Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection. - Enqiang Guo; Xinsha Fu; Jiawei Zhu; Min Deng; Yu Liu 003; Qing Zhu; Haifeng Li 007 (CoRR, 2018)

Applying a Correlated Random Parameters Negative Binomial Lindley Model to Examine Crash Frequency Along Highway Tunnels in China. - Feng Tang; Xinsha Fu; Mingmao Cai; Yue Lu 004; Shiyu Zhong; Chongzhen Lu (IEEE Access, 2020)

Multilevel Traffic State Detection in Traffic Surveillance System Using a Deep Residual Squeeze-and-Excitation Network and an Improved Triplet Loss. - Feng Tang; Xinsha Fu; Mingmao Cai; Yue Lu 004; Yanjie Zeng; Shiyu Zhong; Yan Huang; Chongzhen Lu (IEEE Access, 2020)

Robust Multivehicle Tracking With Wasserstein Association Metric in Surveillance Videos. - Yanjie Zeng; Xinsha Fu; Lei Gao; Jiawei Zhu; Haifeng Li 007; Yuheng Li (IEEE Access, 2020)

XGBoost Algorithm-Based Monitoring Model for Urban Driving Stress: Combining Driving Behaviour, Driving Environment, and Route Familiarity. - Yue Lu 004; Xinsha Fu; Enqiang Guo; Feng Tang (IEEE Access, 2021)

Investigation of the Factors Influencing the Crash Frequency in Expressway Tunnels: Considering Excess Zero Observations and Unobserved Heterogeneity. - Feng Tang; Xinsha Fu; Mingmao Cai; Yue Lu 004; Shiyu Zhong (IEEE Access, 2021)

A Bayesian Bivariate Random Parameters and Spatial-Temporal Negative Binomial Lindley Model for Jointly Modeling Crash Frequency by Severity: Investigation for Chinese Freeway Tunnel Safety. - Mingmao Cai; Feng Tang; Xinsha Fu (IEEE Access, 2022)

Anchor-Free Weapon Detection for X-Ray Baggage Security Images. - Yan Huang; Xinsha Fu; Yanjie Zeng (IEEE Access, 2022)

An Expressway Driving Stress Prediction Model Based on Vehicle, Road and Environment Features. - Shiyu Zhong; Xinsha Fu; Wei Lu; Feng Tang; Yue Lu 004 (IEEE Access, 2022)

Local-Specificity and Wide-View Attention Network With Hard Sample Aware Contrastive Loss for Street Scene Change Detection. - Enqiang Guo; Xinsha Fu (IEEE Access, 2023)

Classification and Prediction of Driver's Mental Workload Based on Long Time Sequences and Multiple Physiological Factors. - Wanyu Wei; Xinsha Fu; Yaqiao Zhu 002; Ning Lu; Siqi Ma (IEEE Access, 2023)

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)

Reducing overfitting in vehicle recognition by decorrelated sparse representation regularisation. - Wanyu Wei; Xinsha Fu; Siqi Ma; Yaqiao Zhu 002; Ning Lu (IET Comput. Vis., 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)