Jiaxing Liu
Orcid: 0000-0002-5184-4313
According to our database1,
Jiaxing Liu
authored at least 40 papers
between 2018 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., October, 2024
Automatic Aircraft Identification with High Precision from SAR Images Considering Multiscale Problems and Channel Information Enhancement.
Remote. Sens., September, 2024
Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2024
Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness.
J. Am. Medical Informatics Assoc., 2024
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations.
CoRR, 2024
Method of Weak Communication Signal Detection and Signal Quality Assessment at Low SNR.
Proceedings of the 2024 6th International Symposium on Signal Processing Systems, 2024
Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
2023
Real-time infrared and visible image fusion network using adaptive pixel weighting strategy.
Inf. Fusion, November, 2023
J. Comput. Methods Sci. Eng., 2023
Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck.
Proceedings of the IEEE International Conference on Software Analysis, 2023
Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
No-Reference Quality Assessment for HDR Images Based on Multi-scale Retinex Decomposition.
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023
2022
Generating and Restoring Private Face Images for Internet of Vehicles Based on Semantic Features and Adversarial Examples.
IEEE Trans. Intell. Transp. Syst., 2022
Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information.
IEEE Multim., 2022
Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition.
IEEE Multim., 2022
Talking Head Generation Driven by Speech-Related Facial Action Units and Audio- Based on Multimodal Representation Fusion.
CoRR, 2022
Salmon-Easy: An alignment-free RNA-seq quantitative strategy based on partial genome indexing.
Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022
Multi-Stage Graph Representation Learning for Dialogue-Level Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Evaluating resampling methods and structured features to improve fall incident report identification by the severity level.
J. Am. Medical Informatics Assoc., 2021
A Sentiment Similarity-Oriented Attention Model with Multi-task Learning for Text-Based Emotion Recognition.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Time-Frequency Representation Learning with Graph Convolutional Network for Dialogue-Level Speech Emotion Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Multimodal Emotion Recognition with Capsule Graph Convolutional Based Representation Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2021
Domain-Adversarial Autoencoder with Attention Based Feature Level Fusion for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Facial Image Privacy Protection Based on Principal Components of Adversarial Segmented Image Blocks.
IEEE Access, 2020
Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Exploring Hidden In-Hospital Fall Clusters from Incident Reports Using Text Analytics.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model.
Remote. Sens., 2018
Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks.
Frontiers Comput. Neurosci., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Brain-inspired hierarchical spiking neural network using unsupervised STDP rule for image classification.
Proceedings of the 10th International Conference on Machine Learning and Computing, 2018