Haoran Chen

Orcid: 0000-0003-2407-8518

According to our database1, Haoran Chen authored at least 21 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Two-dimensional PLSR with manifold optimization based CNN for image classification.
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

A food safety traceability system based on trusted double chain.
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
Solving Partial Least Squares Regression via Manifold Optimization Approaches.
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
Locality Preserving Projections for Grassmann manifold.
CoRR, 2017

Locality Preserving Projections for Grassmann manifold.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

L1-2DPCA Revisit via Optimization on Product Manifolds.
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


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