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2020 – today
- 2024
[j52]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): 4336-4347 (2024)- 2023
- [j51]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) - [j50]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: 106936 (2023) - [j49]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): 12908-12922 (2023) - [j48]Wenhui Wu, Yujie Chen, Ran Wang, Le Ou-Yang:
Self-representative kernel concept factorization. Knowl. Based Syst. 259: 110051 (2023) - [j47]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): 1445-1456 (2023) - [j46]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): 6121-6132 (2023) - [c8]Yu-Jie Chen, Wenhui Wu, Le Ou-Yang:
Contrastive Subspace Clustering with Dissimilarity Regularization. ICMLC 2023: 128-133 - [c7]Zerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao:
MoVAE: A Variational AutoEncoder for Molecular Graph Generation. SDM 2023: 514-522 - [i6]Yiqiang Yi, Xu Wan, Yatao Bian, Le Ou-Yang, Peilin Zhao:
ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking. CoRR abs/2310.08061 (2023) - 2022
- [j45]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) - [j44]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) - [j43]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) - [j42]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): 803-839 (2022) - [j41]Yuting 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): 513-521 (2022) - [j40]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): 2894-2906 (2022) - [i5]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 abs/2209.13178 (2022) - [i4]Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao:
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR abs/2210.16098 (2022) - 2021
- [j39]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) - [j38]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) - [j37]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): 4414-4423 (2021) - [j36]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): 617-638 (2021) - [j35]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): 1632-1642 (2021) - [j34]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): 2781-2787 (2021) - [j33]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): 2891-2897 (2021) - [j32]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): 1043-1055 (2021) - [c6]Ming Zhang, Xuefei Zhe, Le Ou-Yang, Shifeng Chen, Hong Yan:
Semantic Hierarchy Preserving Deep Hashing for Large-Scale Image Retrieval. MVA 2021: 1-5 - 2020
- [j31]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): 2755-2762 (2020) - [j30]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): 3131-3138 (2020) - [j29]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): 3474-3481 (2020) - [j28]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: 101662 (2020) - [j27]Le Ou-Yang, Xiao-Fei Zhang, Hong Yan:
Sparse regularized low-rank tensor regression with applications in genomic data analysis. Pattern Recognit. 107: 107516 (2020) - [j26]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): 712-718 (2020) - [j25]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): 2162-2169 (2020) - [j24]Ning Xie, Le Ou-Yang, Alex X. Liu:
A Machine Learning Approach to Phase Reference Estimation With Noise. IEEE Trans. Commun. 68(4): 2579-2592 (2020) - [j23]Ning Xie, Le Ou-Yang, Alex X. Liu:
Spectrum Sharing in mmWave Cellular Networks Using Clustering Algorithms. IEEE/ACM Trans. Netw. 28(3): 1378-1390 (2020) - [j22]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): 2309-2322 (2020) - [i3]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 abs/2007.10848 (2020)
2010 – 2019
- 2019
- [j21]Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan:
DiffNetFDR: differential network analysis with false discovery rate control. Bioinform. 35(17): 3184-3186 (2019) - [j20]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): 4827-4829 (2019) - [j19]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. 20-S(19): 657 (2019) - [j18]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): 1042-1048 (2019) - [j17]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): 3494-3506 (2019) - [c5]Xuefei Zhe, Le Ou-Yang, Hong Yan:
Improve L2-normalized Softmax with Exponential Moving Average. IJCNN 2019: 1-7 - [c4]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: 1555-1558 - [c3]Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. ISBI 2019: 1598-1601 - [c2]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: 516-524 - [i2]Xuefei Zhe, Le Ou-Yang, Shifeng Chen, Hong Yan:
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval. CoRR abs/1901.11259 (2019) - 2018
- [j16]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): 1099-1107 (2018) - [j15]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): 1571-1573 (2018) - [j14]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): 2079-2085 (2018) - 2017
- [j13]Xiao-Fei Zhang, Le Ou-Yang, Hong Yan:
Incorporating prior information into differential network analysis using non-paranormal graphical models. Bioinform. 33(16): 2436-2445 (2017) - [j12]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): 23-34 (2017) - [j11]Xiao-Fei Zhang, Le Ou-Yang, Hong Yan:
Node-based differential network analysis in genomics. Comput. Biol. Chem. 69: 194-201 (2017) - [j10]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): 733-739 (2017) - 2016
- [j9]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: 100 (2016) - [j8]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: 108 (2016) - [j7]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: 358 (2016) - [j6]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: 371 (2016) - [c1]Le Ou-Yang, Hong Yan, Xiao-Fei Zhang:
Identifying protein complexes via multi-network clustering. BIBM 2016: 645-650 - 2015
- [j5]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: 146:1-146:13 (2015) - [j4]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): 1333-1344 (2015) - 2014
- [j3]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: 186 (2014) - [j2]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: 335 (2014) - [j1]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): S7 (2014) - [i1]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 abs/1412.7384 (2014)
Coauthor Index
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