Fault-Tolerant Control, Fault Diagnosis and Recovery in Runtime of Business Docking Service Composition Flow in the Cloud Environment. - Jianhua Han; Silu He; Hengxin Li; Jianping Huang (ICIC (2), 2014)

Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning. - Ling Zhao 005; Li Luo; Bo Li; Liyan Xu; Jiawei Zhu; Silu He; Haifeng Li 007 (ISPRS Int. J. Geo Inf., 2021)

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)

A Class-Incremental Detection Method of Remote Sensing Images Based on Selective Distillation. - Hang Ruan; Jian Peng 009; Ye Chen; Silu He; Zhenshi Zhang; Haifeng Li 007 (Symmetry, 2022)

Analysis of Urban Visual Memes Based on Dictionary Learning: An Example with Urban Image Data. - Ming Zhang; Xin Gu; Jun Xiao; Pu Zou; Zuoqin Shi; Silu He; Haifeng Li 007; Sumin Li (Symmetry, 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)

Ollivier-Ricci Curvature Based Spatio-Temporal Graph Neural Networks for Traffic Flow Forecasting. - Xing Han; Guowei Zhu; Ling Zhao 005; Ronghua Du; Yuhan Wang; Zhe Chen; Yang Liu; Silu He (Symmetry, 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)

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)

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)

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 (Inf. Fusion, 2026)