3 papers
cs.SI2025
Data-Driven Discovery of Mobility Periodicity for Understanding Urban Systems
Xinyu Chen, Qi Wang, Yunhan Zheng +3
Human mobility regularity is crucial for understanding urban dynamics and informing decision-making processes. This study first quantifies the periodicity in complex human mobility…
cs.CV2025
Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
Akram Heidarizadeh, Connor Hatfield, Lorenzo Lazzarotto +2
Traditional adversarial attacks typically aim to alter the predicted labels of input images by generating perturbations that are imperceptible to the human eye. However, these appr…
cs.LG2024
Correlating Time Series with Interpretable Convolutional Kernels
Xinyu Chen, HanQin Cai, Fuqiang Liu +1
This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal pat…