A bibliometric and visual analysis of global geo-ontology research. - Lin Li 019; Yu Liu 039; Haihong Zhu; Shen Ying; Qinyao Luo; Heng Luo; Xi Kuai; Hui Xia; Hang Shen 002 (Comput. Geosci., 2017)

Social Media Big Data-Based Research on the Influencing Factors of Insomnia and Spatiotemporal Evolution. - Yu Liu 039; Qinyao Luo; Hang Shen 002; Sida Zhuang; Chen Xu; Yihe Dong; Yukai Sun; Shaochen Wang; Hao Deng 004 (IEEE Access, 2020)

Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations. - Haifeng Li 007; Jun Cao; Jiawei Zhu; Qinyao Luo; Silu He; Xuyin Wang (CoRR, 2022)

STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph. - Silu He; Qinyao Luo; Ronghua Du; Ling Zhao 005; Haifeng Li 007 (CoRR, 2022)

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph. - Silu He; Qinyao Luo; Xinsha Fu; Ling Zhao 005; Ronghua Du; Haifeng Li 007 (CoRR, 2023)

Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting. - Gang Liu; Silu He; Xing Han; Qinyao Luo; Ronghua Du; Xinsha Fu; Ling Zhao 005 (Symmetry, 2023)

Taste Mapping: Navigating the Spatiotemporal Link Between Diet and Colorectal Cancer. - Qinyao Luo; Yu Liu 039; Minyan Bi; Xi Kuai; Qin Tian; Yukai Sun; Sida Zhuang (IEEE Access, 2024)

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting. - Qinyao Luo; Silu He; Xing Han; Yuhan Wang; Haifeng Li 007 (CoRR, 2024)

STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction. - Silu He; Peng Shen; Pingzhen Xu; Qinyao Luo; Haifeng Li 007 (CoRR, 2024)

CAT: A causal graph attention network for trimming heterophilic graphs. - Silu He; Qinyao Luo; Xinsha Fu; Ling Zhao 005; Ronghua Du; Haifeng Li 007 (Inf. Sci., 2024)

LSTTN: A Long-Short Term Transformer-based spatiotemporal neural network for traffic flow forecasting. - Qinyao Luo; Silu He; Xing Han; Yuhan Wang; Haifeng Li 007 (Knowl. Based Syst., 2024)

Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations. - Haifeng Li 007; Jun Cao; Jiawei Zhu; Qinyao Luo; Silu He; Xuying Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Causal invariant geographic network representations with feature and structural distribution shifts. - Yuhan Wang; Silu He; Qinyao Luo; Hongyuan Yuan; Ling Zhao 005; Jiawei Zhu; Haifeng Li 007 (Future Gener. Comput. Syst., 2025)