Haoliang Yuan

发表

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.

Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

Chun Sing Lai, Haoliang Yuan, Y. Duan, 2022, Applied Sciences.

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.

Latent shared representation for multi-view subspace clustering

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

Multi-View Subspace Clustering with Local and Global Information

Haoliang Yuan, Y. Duan, L. L. Lai, 2021, 2021 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR).

A distributed sparse logistic regression with L1/2 regularization for microarray biomarker discovery in cancer classification

Haoliang Yuan, Ziyi Yang, Rui Miao, 2022, Soft Comput..

Graph-based multiple rank regression for image classification

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

Image Denoising via Improved Sparse Coding

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

Robust subspace learning method for hyperspectral image classification

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

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.

Electricity plan recommender system with electrical instruction-based recovery

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

Nuclear norm joint sparse representation for hyperspectral image classification

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

Classification via atomic representation

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

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).

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).

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.

Resilience-Constrained Hourly Unit Commitment in Electricity Grids

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

Classifier economics of Semi-Intrusive Load Monitoring

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

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.

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

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

A new deregulated demand response scheme for load over-shifting city in regulated power market

Chun Sing Lai, Haoliang Yuan, Yi Fei Wang, 2022, Applied Energy.

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.

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

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

Spectral-spatial linear discriminant analysis for hyperspectral image classification

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

Spectral–Spatial Shared Linear Regression for Hyperspectral Image Classification

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

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

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

Transmission line fault-cause classification based on multi-view sparse feature selection

Haoliang Yuan, Xiangang Peng, Kaitong Wu, 2022, Energy Reports.

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

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

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 .

A Comprehensive Demand Response Strategy Considering Household Comfort and Economy

Chun Sing Lai, Haoliang Yuan, L. L. Lai, 2022, 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET).

Learning With Hypergraph for Hyperspectral Image Feature Extraction

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

Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning

Haoliang Yuan, Ting Chen, Guo Zhong, 2022, International Journal of Machine Learning and Cybernetics.

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..

FEW-Shot Object Detection with Foreground Augment and Background Attenuation

Haoliang Yuan, Ying Zeng, 2022, 2022 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR).

Redundant graph Fourier transform

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

Distributed Generation Forecasting Based on Rolling Graph Neural Network (ROLL-GNN)

Chun Sing Lai, Haoliang Yuan, Fangyuan Xu, 2023, Energies.

Fault location of transmission line based on CNN-LSTM double-ended combined model

Haoliang Yuan, Xiangang Peng, Zelin Wu, 2022, Energy Reports.

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

Anchor-based multi-view subspace clustering with graph learning

Haoliang Yuan, Qiang Yang, L. L. Lai, 2023, Neurocomputing.

Multi-view unsupervised feature selection with tensor low-rank minimization

Yuanyan Tang, Haoliang Yuan, Yong Liang, 2022, Neurocomputing.

Manifold-Based Sparse Representation for Hyperspectral Image Classification

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

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).

A constrained least squares regression model

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

Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization

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

Li-ion battery state-of-health estimation based on the combination of statistical and geometric features of the constant-voltage charging stage

Haoliang Yuan, Fangyuan Xu, Si-Zhe Chen, 2023, Journal of Energy Storage.

A Short-Term Photovoltaic Power Forecasting Method Combining a Deep Learning Model with Trend Feature Extraction and Feature Selection

Chun Sing Lai, Haoliang Yuan, L. L. Lai, 2022, Energies.

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).

Semi-supervised graph-based retargeted least squares regression

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

Sparse structural feature selection for multitarget regression

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

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.

Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network

Haoliang Yuan, Ming Yin, Shaocong He, 2023, Expert Syst. Appl..

Discrete Semantic Matrix Factorization Hashing for Cross-Modal Retrieval

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