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ORCIDHaoliang Yuan
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Publications
- 2026
[j48]Ning Ai
, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang:
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification. IEEE Trans. Emerg. Top. Comput. Intell. 10(2): 1565-1579 (2026)- 2025
- [j47]Yihao Ai, Guo Zhong, Tingjian Chen, Haoliang Yuan, Loi Lei Lai:
Online unsupervised multi-view feature selection with adaptive neighbors. Int. J. Wavelets Multiresolution Inf. Process. 23(1): 2450042:1-2450042:33 (2025) - [j45]Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang:
A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization. IEEE Trans. Comput. Biol. Bioinform. 22(6): 2697-2711 (2025) - 2024
- [j42]Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai:
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification. IEEE J. Biomed. Health Informatics 28(12): 7670-7682 (2024) - 2023
- [j39]Chao Su, Haoliang Yuan, Loi Lei Lai, Qiang Yang:
Anchor-based multi-view subspace clustering with graph learning. Neurocomputing 547: 126320 (2023) - [j38]Tingjian Chen, Ying Zeng, Haoliang Yuan, Guo Zhong, Loi Lei Lai, Yuan Yan Tang:
Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning. Int. J. Mach. Learn. Cybern. 14(5): 1695-1709 (2023) - 2021
- [c27]Baifu Huang, Haoliang Yuan, Loi Lei Lai:
Latent shared representation for multi-view subspace clustering. IJCNN 2021: 1-8 - 2020
- [j28]Yanquan Huang, Haoliang Yuan, Loi Lei Lai:
Latent multi-view semi-supervised classification by using graph learning. Int. J. Wavelets Multiresolution Inf. Process. 18(5): 2050039:1-2050039:16 (2020) - [j27]Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang:
Low-rank matrix regression for image feature extraction and feature selection. Inf. Sci. 522: 214-226 (2020) - 2019
- [j24]Junjie Zheng, Haoliang Yuan, Loi Lei Lai:
Sparse discriminative least squares regression model. Int. J. Wavelets Multiresolution Inf. Process. 17(4): 1950028:1-1950028:15 (2019) - [j23]Chun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu, Giorgio Locatelli:
A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty. Inf. Sci. 470: 58-77 (2019) - [j21]Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang:
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection. Pattern Recognit. 89: 119-133 (2019) - [c25]Yingshan Tao, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai:
Multi-View Collaborative Representation Classification. ICMLC 2019: 1-6 - 2018
- [j20]Haoliang Yuan, Xuecong Li, Fangyuan Xu, Yifei Wang, Loi Lei Lai, Yuan Yan Tang:
A collaborative-competitive representation based classifier model. Neurocomputing 275: 627-635 (2018) - [j19]Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang:
Graph-based multiple rank regression for image classification. Neurocomputing 315: 394-404 (2018) - [j18]Haoliang Yuan, Junjie Zheng, Loi Lei Lai, Yuan Yan Tang:
A constrained least squares regression model. Inf. Sci. 429: 247-259 (2018) - [j17]Haoliang Yuan, Junjie Zheng, Loi Lei Lai, Yuan Yan Tang:
Sparse structural feature selection for multitarget regression. Knowl. Based Syst. 160: 200-209 (2018) - [j16]Haoliang Yuan, Junjie Zheng, Loi Lei Lai, Yuan Yan Tang:
Semi-supervised graph-based retargeted least squares regression. Signal Process. 142: 188-193 (2018) - [j15]Fangyuan Xu, Xin Cun, Mengxuan Yan, Haoliang Yuan, Yifei Wang, Loi Lei Lai:
Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization. IEEE Trans. Ind. Informatics 14(11): 5050-5059 (2018) - [c24]Junyu Li, Haoliang Yuan, Loi Lei Lai, Yiu-ming Cheung:
Joint Collaborative Representation and Discriminative Projection for Pattern Classification. CIS 2018: 125-129 - [c23]Baifu Huang, Danqi Wu, Chun Sing Lai, Xin Cun, Haoliang Yuan, Fangyuan Xu, Loi Lei Lai, Kim Fung Tsang:
Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor. INDIN 2018: 496-501 - 2017
- [j13]Haoliang Yuan, Loi Lei Lai:
Robust subspace learning method for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750060:1-1750060:21 (2017) - [c22]Haoliang Yuan, Junjie Zheng, Fangyuan Xu, Loi Lei Lai, Weiyang Li, Houqing Zheng, Zhimin Wang:
A Generalized Discriminative Least Squares Regression Model. ACPR 2017: 376-381
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