Haoliang Yuan

76 papers A* 1A 1B 8C 3Misc 3Journal 48Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification.
IEEE Trans. Emerg. Top. Comput. Intell.
Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2025 J jnl
A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization.
IEEE Trans. Comput. Biol. Bioinform.
Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2025 J jnl
Learning to estimate 3D interactive two-hand poses with attention perception.
Image Vis. Comput.
Wai Keung Wong, Hao Liang, Hongkun Sun, Weijun Sun, Haoliang Yuan, Shuping Zhao, Lunke Fei
2025 J jnl
Online unsupervised multi-view feature selection with adaptive neighbors.
Int. J. Wavelets Multiresolution Inf. Process.
Yihao Ai, Guo Zhong, Tingjian Chen, Haoliang Yuan, Loi Lei Lai
2024 J jnl
Design, Synthesis, and Biological Evaluation of Chroman Derivatives as PD-1/PD-L1 Antagonists.
J. Chem. Inf. Model.
Luosen Wang, Jie Hou, Peng Cao, Zhiying Yao, Shijun Wang, Yuying Zhang, Sheng Wang, Haoliang Yuan, Liu Liu
2024 J jnl
MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck.
IEEE Trans. Ind. Informatics
Ming Yin, Xin Liu, Junli Gao, Haoliang Yuan, Taisong Jin, Shengwei Zhang, Lingling Li
2024 J jnl
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.
IEEE J. Biomed. Health Informatics
Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai
2024 J jnl
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning.
IEEE Trans. Knowl. Data Eng.
Junyu Li, Fei Qi, Haoliang Yuan, Cheng Zhong, Hongmin Cai
2023 J jnl
Anchor-based multi-view subspace clustering with graph learning.
Neurocomputing
Chao Su, Haoliang Yuan, Loi Lei Lai, Qiang Yang
2023 J jnl
Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network.
Expert Syst. Appl.
Ming Yin, Shaocong He, Tourfique Ahemd Soomro, Haoliang Yuan
2023 J jnl
Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning.
Int. J. Mach. Learn. Cybern.
Tingjian Chen, Ying Zeng, Haoliang Yuan, Guo Zhong, Loi Lei Lai, Yuan Yan Tang
2023 J jnl
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter.
IEEE Trans. Cybern.
Junyu Li, Jiazhou Chen, Fei Qi, Tingting Dan, Wanlin Weng, Bin Zhang, Haoliang Yuan, Hongmin Cai, Cheng Zhong
2022 J jnl
Discovery of a Novel Macrocyclic ATP Citrate Lyase Inhibitor.
J. Chem. Inf. Model.
Yongjun Zang, Luyang Tai, Yuanyang Hu, Yu Wang, Hongbin Sun, Xiaoan Wen, Haoliang Yuan, Liang Dai
2022 J jnl
Erratum: Multi-view feature selection via sparse tensor regression.
Int. J. Wavelets Multiresolution Inf. Process.
Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang
2022 J jnl
Hierarchical unsupervised multi-view feature selection.
Int. J. Wavelets Multiresolution Inf. Process.
Tingjian Chen, Haoliang Yuan, Ming Yin
2022 J jnl
MIVCN: Multimodal interaction video captioning network based on semantic association graph.
Appl. Intell.
Ying Wang, Guoheng Huang, Yuming Lin, Haoliang Yuan, Chi-Man Pun, Wing-Kuen Ling, Lianglun Cheng
2022 J jnl
Multi-view unsupervised feature selection with tensor low-rank minimization.
Neurocomputing
Haoliang Yuan, Junyu Li, Yong Liang, Yuan Yan Tang
2022 J jnl
Uncertainty-Guided Optimal Scheduling of Automated Energy Internet.
IEEE Trans. Ind. Informatics
Wei Liu, Huainian Zhu, Haoliang Yuan
2021 J jnl
Discovery of Novel Small Molecule Inhibitors Disrupting the PCSK9-LDLR Interaction.
J. Chem. Inf. Model.
Hengzhi Sun, Jinzheng Wang, Shengjie Liu, Xinyu Zhou, Liang Dai, Caiping Chen, Qinglong Xu, Xiaoan Wen, Keguang Cheng, Hongbin Sun, Haoliang Yuan
2021 B conf
Latent shared representation for multi-view subspace clustering.
IJCNN
Baifu Huang, Haoliang Yuan, Loi Lei Lai
2021 J jnl
Multi-view feature selection via sparse tensor regression.
Int. J. Wavelets Multiresolution Inf. Process.
Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang
2020 J jnl
Discovery of Novel Peroxisome Proliferator-Activated Receptor α (PPARα) Agonists by Virtual Screening and Biological Evaluation.
J. Chem. Inf. Model.
Liang Dai, Zhiqi Feng, Rili Zha, Keguang Cheng, Xiaoan Wen, Hongbin Sun, Haoliang Yuan
2020 J jnl
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.
Shengjie Liu, Xinyu Zhou, Minglei Li, Wenfeng Zhao, Shuxi Zhou, Keguang Cheng, Qinglong Xu, Caiping Chen, Xiaoan Wen, Hongbin Sun, Haoliang Yuan
2020 B conf
Discrete Semantic Matrix Factorization Hashing for Cross-Modal Retrieval.
ICPR
Jianyang Qin, Lunke Fei, Shaohua Teng, Wei Zhang, Dongning Liu, Genping Zhao, Haoliang Yuan
2020 J jnl
Latent multi-view semi-supervised classification by using graph learning.
Int. J. Wavelets Multiresolution Inf. Process.
Yanquan Huang, Haoliang Yuan, Loi Lei Lai
2020 J jnl
Low-rank matrix regression for image feature extraction and feature selection.
Inf. Sci.
Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang
2019 J jnl
A Selectivity Study of FFAR4/FFAR1 Agonists by Molecular Modeling.
J. Chem. Inf. Model.
Xiangying Zhang, Hongbin Sun, Xiaoan Wen, Haoliang Yuan
2019 J jnl
A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty.
Inf. Sci.
Chun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu, Giorgio Locatelli
2019 J jnl
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection.
Pattern Recognit.
Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang
2019 Misc conf
Multi-View Collaborative Representation Classification.
ICMLC
Yingshan Tao, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai
2019 J jnl
Sparse discriminative least squares regression model.
Int. J. Wavelets Multiresolution Inf. Process.
Junjie Zheng, Haoliang Yuan, Loi Lei Lai
2018 J jnl
A collaborative-competitive representation based classifier model.
Neurocomputing
Haoliang Yuan, Xuecong Li, Fangyuan Xu, Yifei Wang, Loi Lei Lai, Yuan Yan Tang
2018 J jnl
A constrained least squares regression model.
Inf. Sci.
Haoliang Yuan, Junjie Zheng, Loi Lei Lai, Yuan Yan Tang
2018 J jnl
Graph-based multiple rank regression for image classification.
Neurocomputing
Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang
2018 C conf
Joint Collaborative Representation and Discriminative Projection for Pattern Classification.
CIS
Junyu Li, Haoliang Yuan, Loi Lei Lai, Yiu-ming Cheung
2018 C conf
Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor.
INDIN
Baifu Huang, Danqi Wu, Chun Sing Lai, Xin Cun, Haoliang Yuan, Fangyuan Xu, Loi Lei Lai, Kim Fung Tsang
2018 J jnl
Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization.
IEEE Trans. Ind. Informatics
Fangyuan Xu, Xin Cun, Mengxuan Yan, Haoliang Yuan, Yifei Wang, Loi Lei Lai
2018 J jnl
Semi-supervised graph-based retargeted least squares regression.
Signal Process.
Haoliang Yuan, Junjie Zheng, Loi Lei Lai, Yuan Yan Tang
2018 J jnl
Sparse structural feature selection for multitarget regression.
Knowl. Based Syst.
Haoliang Yuan, Junjie Zheng, Loi Lei Lai, Yuan Yan Tang
2017 — conf
A Generalized Discriminative Least Squares Regression Model.
ACPR
Haoliang Yuan, Junjie Zheng, Fangyuan Xu, Loi Lei Lai, Weiyang Li, Houqing Zheng, Zhimin Wang
2017 J jnl
Robust patch-based sparse representation for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process.
Haoliang Yuan
2017 J jnl
Robust subspace learning method for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process.
Haoliang Yuan, Loi Lei Lai
2017 J jnl
Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification.
IEEE Trans. Cybern.
Haoliang Yuan, Yuan Yan Tang
2016 B conf
A hybrid swarm optimization for neural network training with application in stock price forecasting.
SMC
Jianjia Pan, Yuan Yan Tang, Yulong Wang, Xianwei Zheng, Huiwu Luo, Haoliang Yuan, Patrick Shen-Pei Wang
2016 — ch.
Manifold-based Sparse Representation for hyperspectral Image Classification.
Handbook of Pattern Recognition and Computer Vision
Yuan Yan Tang, Haoliang Yuan
2016 Misc conf
Multi-windowed graph Fourier frames.
ICMLC
Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, Haoliang Yuan, Yulong Wang, Lina Yang, Jianjia Pan
2015 — conf
A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network.
CYBCONF
Jianjia Pan, Xianwei Zheng, Lina Yang, Yulong Wang, Haoliang Yuan, Yuan Yan Tang
2015 — conf
Classification via atomic representation.
CYBCONF
Yulong Wang, Yuan Yan Tang, Lina Yang, Huiwu Luo, Haoliang Yuan, Xianwei Zheng, Jianjia Pan
2015 J jnl
Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform.
IEEE Trans. Geosci. Remote. Sens.
Yuan Yan Tang, Yang Lu, Haoliang Yuan
2015 J jnl
Learning With Hypergraph for Hyperspectral Image Feature Extraction.
IEEE Geosci. Remote. Sens. Lett.
Haoliang Yuan, Yuan Yan Tang
2015 — conf
Redundant graph Fourier transform.
CYBCONF
Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, Lina Yang, Haoliang Yuan, Yulong Wang, Chunli Li
2015 — conf
Similarity analysis based on sparse representation for protein sequence comparison.
CYBCONF
Lina Yang, Yuan Yan Tang, Yulong Wang, Huiwu Luo, Jianjia Pan, Haoliang Yuan, Xianwei Zheng, Chunli Li, Ting Shu
2015 J jnl
Sparse Representation Based on Set-to-Set Distance for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Haoliang Yuan, Yuan Yan Tang
2014 J jnl
A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Haoliang Yuan, Yuan Yan Tang
2014 B conf
A novel method for protein structure retrieval using tableau representation and sparse coding.
SMC
Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo, Yuan Yan Tang
2014 B conf
Feature extraction based on kernel sparse representation for hyperspectral image classification.
SMC
Haoliang Yuan, Huiwu Luo, Lina Yang, Yang Lu, Yulong Wang, Yuan Yan Tang
2014 J jnl
Hyperspectral Image Classification Based on Regularized Sparse Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo
2014 J jnl
Manifold-Based Sparse Representation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yuan Yan Tang, Haoliang Yuan, Luoqing Li
2014 J jnl
Molecular Modeling of Exquisitely Selective c-Met Inhibitors through 3D-QSAR and Molecular Dynamics Simulations.
J. Chem. Inf. Model.
Haoliang Yuan, Jin Zhuang, Shihe Hu, Huifang Li, Jinxing Xu, Yaning Hu, Xiao Xiong, Yadong Chen, Tao Lu
2014 B conf
Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification.
ICPR
Haoliang Yuan, Yuan Yan Tang
2014 B conf
Protein sequence analysis based on fractal-wavelet scheme.
SMC
Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo, Yulong Wang, Haoliang Yuan
2014 J jnl
Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo
2014 B conf
Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields.
SMC
Yulong Wang, Yuan Yan Tang, Lina Yang, Haoliang Yuan, Huiwu Luo, Yang Lu
2013 J jnl
An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors.
J. Chem. Inf. Model.
Yanmin Zhang, Shangyan Yang, Yu Jiao, Haichun Liu, Haoliang Yuan, Shuai Lu, Ting Ran, Sihui Yao, Zhipeng Ke, Jinxing Xu, Xiao Xiong, Yadong Chen, Tao Lu
2013 — conf
Dimension reduction with randomized anisotropic transform for hyperspectral image classification.
CYBCONF
Huiwu Luo, Lina Yang, Haoliang Yuan, Yuan Yan Tang
2013 Misc conf
Feature extraction based on discriminant analysis with penalty constraint for hyperspectral image classification.
ICMLC
Huiwu Luo, Lina Yang, Yuan-Man Li, Haoliang Yuan, Yuan Yan Tang
2013 J jnl
Fragment-based strategy for structural optimization in combination with 3D-QSAR.
J. Comput. Aided Mol. Des.
Haoliang Yuan, Wenting Tai, Shihe Hu, Haichun Liu, Yanmin Zhang, Sihui Yao, Ting Ran, Shuai Lu, Zhipeng Ke, Xiao Xiong, Jinxing Xu, Yadong Chen, Tao Lu
2013 — conf
Graph-based Sparse Representation for Hyperspectral Image Classification.
MLDM Posters
Yuan Yan Tang, Haoliang Yuan, Yang Lu, Patrick Shen-Pei Wang
2013 — conf
Learning recovered pattern from region-dependent model for hyperspectral imagery.
CYBCONF
Huiwu Luo, Lina Yang, Haoliang Yuan, Yuan Yan Tang
2013 — conf
Sparse representation using contextual information for hyperspectral image classification.
CYBCONF
Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang
2013 — conf
Spectral-spatial linear discriminant analysis for hyperspectral image classification.
CYBCONF
Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang
2012 A* conf
Geometry constrained sparse coding for single image super-resolution.
CVPR
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yuan, Xuelong Li
2011 A conf
Image Denoising via Improved Sparse Coding.
BMVC
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Luoqing Li, Xuelong Li
2011 C conf
Local learning-based image super-resolution.
MMSP
Xiaoqiang Lu, Haoliang Yuan, Yuan Yuan, Pingkun Yan, Luoqing Li, Xuelong Li
2011 J jnl
Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery.
J. Chem. Inf. Model.
Haoliang Yuan, Tao Lu, Ting Ran, Haichun Liu, Shuai Lu, Wenting Tai, Ying Leng, Weiwei Zhang, Jian Wang, Yadong Chen
2011 — conf
Utilizing homotopy for single image superresolution.
ACPR
Xiaoqiang Lu, Pingkun Yan, Yuan Yuan, Xuelong Li, Haoliang Yuan