Haoliang Yuan

Orcid: 0000-0001-5167-226X

According to our database1, Haoliang Yuan authored at least 68 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter.
IEEE Trans. Cybern., September, 2023

Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network.
Expert Syst. Appl., September, 2023

Anchor-based multi-view subspace clustering with graph learning.
Neurocomputing, August, 2023

Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning.
Int. J. Mach. Learn. Cybern., May, 2023

2022
Uncertainty-Guided Optimal Scheduling of Automated Energy Internet.
IEEE Trans. Ind. Informatics, 2022

Discovery of a Novel Macrocyclic ATP Citrate Lyase Inhibitor.
J. Chem. Inf. Model., 2022

Erratum: Multi-view feature selection via sparse tensor regression.
Int. J. Wavelets Multiresolution Inf. Process., 2022

Hierarchical unsupervised multi-view feature selection.
Int. J. Wavelets Multiresolution Inf. Process., 2022

Multi-view unsupervised feature selection with tensor low-rank minimization.
Neurocomputing, 2022

MIVCN: Multimodal interaction video captioning network based on semantic association graph.
Appl. Intell., 2022

2021
Discovery of Novel Small Molecule Inhibitors Disrupting the PCSK9-LDLR Interaction.
J. Chem. Inf. Model., 2021

Multi-view feature selection via sparse tensor regression.
Int. J. Wavelets Multiresolution Inf. Process., 2021

Latent shared representation for multi-view subspace clustering.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Discovery of Ubiquitin-Specific Protease 7 (USP7) Inhibitors with Novel Scaffold Structures by Virtual Screening, Molecular Dynamics Simulation, and Biological Evaluation.
J. Chem. Inf. Model., 2020

Discovery of Novel Peroxisome Proliferator-Activated Receptor α (PPARα) Agonists by Virtual Screening and Biological Evaluation.
J. Chem. Inf. Model., 2020

Low-rank matrix regression for image feature extraction and feature selection.
Inf. Sci., 2020

Latent multi-view semi-supervised classification by using graph learning.
Int. J. Wavelets Multiresolution Inf. Process., 2020

Discrete Semantic Matrix Factorization Hashing for Cross-Modal Retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection.
Pattern Recognit., 2019

A Selectivity Study of FFAR4/FFAR1 Agonists by Molecular Modeling.
J. Chem. Inf. Model., 2019

A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty.
Inf. Sci., 2019

Sparse discriminative least squares regression model.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Multi-View Collaborative Representation Classification.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018
Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization.
IEEE Trans. Ind. Informatics, 2018

Semi-supervised graph-based retargeted least squares regression.
Signal Process., 2018

Sparse structural feature selection for multitarget regression.
Knowl. Based Syst., 2018

A constrained least squares regression model.
Inf. Sci., 2018

A collaborative-competitive representation based classifier model.
Neurocomputing, 2018

Graph-based multiple rank regression for image classification.
Neurocomputing, 2018

Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Joint Collaborative Representation and Discriminative Projection for Pattern Classification.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

2017
Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification.
IEEE Trans. Cybern., 2017

Robust subspace learning method for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process., 2017

Robust patch-based sparse representation for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process., 2017

A Generalized Discriminative Least Squares Regression Model.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
A hybrid swarm optimization for neural network training with application in stock price forecasting.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Multi-windowed graph Fourier frames.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Manifold-based Sparse Representation for hyperspectral Image Classification.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015
Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform.
IEEE Trans. Geosci. Remote. Sens., 2015

Sparse Representation Based on Set-to-Set Distance for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Learning With Hypergraph for Hyperspectral Image Feature Extraction.
IEEE Geosci. Remote. Sens. Lett., 2015

Redundant graph Fourier transform.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Similarity analysis based on sparse representation for protein sequence comparison.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Classification via atomic representation.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014
Manifold-Based Sparse Representation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2014

Hyperspectral Image Classification Based on Regularized Sparse Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Molecular Modeling of Exquisitely Selective c-Met Inhibitors through 3D-QSAR and Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2014

Feature extraction based on kernel sparse representation for hyperspectral image classification.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Protein sequence analysis based on fractal-wavelet scheme.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A novel method for protein structure retrieval using tableau representation and sparse coding.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors.
J. Chem. Inf. Model., 2013

Fragment-based strategy for structural optimization in combination with 3D-QSAR.
J. Comput. Aided Mol. Des., 2013

Graph-based Sparse Representation for Hyperspectral Image Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Feature extraction based on discriminant analysis with penalty constraint for hyperspectral image classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Spectral-spatial linear discriminant analysis for hyperspectral image classification.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Sparse representation using contextual information for hyperspectral image classification.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Dimension reduction with randomized anisotropic transform for hyperspectral image classification.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Learning recovered pattern from region-dependent model for hyperspectral imagery.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012
Geometry constrained sparse coding for single image super-resolution.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery.
J. Chem. Inf. Model., 2011

Local learning-based image super-resolution.
Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

Image Denoising via Improved Sparse Coding.
Proceedings of the British Machine Vision Conference, 2011

Utilizing homotopy for single image superresolution.
Proceedings of the First Asian Conference on Pattern Recognition, 2011


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