Guangyin Jin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Crime Prevention

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou
Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. Inf. Fusion 108 (2024)
Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. AAAI (2023)
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. CoRR (2023)
Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR (2023)
Jinlei Zhang, Hua Li, Shuxin Zhang, Lixing Yang, Guangyin Jin, Jianguo Qi
A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems. Int. J. Gen. Syst. 52 (6) (2023)
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR (2023)
Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. CoRR (2023)
Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang
Dual Graph Convolution Architecture Search for Travel Time Estimation. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Guangyin Jin, Hengyu Sha, Zhexu Xi, Jincai Huang
Urban hotspot forecasting via automated spatio-temporal information fusion. Appl. Soft Comput. 136 (2023)
Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR (2023)
Guangyin Jin, Chenxi Liu, Zhexu Xi, Hengyu Sha, Yanyun Liu, Jincai Huang
Adaptive Dual-View WaveNet for urban spatial-temporal event prediction. Inf. Sci. 588 (2022)
Guangyin Jin, Min Wang, Jinlei Zhang, Hengyu Sha, Jincai Huang
STGNN-TTE: Travel time estimation via spatial-temporal graph neural network. Future Gener. Comput. Syst. 126 (2022)
Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Huan Yan, Guangyin Jin, Deng Wang, Yue Liu, Yong Li
Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks. SpatialDI (2022)
Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. CIKM (2022)
Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang
Deep multi-view graph-based network for citywide ride-hailing demand prediction. Neurocomputing 510 (2022)
Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. CoRR (2022)
Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach. CoRR (2021)
Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang
Hierarchical Neural Architecture Search for Travel Time Estimation. SIGSPATIAL/GIS (2021)
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. CoRR (2021)
Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li
Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation. CoRR (2021)
Hengyu Sha, Guangyin Jin, Guangquan Cheng, Jincai Huang, Kuihua Huang
A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics. SpatialDI (2021)
Guangyin Jin, Hengyu Sha, Yanghe Feng, Qing Cheng, Jincai Huang
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. Neurocomputing 455 (2021)
Guangyin Jin, Cunchao Zhu, Yanghe Feng, Jincai Huang, Guangquan Chen, Zhengguo Du
SDPN: A Neural Network Approach for E-hailing Car Supply and Demand Prediction. BDET (2020)
Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction. CoRR (2020)
Qi Wang, Guangyin Jin, Xia Zhao, Yang-He Feng, Jincai Huang
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale. Knowl. Based Syst. 189 (2020)
Guangyin Jin, Qi Wang, Cunchao Zhu, Yanghe Feng, Jincai Huang, Xingchen Hu
Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. Appl. Soft Comput. 97 (Part B) (2020)
Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. IEEE BigData (2019)
Guangyin Jin, Jincai Huang, Yang-He Feng, Guangquan Cheng, Zhong Liu, Qi Wang
Addressing the Task of Rocket Recycling with Deep Reinforcement Learning. ICIT (2018)