Cong Xu

Orcid: 0000-0003-3005-2605

Affiliations:
  • Harbin Institute of Technology (HIT), Faculty of Computing, Heilongjiang, China


According to our database1, Cong Xu authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Deep-to-broad technique to accelerate deep neural networks.
Expert Syst. Appl., 2025

2024
Adaptively Optimized Masking EMD for Separating Intrinsic Oscillatory Modes of Nonstationary Signals.
IEEE Signal Process. Lett., 2024

A novel capsule network based on Multi-Order Descartes Extension Transformation.
Neurocomputing, 2024

A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals.
Frontiers Comput. Neurosci., 2024

EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MCAHNN: Multi-Channel EEG Emotion Recognition Using Attention Mechanism Based on Householder Reflection.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Exploring the Neural Dynamics in Temporal Lobe Epilepsy: A Study using Transformer and Hidden Markov Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Multimodal Brain Signal Analysis with State-Space Modeling: A Study on Working Memory.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

fNIRS emotion recognition method based on multi-scale fusion features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2022
MODENN: A Shallow Broad Neural Network Model Based on Multi-Order Descartes Expansion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Emotion Recognition Based on Representation Dissimilarity Matrix.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

2019
Speech Emotion Recognition Using Multi-granularity Feature Fusion Through Auditory Cognitive Mechanism.
Proceedings of the Cognitive Computing - ICCC 2019, 2019


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