Xiaoming Zhao
Orcid: 0000-0002-4708-4171Affiliations:
- Taizhou University, Zhejiang, China
According to our database1,
Xiaoming Zhao
authored at least 39 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
PACMR: Progressive Adaptive Crossmodal Reinforcement for Multimodal Apparent Personality Traits Analysis.
IEEE Signal Process. Lett., 2025
2024
IEEE Trans. Intell. Transp. Syst., July, 2024
Wireless-Sensing-Based Human-Vehicle Classification Method via Deep Learning: Analysis and Implementation.
IEEE Internet Things J., May, 2024
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals.
Inf. Fusion, April, 2024
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects.
Expert Syst. Appl., March, 2024
MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection.
IEEE Trans. Affect. Comput., 2024
Integrating Representation Subspace Mapping with Unimodal Auxiliary Loss for Attention-based Multimodal Emotion Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Comput. Biol. Medicine, September, 2023
Multimodal emotion recognition based on audio and text by using hybrid attention networks.
Biomed. Signal Process. Control., August, 2023
Learning inter-class optical flow difference using generative adversarial networks for facial expression recognition.
Multim. Tools Appl., March, 2023
IET Image Process., 2023
2022
IEEE Trans. Affect. Comput., 2022
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder.
J. Digit. Imaging, 2022
Unsupervised Domain Adaptation Integrating Transformer and Mutual Information for Cross-Corpus Speech Emotion Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
Learning deep multimodal affective features for spontaneous speech emotion recognition.
Speech Commun., 2021
Frontiers Neurorobotics, 2021
2020
Symmetry, 2020
Sci. Program., 2020
Learning Deep Binaural Representations With Deep Convolutional Neural Networks for Spontaneous Speech Emotion Recognition.
IEEE Access, 2020
Speech Emotion Recognition by Combining a Unified First-Order Attention Network With Data Balance.
IEEE Access, 2020
2019
Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep Learning.
IEEE Access, 2019
2018
2017
Proceedings of the Data Science, 2017
2016
Neurocomputing, 2016
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
Neural Comput. Appl., 2015
Inf., 2015
Int. J. Comput. Appl. Technol., 2015
2014
Neural Comput. Appl., 2014
J. Vis. Commun. Image Represent., 2014
Inf., 2014
2013
2012
Neural Comput. Appl., 2012
Facial expression recognition using local binary patterns and discriminant kernel locally linear embedding.
EURASIP J. Adv. Signal Process., 2012
2011
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap.
Sensors, 2011
Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011
Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011