Addressing the Task of Rocket Recycling with Deep Reinforcement Learning. - Guangyin Jin; Jincai Huang 001; Yang-He Feng; Guangquan Cheng; Zhong Liu 002; Qi Wang 005 (ICIT, 2018)

Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. - Guangyin Jin; Qi Wang 005; Xia Zhao; Yanghe Feng; Qing Cheng 004; Jincai Huang 001 (IEEE BigData, 2019)

SDPN: A Neural Network Approach for E-hailing Car Supply and Demand Prediction. - Guangyin Jin; Cunchao Zhu; Yanghe Feng; Jincai Huang 001; Guangquan Chen; Zhengguo Du (BDET, 2020)

Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. - Guangyin Jin; Qi Wang 005; Cunchao Zhu; Yanghe Feng; Jincai Huang 001; Xingchen Hu (Appl. Soft Comput., 2020)

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction. - Guangyin Jin; Zhexu Xi; Hengyu Sha; Yanghe Feng; Jincai Huang 001 (CoRR, 2020)

CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale. - Qi Wang 005; Guangyin Jin; Xia Zhao; Yang-He Feng; Jincai Huang 001 (Knowl. Based Syst., 2020)

Hierarchical Neural Architecture Search for Travel Time Estimation. - Guangyin Jin; Huan Yan; Fuxian Li; Yong Li 008; Jincai Huang 001 (SIGSPATIAL/GIS, 2021)

A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics. - Hengyu Sha; Guangyin Jin; Guangquan Cheng; Jincai Huang 001; Kuihua Huang (SpatialDI, 2021)

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. - Fuxian Li; Jie Feng 002; Huan Yan; Guangyin Jin; Depeng Jin; Yong Li 008 (CoRR, 2021)

Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation. - Guangyin Jin; Huan Yan; Fuxian Li; Jincai Huang 001; Yong Li 008 (CoRR, 2021)

GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. - Guangyin Jin; Hengyu Sha; Yanghe Feng; Qing Cheng 004; Jincai Huang 001 (Neurocomputing, 2021)

Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. - Fuxian Li; Huan Yan; Guangyin Jin; Yue Liu; Yong Li 008; Depeng Jin (CIKM, 2022)

Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks. - Huan Yan; Guangyin Jin; Deng Wang; Yue Liu; Yong Li 008 (SpatialDI, 2022)

STGNN-TTE: Travel time estimation via spatial-temporal graph neural network. - Guangyin Jin; Min Wang 034; Jinlei Zhang; Hengyu Sha; Jincai Huang 001 (Future Gener. Comput. Syst., 2022)

Deep multi-view graph-based network for citywide ride-hailing demand prediction. - Guangyin Jin; Zhexu Xi; Hengyu Sha; Yanghe Feng; Jincai Huang 001 (Neurocomputing, 2022)

Adaptive Dual-View WaveNet for urban spatial-temporal event prediction. - Guangyin Jin; Chenxi Liu 003; Zhexu Xi; Hengyu Sha; Yanyun Liu; Jincai Huang 001 (Inf. Sci., 2022)

Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach. - Jinlei Zhang; Feng Chen 029; Lixing Yang; Wei Ma; Guangyin Jin; Ziyou Gao (IEEE Trans. Intell. Transp. Syst., 2022)

Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. - Guangyin Jin; Lingbo Liu; Fuxian Li; Jincai Huang 001 (AAAI, 2023)

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. - Guangyin Jin; Yuxuan Liang; Yuchen Fang 001; Jincai Huang 001; Junbo Zhang; Yu Zheng 004 (CoRR, 2023)

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. - Zezhi Shao; Fei Wang 014; Zhao Zhang 011; Yuchen Fang 001; Guangyin Jin; Yongjun Xu 001 (CoRR, 2023)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; Xueqi Cheng (CoRR, 2023)

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. - Fuxian Li; Jie Feng 002; Huan Yan; Guangyin Jin; Fan Yang; Funing Sun; Depeng Jin; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2023)

Urban hotspot forecasting via automated spatio-temporal information fusion. - Guangyin Jin; Hengyu Sha; Zhexu Xi; Jincai Huang 001 (Appl. Soft Comput., 2023)

A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems. - Jinlei Zhang; Hua Li; Shuxin Zhang; Lixing Yang; Guangyin Jin; Jianguo Qi (Int. J. Gen. Syst., 2023)

Dual Graph Convolution Architecture Search for Travel Time Estimation. - Guangyin Jin; Huan Yan; Fuxian Li; Yong Li 008; Jincai Huang 001 (ACM Trans. Intell. Syst. Technol., 2023)

Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. - Guangyin Jin; Fuxian Li; Jinlei Zhang; Mudan Wang; Jincai Huang 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. - Hao Yang 042; Min Wang 034; Qi Wang 005; Zhengfei Yu; Guangyin Jin; Chunlai Zhou; Yun Zhou 001 (Inf. Fusion, 2024)

Dynamic multi-scale spatial-temporal graph convolutional network for traffic flow prediction. - Ming Gao; Zhuoran Du; Hongmao Qin; Wei Wang; Guangyin Jin; Guotao Xie (Knowl. Based Syst., 2024)

Spatio-temporal Dual Graph Neural Networks for Travel Time Estimation. - Guangyin Jin; Huan Yan; Fuxian Li; Jincai Huang 001; Yong Li 008 (ACM Trans. Spatial Algorithms Syst., 2024)

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. - Guangyin Jin; Yuxuan Liang; Yuchen Fang 001; Zezhi Shao; Jincai Huang 001; Junbo Zhang; Yu Zheng 004 (IEEE Trans. Knowl. Data Eng., 2024)

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. - Haomin Wen; Youfang Lin; Lixia Wu; Xiaowei Mao; Tianyue Cai; Yunfeng Hou; Shengnan Guo 001; Yuxuan Liang; Guangyin Jin; Yiji Zhao; Roger Zimmermann; Jieping Ye; et al. (IEEE Trans. Knowl. Data Eng., 2024)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Tao Sun 011; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Will the Technological Singularity Come Soon? Modeling the Dynamics of Artificial Intelligence Development via Multi-Logistic Growth Process. - Guangyin Jin; Xiaohan Ni; Kun Wei; Jie Zhao; Haoming Zhang; Leiming Jia (CoRR, 2025)

Synergistic Prompting for Robust Visual Recognition with Missing Modalities. - Zhihui Zhang; Luanyuan Dai; Qika Lin; Yunfeng Diao; Guangyin Jin; Yufei Guo; Jing Zhang; Xiaoshuai Hao (CoRR, 2025)

M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction. - Guangyin Jin; Sicong Lai; Xiaoshuai Hao; Mingtao Zhang; Jinlei Zhang (CoRR, 2025)