Ao Tan
According to our database1,
Ao Tan
authored at least 14 papers
between 2015 and 2024.
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Bibliography
2024
Electromagnetic torque modeling and validation for a permanent magnet spherical motor based on XGBoost.
Simul. Model. Pract. Theory, 2024
2023
Int. J. Parallel Emergent Distributed Syst., July, 2023
Nighttime Pedestrian Detection Based on a Fusion of Visual Information and Millimeter-Wave Radar.
IEEE Access, 2023
Automatic Fusion Network for Cold-start CVR Prediction with Explicit Multi-Level Representation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
2018
A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction.
Neurocomputing, 2018
2017
A least across-segment variance (LASV) method for the correction of EEG-fMRI desynchronization.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
2016
Decoding Subjective Intensity of Nociceptive Pain from Pre-stimulus and Post-stimulus Brain Activities.
Frontiers Comput. Neurosci., 2016
Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.
Frontiers Comput. Neurosci., 2016
N1 Magnitude of Auditory Evoked Potentials and Spontaneous Functional Connectivity Between Bilateral Heschl's Gyrus Are Coupled at Interindividual Level.
Brain Connect., 2016
2015
Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patterns.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015