Le Ou-Yang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 60

Top Topics

Gene Expression

Clustering Framework

Protein Complexes

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Youlin Zhan, Jiahan Liu, Le Ou-Yang
scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Yu-Jie Chen, Wen-Hui Wu, Le Ou-Yang
Contrastive Subspace Clustering with Dissimilarity Regularization. ICMLC (2023)
Zerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao
MoVAE: A Variational AutoEncoder for Molecular Graph Generation. SDM (2023)
Bo Li, Ke Jin, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang
scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Jiaheng Zhang, Junjie Chen, Le Ou-Yang, Changsheng Chen, Ning Xie
Reading Multilevel 2-D Barcodes Using a Machine Learning Approach. IEEE Internet Things J. 10 (14) (2023)
Wenhui Wu, Yujie Chen, Ran Wang, Le Ou-Yang
Self-representative kernel concept factorization. Knowl. Based Syst. 259 (2023)
Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks. Comput. Biol. Medicine 159 (2023)
Zerun Lin, Le Ou-Yang
Inferring gene regulatory networks from single-cell gene expression data via deep multi-view contrastive learning. Briefings Bioinform. 24 (1) (2023)
Yiqiang Yi, Xu Wan, Yatao Bian, Le Ou-Yang, Peilin Zhao
ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking. CoRR (2023)
Guanhua Zou, Yilong Lin, Tianyang Han, Le Ou-Yang
DEMOC: a deep embedded multi-omics learning approach for clustering single-cell CITE-seq data. Briefings Bioinform. 23 (5) (2022)
Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. CoRR (2022)
Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR (2022)
Le Ou-Yang, Fan Lu, Zi-Chao Zhang, Min Wu
Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey. Briefings Bioinform. 23 (1) (2022)
Hui-Sheng Li, Le Ou-Yang, Yuan Zhu, Hong Yan, Xiao-Fei Zhang
scDEA: differential expression analysis in single-cell RNA-sequencing data via ensemble learning. Briefings Bioinform. 23 (1) (2022)
Yu-Ting Tan, Le Ou-Yang, Xingpeng Jiang, Hong Yan, Xiao-Fei Zhang
Identifying Gene Network Rewiring Based on Partial Correlation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Meng-Guo Wang, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang
Inferring Gene Co-Expression Networks by Incorporating Prior Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Zhizhi Li, Huai Zhang, Yimin Jin, Le Ou-Yang
Anderson accelerating the preconditioned modulus approach for linear complementarity problems on second-order cones. Numer. Algorithms 91 (2) (2022)
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
Recent advances in network-based methods for disease gene prediction. Briefings Bioinform. 22 (4) (2021)
Ting Xu, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang
Time-Varying Differential Network Analysis for Revealing Network Rewiring over Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Jia-Juan Tu, Le Ou-Yang, Yuan Zhu, Hong Yan, Hong Qin, Xiao-Fei Zhang
Differential network analysis by simultaneously considering changes in gene interactions and gene expression. Bioinform. 37 (23) (2021)
Yesen Sun, Le Ou-Yang, Dao-Qing Dai
WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Ming Zhang, Xuefei Zhe, Le Ou-Yang, Shifeng Chen, Hong Yan
Semantic Hierarchy Preserving Deep Hashing for Large-Scale Image Retrieval. MVA (2021)
Zhizhi Li, Huai Zhang, Le Ou-Yang
The selection of the optimal parameter in the modulus-based matrix splitting algorithm for linear complementarity problems. Comput. Optim. Appl. 80 (2) (2021)
Fan Lu, Yilong Lin, Chongbin Yuan, Xiao-Fei Zhang, Le Ou-Yang
EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Xiao-Fei Zhang, Le Ou-Yang, Ting Yan, Xiaohua Tony Hu, Hong Yan
A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types. IEEE Trans. Cybern. 51 (2) (2021)
Le Ou-Yang, Dehan Cai, Xiao-Fei Zhang, Hong Yan
WDNE: an integrative graphical model for inferring differential networks from multi-platform gene expression data with missing values. Briefings Bioinform. 22 (6) (2021)
Le Ou-Yang, Xiao-Fei Zhang, Xiaohua Hu, Hong Yan
Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Ning Xie, Le Ou-Yang, Alex X. Liu
Spectrum Sharing in mmWave Cellular Networks Using Clustering Algorithms. IEEE/ACM Trans. Netw. 28 (3) (2020)
Ning Xie, Le Ou-Yang, Alex X. Liu
A Machine Learning Approach to Phase Reference Estimation With Noise. IEEE Trans. Commun. 68 (4) (2020)
Fanglin Huang, Ee-Leng Tan, Peng Yang, Shan Huang, Le Ou-Yang, Jiuwen Cao, Tianfu Wang, Baiying Lei
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation. Medical Image Anal. 63 (2020)
Ke Jin, Le Ou-Yang, Xing-Ming Zhao, Hong Yan, Xiao-Fei Zhang
scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation. Bioinform. 36 (10) (2020)
Zi-Chao Zhang, Xiao-Fei Zhang, Min Wu, Le Ou-Yang, Xing-Ming Zhao, Xiaoli Li
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. Bioinform. 36 (11) (2020)
Le Ou-Yang, Xiao-Fei Zhang, Hong Yan
Sparse regularized low-rank tensor regression with applications in genomic data analysis. Pattern Recognit. 107 (2020)
Rui Yuan, Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang
Identifying Gene Network Rewiring Using Robust Differential Graphical Model with Multivariate $t$t-Distribution. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Ning Xie, Le Ou-Yang, Alex X. Liu
A Machine Learning Approach to Blind Multi-Path Classification for Massive MIMO Systems. IEEE/ACM Trans. Netw. 28 (5) (2020)
Jia-Juan Tu, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang, Hong Qin
Joint reconstruction of multiple gene networks by simultaneously capturing inter-tumor and intra-tumor heterogeneity. Bioinform. 36 (9) (2020)
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
Recent Advances in Network-based Methods for Disease Gene Prediction. CoRR (2020)
Jiang Huang, Min Wu, Fan Lu, Le Ou-Yang, Zexuan Zhu
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization. BMC Bioinform. (19) (2019)
Xuefei Zhe, Le Ou-Yang, Hong Yan
Improve L2-normalized Softmax with Exponential Moving Average. IJCNN (2019)
Xuefei Zhe, Le Ou-Yang, Shifeng Chen, Hong Yan
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval. CoRR (2019)
Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan
DiffNetFDR: differential network analysis with false discovery rate control. Bioinform. 35 (17) (2019)
Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. ISBI (2019)
Fanglin Huang, Ahmed El-Azab, Le Ou-Yang, Joseph Tan, Tianfu Wang, Baiying Lei
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis. ISBI (2019)
Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. MLMI@MICCAI (2019)
Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xing-Ming Zhao, Xiaohua Hu, Hong Yan
EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning. Bioinform. 35 (22) (2019)
Jia-Juan Tu, Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang
Inferring Gene Network Rewiring by Combining Gene Expression and Gene Mutation Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Le Ou-Yang, Xiao-Fei Zhang, Xing-Ming Zhao, Debby Dan Wang, Fu Lee Wang, Baiying Lei, Hong Yan
Joint Learning of Multiple Differential Networks With Latent Variables. IEEE Trans. Cybern. 49 (9) (2019)
Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan
DiffGraph: an R package for identifying gene network rewiring using differential graphical models. Bioinform. 34 (9) (2018)
Ting Xu, Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang
Identifying Gene Network Rewiring by Integrating Gene Expression and Gene Network Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Rui Guo, Yan-Ran Li, Shan He, Le Ou-Yang, Yiwen Sun, Zexuan Zhu
RepLong: de novo repeat identification using long read sequencing data. Bioinform. 34 (7) (2018)
Xiao-Fei Zhang, Le Ou-Yang, Hong Yan
Node-based differential network analysis in genomics. Comput. Biol. Chem. 69 (2017)
Le Ou-Yang, Hong Yan, Xiao-Fei Zhang
A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks. BMC Bioinform. 18 (S-13) (2017)
Min Wu, Le Ou-Yang, Xiaoli Li
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Xiao-Fei Zhang, Le Ou-Yang, Hong Yan
Incorporating prior information into differential network analysis using non-paranormal graphical models. Bioinform. 33 (16) (2017)
Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiaoli Li, Hong Yan
A two-layer integration framework for protein complex detection. BMC Bioinform. 17 (2016)
Meng-Yun Wu, Xiao-Fei Zhang, Dao-Qing Dai, Le Ou-Yang, Yuan Zhu, Hong Yan
Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer. BMC Bioinform. 17 (2016)
Xiao-Fei Zhang, Le Ou-Yang, Dao-Qing Dai, Meng-Yun Wu, Yuan Zhu, Hong Yan
Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks. BMC Bioinform. 17 (2016)
Le Ou-Yang, Hong Yan, Xiao-Fei Zhang
Identifying protein complexes via multi-network clustering. BIBM (2016)
Le Ou-Yang, Xiao-Fei Zhang, Dao-Qing Dai, Meng-Yun Wu, Yuan Zhu, Zhiyong Liu, Hong Yan
Protein complex detection based on partially shared multi-view clustering. BMC Bioinform. 17 (2016)
Le Ou-Yang, Dao-Qing Dai, Xiao-Fei Zhang
Detecting Protein Complexes from Signed Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (6) (2015)
Xiao-Fei Zhang, Le Ou-Yang, Yuan Zhu, Meng-Yun Wu, Dao-Qing Dai
Determining minimum set of driver nodes in protein-protein interaction networks. BMC Bioinform. 16 (2015)
Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning
Microbial community pattern detection in human body habitats via ensemble clustering framework. BMC Syst. Biol. 8 (S-4) (2014)
Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning
Microbial community pattern detection in human body habitats via ensemble clustering framework. CoRR (2014)
Le Ou-Yang, Dao-Qing Dai, Xiaoli Li, Min Wu, Xiao-Fei Zhang, Peng Yang
Detecting temporal protein complexes from dynamic protein-protein interaction networks. BMC Bioinform. 15 (2014)
Xiao-Fei Zhang, Dao-Qing Dai, Le Ou-Yang, Hong Yan
Detecting overlapping protein complexes based on a generative model with functional and topological properties. BMC Bioinform. 15 (2014)