Haoran Chen
Orcid: 0000-0003-2407-8518
According to our database1,
Haoran Chen
authored at least 21 papers
between 2015 and 2025.
Collaborative distances:
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Bibliography
2025
Int. J. Mach. Learn. Cybern., September, 2025
Deep residual PLSR model with manifold optimization and Gaussian filter for enhanced image classification.
Vis. Comput., June, 2025
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization.
CoRR, April, 2025
Text-dominant multimodal perception network for sentiment analysis based on cross-modal semantic enhancements.
Appl. Intell., January, 2025
Representation distribution matching and dynamic routing interaction for multimodal sentiment analysis.
Knowl. Based Syst., 2025
Research and application of two-dimensional partial least squares regression with manifold optimization-based Gaussian filter.
J. Electronic Imaging, 2025
Multimodal sentiment analysis based on disentangled representation learning and cross-modal-context association mining.
Neurocomputing, 2025
Int. J. Comput. Sci. Eng., 2025
2024
PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering.
Pattern Recognit., 2024
Hierarchical denoising representation disentanglement and dual-channel cross-modal-context interaction for multimodal sentiment analysis.
Expert Syst. Appl., 2024
2023
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering.
ACM Trans. Knowl. Discov. Data, November, 2023
Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis.
Inf. Fusion, November, 2023
DaDL-SChlo: protein subchloroplast localization prediction based on generative adversarial networks and pre-trained protein language model.
Briefings Bioinform., May, 2023
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning.
ACM Trans. Knowl. Discov. Data, 2019
2018
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.
Neurocomputing, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
2016
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications.
CoRR, 2016
2015
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation.
CoRR, 2015