Guangyin Jin

43 papers A* 2A 2Journal 33Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Diffusion-based Kriging Model with Graph-enhanced Attention.
WWW
Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Guangyin Jin, Mengzhu Wang, Xiaoying Bai
2026 J jnl
Integrating adaptive divide-and-conquer and large language model for scheduling large-scale tasks in electromagnetic satellite systems.
Expert Syst. Appl.
Xuemei Jiang, Jiting Li, Rammohan Mallipeddi, Guangyin Jin, Jian Wu, Lining Xing, Yanjie Song
2026 J jnl
Physics-Informed Neural Network with Adaptive Clustering Learning Mechanism for Information Popularity Prediction.
CoRR
Guangyin Jin, Xiaohan Ni, Yanjie Song, Kun Wei, Jie Zhao, Leiming Jia, Witold Pedrycz
2025 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
IEEE Trans. Knowl. Data Eng.
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2025 A conf
M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction.
CIKM
Guangyin Jin, Sicong Lai, Xiaoshuai Hao, Jinlei Zhang, Mingtao Zhang
2025 J jnl
M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction.
CoRR
Guangyin Jin, Sicong Lai, Xiaoshuai Hao, Mingtao Zhang, Jinlei Zhang
2025 J jnl
Synergistic Prompting for Robust Visual Recognition with Missing Modalities.
CoRR
Zhihui Zhang, Luanyuan Dai, Qika Lin, Yunfeng Diao, Guangyin Jin, Yufei Guo, Jing Zhang, Xiaoshuai Hao
2025 J jnl
Will the Technological Singularity Come Soon? Modeling the Dynamics of Artificial Intelligence Development via Multi-Logistic Growth Process.
CoRR
Guangyin Jin, Xiaohan Ni, Kun Wei, Jie Zhao, Haoming Zhang, Leiming Jia
2024 J jnl
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
IEEE Trans. Knowl. Data Eng.
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
2024 J jnl
Dynamic multi-scale spatial-temporal graph convolutional network for traffic flow prediction.
Knowl. Based Syst.
Ming Gao, Zhuoran Du, Hongmao Qin, Wei Wang, Guangyin Jin, Guotao Xie
2024 J jnl
Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness.
Inf. Fusion
Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou
2024 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
IEEE Trans. Knowl. Data Eng.
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng
2024 J jnl
Spatio-temporal Dual Graph Neural Networks for Travel Time Estimation.
ACM Trans. Spatial Algorithms Syst.
Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li
2023 J jnl
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR
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
2023 J jnl
A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems.
Int. J. Gen. Syst.
Jinlei Zhang, Hua Li, Shuxin Zhang, Lixing Yang, Guangyin Jin, Jianguo Qi
2023 J jnl
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst.
Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang
2023 J jnl
Dual Graph Convolution Architecture Search for Travel Time Estimation.
ACM Trans. Intell. Syst. Technol.
Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang
2023 J jnl
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
ACM Trans. Knowl. Discov. Data
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
2023 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
CoRR
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
2023 J jnl
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting.
CoRR
Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
2023 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng
2023 A* conf
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction.
AAAI
Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang
2023 J jnl
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction.
CoRR
Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang
2023 J jnl
Urban hotspot forecasting via automated spatio-temporal information fusion.
Appl. Soft Comput.
Guangyin Jin, Hengyu Sha, Zhexu Xi, Jincai Huang
2022 J jnl
Adaptive Dual-View WaveNet for urban spatial-temporal event prediction.
Inf. Sci.
Guangyin Jin, Chenxi Liu, Zhexu Xi, Hengyu Sha, Yanyun Liu, Jincai Huang
2022 J jnl
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction.
CoRR
Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang
2022 A conf
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction.
CIKM
Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin
2022 J jnl
Deep multi-view graph-based network for citywide ride-hailing demand prediction.
Neurocomputing
Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang
2022 — conf
Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks.
SpatialDI
Huan Yan, Guangyin Jin, Deng Wang, Yue Liu, Yong Li
2022 J jnl
Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach.
IEEE Trans. Intell. Transp. Syst.
Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
2022 J jnl
STGNN-TTE: Travel time estimation via spatial-temporal graph neural network.
Future Gener. Comput. Syst.
Guangyin Jin, Min Wang, Jinlei Zhang, Hengyu Sha, Jincai Huang
2021 — conf
A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics.
SpatialDI
Hengyu Sha, Guangyin Jin, Guangquan Cheng, Jincai Huang, Kuihua Huang
2021 J jnl
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
CoRR
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li
2021 J jnl
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction.
Neurocomputing
Guangyin Jin, Hengyu Sha, Yanghe Feng, Qing Cheng, Jincai Huang
2021 — conf
Hierarchical Neural Architecture Search for Travel Time Estimation.
SIGSPATIAL/GIS
Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang
2021 J jnl
Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach.
CoRR
Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
2021 J jnl
Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation.
CoRR
Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li
2020 J jnl
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale.
Knowl. Based Syst.
Qi Wang, Guangyin Jin, Xia Zhao, Yang-He Feng, Jincai Huang
2020 J jnl
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction.
CoRR
Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang
2020 — conf
SDPN: A Neural Network Approach for E-hailing Car Supply and Demand Prediction.
BDET
Guangyin Jin, Cunchao Zhu, Yanghe Feng, Jincai Huang, Guangquan Chen, Zhenguo Du
2020 J jnl
Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics.
Appl. Soft Comput.
Guangyin Jin, Qi Wang, Cunchao Zhu, Yanghe Feng, Jincai Huang, Xingchen Hu
2019 — conf
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss.
IEEE BigData
Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang
2018 — conf
Addressing the Task of Rocket Recycling with Deep Reinforcement Learning.
ICIT
Guangyin Jin, Jincai Huang, Yang-He Feng, Guangquan Cheng, Zhong Liu, Qi Wang