Xinsha Fu
Orcid: 0000-0003-2002-2875
According to our database1,
Xinsha Fu
authored at least 13 papers
between 2018 and 2023.
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Collaborative distances:
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Bibliography
2023
Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting.
Symmetry, November, 2023
Classification and Prediction of Driver's Mental Workload Based on Long Time Sequences and Multiple Physiological Factors.
IEEE Access, 2023
Local-Specificity and Wide-View Attention Network With Hard Sample Aware Contrastive Loss for Street Scene Change Detection.
IEEE Access, 2023
2022
An Expressway Driving Stress Prediction Model Based on Vehicle, Road and Environment Features.
IEEE Access, 2022
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.
IEEE Access, 2022
2021
Investigation of the Factors Influencing the Crash Frequency in Expressway Tunnels: Considering Excess Zero Observations and Unobserved Heterogeneity.
IEEE Access, 2021
XGBoost Algorithm-Based Monitoring Model for Urban Driving Stress: Combining Driving Behaviour, Driving Environment, and Route Familiarity.
IEEE Access, 2021
2020
Robust Multivehicle Tracking With Wasserstein Association Metric in Surveillance Videos.
IEEE Access, 2020
Multilevel Traffic State Detection in Traffic Surveillance System Using a Deep Residual Squeeze-and-Excitation Network and an Improved Triplet Loss.
IEEE Access, 2020
Applying a Correlated Random Parameters Negative Binomial Lindley Model to Examine Crash Frequency Along Highway Tunnels in China.
IEEE Access, 2020
2018
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection.
CoRR, 2018