Haoliang Yuan

发表

Learning recovered pattern from region-dependent model for hyperspectral imagery

Yuan Yan Tang, Lina Yang, Huiwu Luo, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

A constrained least squares regression model

Yuan Yan Tang, Loi Lei Lai, Haoliang Yuan, 2018, Inf. Sci..

A collaborative-competitive representation based classifier model

Yuan Yan Tang, Yifei Wang, Loi Lei Lai, 2018, Neurocomputing.

Utilizing homotopy for single image superresolution

Yuan Yuan, Pingkun Yan, Xuelong Li, 2011, The First Asian Conference on Pattern Recognition.

Feature extraction based on kernel sparse representation for hyperspectral image classification

Yuan Yan Tang, Yulong Wang, Yang Lu, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Geometry constrained sparse coding for single image super-resolution

Xuelong Li, Pingkun Yan, Xiaoqiang Lu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Graph-based Sparse Representation for Hyperspectral Image Classification

Yuan Yan Tang, Yang Lu, Patrick Shen-Pei Wang, 2013, MLDM Posters.

A hybrid swarm optimization for neural network training with application in stock price forecasting

Yuan Yan Tang, Yulong Wang, Patrick Shen-Pei Wang, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Redundant graph Fourier transform

Yuan Yan Tang, Yulong Wang, Jiantao Zhou, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Fault Classification of High Voltage Transmission Line Based on Convolutional Neural Network

Xiangang Peng, Haoliang Yuan, Wanyu Ye, 2020, 2020 10th International Conference on Information Science and Technology (ICIST).

Multi-View Neural Network Ensemble for Short and Mid-Term Load Forecasting

Mohammad Shahidehpour, Wing W. Y. Ng, Loi Lei Lai, 2021, IEEE Transactions on Power Systems.

Multi-windowed graph Fourier frames

Yuan Yan Tang, Yulong Wang, Jiantao Zhou, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

A novel method for protein structure retrieval using tableau representation and sparse coding

Yuan Yan Tang, Yulong Wang, Yang Lu, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Revisit Neural Network based Load Forecasting

Zhao Xu, Loi Lei Lai, Chun Sing Lai, 2019, 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP).

Multi-View Collaborative Representation Classification

Loi Lei Lai, Chun Sing Lai, Haoliang Yuan, 2019, 2019 International Conference on Machine Learning and Cybernetics (ICMLC).

Sparse structural feature selection for multitarget regression

Yuan Yan Tang, Loi Lei Lai, Haoliang Yuan, 2018, Knowl. Based Syst..

Low-rank matrix regression for image feature extraction and feature selection

Yuan Yan Tang, Loi Lei Lai, Haoliang Yuan, 2020, Inf. Sci..

Local learning-based image super-resolution

Xuelong Li, Pingkun Yan, Xiaoqiang Lu, 2011, 2011 IEEE 13th International Workshop on Multimedia Signal Processing.

Manifold-based Sparse Representation for hyperspectral Image Classification

Yuan Yan Tang, Haoliang Yuan, 2016, Handbook of Pattern Recognition and Computer Vision.

Joint Collaborative Representation and Discriminative Projection for Pattern Classification

Loi Lei Lai, Yiu-ming Cheung, Haoliang Yuan, 2018, 2018 14th International Conference on Computational Intelligence and Security (CIS).

Robust patch-based sparse representation for hyperspectral image classification

Haoliang Yuan, 2017, Int. J. Wavelets Multiresolution Inf. Process..

Load forecasting based on deep neural network and historical data augmentation

Wing W. Y. Ng, Loi Lei Lai, Zhenyao Mo, 2020, IET Generation, Transmission & Distribution.

Sparse representation using contextual information for hyperspectral image classification

Yuan Yan Tang, Yang Lu, Lina Yang, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Robust subspace learning method for hyperspectral image classification

Loi Lei Lai, Haoliang Yuan, Haoliang Yuan, 2017, Int. J. Wavelets Multiresolution Inf. Process..

Semi-supervised graph-based retargeted least squares regression

Yuan Yan Tang, Loi Lei Lai, Haoliang Yuan, 2018, Signal Process..

Graph-Based Sparse Matrix Regression for 2D Feature Selection

Loi Lei Lai, Haoliang Yuan, Xiaoming Zhou, 2018, 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR).

Sparse Representation Based on Set-to-Set Distance for Hyperspectral Image Classification

Yuan Yan Tang, Haoliang Yuan, Yuanyan Tang, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor

Kim Fung Tsang, Loi Lei Lai, Chun Sing Lai, 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).

Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization

Loi Lei Lai, Yifei Wang, Haoliang Yuan, 2018, IEEE Transactions on Industrial Informatics.

Resilience-Constrained Hourly Unit Commitment in Electricity Grids

Mohammad Shahidehpour, Yifei Wang, Loi Lei Lai, 2018, IEEE Transactions on Power Systems.

A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty

Wing W. Y. Ng, Giorgio Locatelli, Chao Huang, 2019, Inf. Sci..

Electricity plan recommender system with electrical instruction-based recovery

Zhao Yang Dong, Loi Lei Lai, Chun Sing Lai, 2020 .

Manifold-Based Sparse Representation for Hyperspectral Image Classification

Yuan Yan Tang, Luoqing Li, Haoliang Yuan, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Feature extraction based on discriminant analysis with penalty constraint for hyperspectral image classification

Yuan Yan Tang, Lina Yang, Huiwu Luo, 2013, 2013 International Conference on Machine Learning and Cybernetics.

Hyperspectral Image Classification Based on Regularized Sparse Representation

Yuan Yan Tang, Yang Lu, Lina Yang, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields

Yuan Yan Tang, Yulong Wang, Yang Lu, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors

Tao Lu, Shuai Lu, Yu Jiao, 2013, J. Chem. Inf. Model..

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis

Yuan Yan Tang, Yang Lu, Lina Yang, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Latent multi-view semi-supervised classification by using graph learning

Loi Lei Lai, Haoliang Yuan, Yanquan Huang, 2020 .

Molecular Modeling of Exquisitely Selective c-Met Inhibitors through 3D-QSAR and Molecular Dynamics Simulations

Tao Lu, Huifang Li, Jinxing Xu, 2014, J. Chem. Inf. Model..

Image Denoising via Improved Sparse Coding

Xuelong Li, Pingkun Yan, Xiaoqiang Lu, 2011, BMVC.

Dimension reduction with randomized anisotropic transform for hyperspectral image classification

Yuan Yan Tang, Lina Yang, Huiwu Luo, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification

Yuan Yan Tang, Haoliang Yuan, 2014, 2014 22nd International Conference on Pattern Recognition.

Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform

Yang Lu, Haoliang Yuan, Yuan Yan Tang, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Risk Modeling of Transmission Line Defects and Forecasting Method Based on SVM

Xinghua Wang, Haoliang Yuan, Wanyu Ye, 2020, 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE).

A Generalized Discriminative Least Squares Regression Model

Zhimin Wang, Loi Lei Lai, Haoliang Yuan, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Protein sequence analysis based on fractal-wavelet scheme

Yuan Yan Tang, Yulong Wang, Yang Lu, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery

Jian Wang, Tao Lu, Weiwei Zhang, 2011, J. Chem. Inf. Model..

Two-Dimensional Semi-Supervised Feature Selection

Haoliang Yuan, Xin Liang, Qintao Du, 2020, 2020 10th International Conference on Information Science and Technology (ICIST).

Spectral–Spatial Shared Linear Regression for Hyperspectral Image Classification

Yuan Yan Tang, Haoliang Yuan, Yuanyan Tang, 2017, IEEE Transactions on Cybernetics.

Classifier economics of Semi-Intrusive Load Monitoring

Alfredo Vaccaro, Loi Lei Lai, Fenghua Wang, 2018, International Journal of Electrical Power & Energy Systems.

Yuan Yan Tang, Yulong Wang, Lina Yang, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Sparse discriminative least squares regression model

Loi Lei Lai, Haoliang Yuan, Junjie Zheng, 2019, Int. J. Wavelets Multiresolution Inf. Process..

A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification

Yuan Yan Tang, Haoliang Yuan, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Learning With Hypergraph for Hyperspectral Image Feature Extraction

Yuan Yan Tang, Haoliang Yuan, Yuanyan Tang, 2015, IEEE Geoscience and Remote Sensing Letters.

Graph-based multiple rank regression for image classification

Yuan Yan Tang, Loi Lei Lai, Haoliang Yuan, 2018, Neurocomputing.

A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network

Yuan Yan Tang, Yulong Wang, Lina Yang, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Classification via atomic representation

Yuan Yan Tang, Yulong Wang, Lina Yang, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Fragment-based strategy for structural optimization in combination with 3D-QSAR

Tao Lu, Shuai Lu, Yanmin Zhang, 2013, Journal of Computer-Aided Molecular Design.

Nuclear norm joint sparse representation for hyperspectral image classification

Loi Lei Lai, Haoliang Yuan, Yingshan Tao, 2017, 2017 Chinese Automation Congress (CAC).

Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection

Yuan Yan Tang, Loi Lei Lai, Haoliang Yuan, 2019, Pattern Recognit..

SGL-RFS: Semi-Supervised Graph Learning Robust Feature Selection

Zhimin Wang, Loi Lei Lai, Fenghua Wang, 2018, 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR).

Spectral-spatial linear discriminant analysis for hyperspectral image classification

Yuan Yan Tang, Yang Lu, Lina Yang, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Multi-view feature selection via sparse tensor regression

Ming Yin, Haoliang Yuan, Sio-Long Lo, 2021 .

Research on correlation factor analysis and prediction method of overhead transmission line defect state based on association rule mining and RBF-SVM

Xiangang Peng, Haoliang Yuan, Yongbin Zeng, 2021 .

MIVCN: Multimodal interaction video captioning network based on semantic association graph

Ying Wang, Guoheng Huang, Chi-Man Pun, 2021, Applied Intelligence.

A distribution network reconfiguration method based on comprehensive analysis of operation scenarios in the long-term time period

Xiangang Peng, Haoliang Yuan, Xinghua Wang, 2021 .

Discrete Semantic Matrix Factorization Hashing for Cross-Modal Retrieval

Lunke Fei, Shaohua Teng, Genping Zhao, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Latent shared representation for multi-view subspace clustering

Haoliang Yuan, Baifu Huang, Loi Lei Lai, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Transmission Line Fault-Cause Identification Based on Hierarchical Multiview Feature Selection

Chun Sing Lai, Haoliang Yuan, Loi Lei Lai, 2021, Applied Sciences.