Functionally specialized spectral organization of the resting human cortex.
Neural Networks, 2025
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging.
CoRR, 2024
Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis.
Neural Networks, 2023
Data-driven Dimensional Expression Generation via Encapsulated Variational Auto-Encoders.
Cogn. Comput., 2023
Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Learning Flexible Latent Representations via Encapsulated Variational Encoders.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Text mining and pattern clustering for relation extraction of breast cancer and related genes.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017
Long short-term memory networks for automatic generation of conversations.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017
Alleviating adversarial attacks via convolutional autoencoder.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017