng, Jincai Huang, 2020, Knowl. Based Syst..

Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction

Yue Liu, Depeng Jin, G. Jin, 2022, International Conference on Information and Knowledge Management.

Urban hotspot forecasting via automated spatio-temporal information fusion

G. Jin, Hengyu Sha, Zhexu Xi, 2023, Appl. Soft Comput..

Dual Graph Convolution Architecture Search for Travel Time Estimation

G. Jin, Huan Yan, Yong Li, 2023, ACM Transactions on Intelligent Systems and Technology.

Hierarchical Neural Architecture Search for Travel Time Estimation

Guangyin Jin, Jincai Huang, Fuxian Li, 2021, SIGSPATIAL/GIS.

Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics

Xingchen Hu, Guangyin Jin, Yanghe Feng, 2020, Appl. Soft Comput..

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction

Jincai Huang, Yanghe Feng, G. Jin, 2020, ArXiv.

Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss

Xia Zhao, Qi Wang, Guangyin Jin, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems

Lixing Yang, Jinlei Zhang, G. Jin, 2023, Int. J. Gen. Syst..

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting

G. Jin, Yuchen Fang, Yongjun Xu, 2023, ArXiv.

Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation

Jincai Huang, G. Jin, Huan Yan, 2021, ACM Transactions on Spatial Algorithms and Systems.

Dual Graph Convolution Architecture Search for Travel Time Estimation

G. Jin, Huan Yan, Yong Li, 2023, ACM Transactions on Intelligent Systems and Technology.

Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction

G. Jin, Lingbo Liu, Fuxian Li, 2023, AAAI.