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Guangyin Jin
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2020 – today
- 2024
- [j15]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: 102397 (2024) - [j14]Guangyin Jin
, Yuxuan Liang
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5388-5408 (2024) - [j13]Guangyin Jin
Spatio-temporal Dual Graph Neural Networks for Travel Time Estimation. ACM Trans. Spatial Algorithms Syst. 10(3): 23:1-23:22 (2024) - 2023
- [j12]Guangyin Jin, Hengyu Sha, Zhexu Xi, Jincai Huang:
Urban hotspot forecasting via automated spatio-temporal information fusion. Appl. Soft Comput. 136: 110087 (2023) - [j11]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): 694-721 (2023) - [j10]Guangyin Jin
Dual Graph Convolution Architecture Search for Travel Time Estimation. ACM Trans. Intell. Syst. Technol. 14(4): 64:1-64:23 (2023) - [j9]Guangyin Jin
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 24(8): 8820-8830 (2023) - [j8]Fuxian Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17(1): 9:1-9:21 (2023) - [c8]Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang:
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. AAAI 2023: 14268-14276 - [i10]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 abs/2303.14483 (2023) - [i9]Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu:
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR abs/2307.14596 (2023) - [i8]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 abs/2309.01194 (2023) - [i7]Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023) - [i6]Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang:
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. CoRR abs/2311.08635 (2023) - 2022
- [j7]Guangyin Jin
STGNN-TTE: Travel time estimation via spatial-temporal graph neural network. Future Gener. Comput. Syst. 126: 70-81 (2022) - [j6]Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang:
Deep multi-view graph-based network for citywide ride-hailing demand prediction. Neurocomputing 510: 79-94 (2022) - [j5]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: 315-330 (2022) - [j4]Jinlei Zhang
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): 21034-21049 (2022) - [c7]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: 1084-1093 - [c6]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: 19-34 - [i5]Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang:
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. CoRR abs/2207.10830 (2022) - 2021
- [j3]Guangyin Jin, Hengyu Sha, Yanghe Feng, Qing Cheng, Jincai Huang:
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. Neurocomputing 455: 353-367 (2021) - [c5]Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Hierarchical Neural Architecture Search for Travel Time Estimation. SIGSPATIAL/GIS 2021: 91-94 - [c4]Hengyu Sha, Guangyin Jin, Guangquan Cheng, Jincai Huang, Kuihua Huang:
A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics. SpatialDI 2021: 3-14 - [i4]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. CoRR abs/2104.14917 (2021) - [i3]Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li:
Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation. CoRR abs/2105.13591 (2021) - [i2]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 abs/2108.09292 (2021) - 2020
- [j2]Guangyin Jin
Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. Appl. Soft Comput. 97(Part B): 106730 (2020) - [j1]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) - [c3]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: 63-66 - [i1]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 abs/2007.15189 (2020)
2010 – 2019
- 2019
- [c2]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: 1460-1469 - 2018
- [c1]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: 284-290
Coauthor Index
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