Face recognition with continuous occlusion using partially iteratively reweighted sparse coding. - Xiao-Xin Li; Dao-Qing Dai; Xiao-Fei Zhang; Chuan-Xian Ren (ACPR, 2011)

Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage. - Meng-Yun Wu; Dao-Qing Dai; Yu Shi; Hong Yan 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

A Framework for Incorporating Functional Interrelationships into Protein Function Prediction Algorithms. - Xiao-Fei Zhang; Dao-Qing Dai (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model. - Xiao-Fei Zhang; Dao-Qing Dai; Xiao-Xin Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Identifying Spurious Interactions and Predicting Missing Interactions in the Protein-Protein Interaction Networks via a Generative Network Model. - Yuan Zhu; Xiao-Fei Zhang; Dao-Qing Dai; Meng-Yun Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Structured Sparse Error Coding for Face Recognition With Occlusion. - Xiao-Xin Li; Dao-Qing Dai; Xiao-Fei Zhang; Chuan-Xian Ren (IEEE Trans. Image Process., 2013)

Detecting temporal protein complexes from dynamic protein-protein interaction networks. - Le Ou-Yang; Dao-Qing Dai; Xiaoli Li 001; Min Wu 008; Xiao-Fei Zhang; Peng Yang (BMC Bioinform., 2014)

Detecting overlapping protein complexes based on a generative model with functional and topological properties. - Xiao-Fei Zhang; Dao-Qing Dai; Le Ou-Yang; Hong Yan 001 (BMC Bioinform., 2014)

Multi-model adaptive control based on fuzzy neural networks. - Xiaoli Li 011; Xiao-Fei Zhang; Chao Jia; De-Xin Liu (J. Intell. Fuzzy Syst., 2014)

Determining minimum set of driver nodes in protein-protein interaction networks. - Xiao-Fei Zhang; Le Ou-Yang; Yuan Zhu; Meng-Yun Wu; Dao-Qing Dai (BMC Bioinform., 2015)

Detecting Protein Complexes from Signed Protein-Protein Interaction Networks. - Le Ou-Yang; Dao-Qing Dai; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Identifying protein complexes via multi-network clustering. - Le Ou-Yang; Hong Yan 001; Xiao-Fei Zhang (BIBM, 2016)

A two-layer integration framework for protein complex detection. - Le Ou-Yang; Min Wu 008; Xiao-Fei Zhang; Dao-Qing Dai; Xiaoli Li 001; Hong Yan 001 (BMC Bioinform., 2016)

Protein complex detection based on partially shared multi-view clustering. - Le Ou-Yang; Xiao-Fei Zhang; Dao-Qing Dai; Meng-Yun Wu; Yuan Zhu; Zhiyong Liu; Hong Yan 001 (BMC Bioinform., 2016)

Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer. - Meng-Yun Wu; Xiao-Fei Zhang; Dao-Qing Dai; Le Ou-Yang; Yuan Zhu; Hong Yan 001 (BMC Bioinform., 2016)

Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks. - Xiao-Fei Zhang; Le Ou-Yang; Dao-Qing Dai; Meng-Yun Wu; Yuan Zhu; Hong Yan 001 (BMC Bioinform., 2016)

Incorporating prior information into differential network analysis using non-paranormal graphical models. - Xiao-Fei Zhang; Le Ou-Yang; Hong Yan 001 (Bioinform., 2017)

A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks. - Le Ou-Yang; Hong Yan 001; Xiao-Fei Zhang (BMC Bioinform., 2017)

Node-based differential network analysis in genomics. - Xiao-Fei Zhang; Le Ou-Yang; Hong Yan 001 (Comput. Biol. Chem., 2017)

Localized modes of the (n+1)-dimensional Schrödinger equation with power-law nonlinearities in PT-symmetric potentials. - Chao-Qing Dai; Xiao-Fei Zhang; Yan Fan; Liang Chen (Commun. Nonlinear Sci. Numer. Simul., 2017)

DiffGraph: an R package for identifying gene network rewiring using differential graphical models. - Xiao-Fei Zhang; Le Ou-Yang; Shuo Yang; Xiaohua Hu 001; Hong Yan 001 (Bioinform., 2018)

Identifying Gene Network Rewiring by Integrating Gene Expression and Gene Network Data. - Ting Xu; Le Ou-Yang; Xiaohua Hu 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

DiffNetFDR: differential network analysis with false discovery rate control. - Xiao-Fei Zhang; Le Ou-Yang; Shuo Yang; Xiaohua Hu 001; Hong Yan 001 (Bioinform., 2019)

EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning. - Xiao-Fei Zhang; Le Ou-Yang; Shuo Yang; Xing-Ming Zhao; Xiaohua Hu 001; Hong Yan 001 (Bioinform., 2019)

Inferring Gene Network Rewiring by Combining Gene Expression and Gene Mutation Data. - Jia-Juan Tu; Le Ou-Yang; Xiaohua Hu 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Joint Learning of Multiple Differential Networks With Latent Variables. - Le Ou-Yang; Xiao-Fei Zhang; Xing-Ming Zhao; Debby Dan Wang; Fu Lee Wang; Baiying Lei; Hong Yan 001 (IEEE Trans. Cybern., 2019)

scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation. - Ke Jin; Le Ou-Yang; Xing-Ming Zhao; Hong Yan 001; Xiao-Fei Zhang (Bioinform., 2020)

Joint reconstruction of multiple gene networks by simultaneously capturing inter-tumor and intra-tumor heterogeneity. - Jia-Juan Tu; Le Ou-Yang; Hong Yan 001; Xiao-Fei Zhang; Hong Qin 008 (Bioinform., 2020)

A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. - Zi-Chao Zhang 001; Xiao-Fei Zhang; Min Wu 008; Le Ou-Yang; Xing-Ming Zhao; Xiaoli Li 001 (Bioinform., 2020)

Sparse regularized low-rank tensor regression with applications in genomic data analysis. - Le Ou-Yang; Xiao-Fei Zhang; Hong Yan 001 (Pattern Recognit., 2020)

Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model. - Le Ou-Yang; Xiao-Fei Zhang; Xiaohua Hu 001; Hong Yan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Identifying Gene Network Rewiring Using Robust Differential Graphical Model with Multivariate $t$t-Distribution. - Rui Yuan; Le Ou-Yang; Xiaohua Hu 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

WDNE: an integrative graphical model for inferring differential networks from multi-platform gene expression data with missing values. - Le Ou-Yang; Dehan Cai; Xiao-Fei Zhang; Hong Yan 001 (Briefings Bioinform., 2021)

Differential network analysis by simultaneously considering changes in gene interactions and gene expression. - Jia-Juan Tu; Le Ou-Yang; Yuan Zhu; Hong Yan 001; Hong Qin 008; Xiao-Fei Zhang (Bioinform., 2021)

EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data. - Fan Lu; Yilong Lin; Chongbin Yuan; Xiao-Fei Zhang; Le Ou-Yang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Time-Varying Differential Network Analysis for Revealing Network Rewiring over Cancer Progression. - Ting Xu; Le Ou-Yang; Hong Yan 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types. - Xiao-Fei Zhang; Le Ou-Yang; Ting Yan; Xiaohua Tony Hu; Hong Yan 001 (IEEE Trans. Cybern., 2021)

scDEA: differential expression analysis in single-cell RNA-sequencing data via ensemble learning. - Hui-Sheng Li; Le Ou-Yang; Yuan Zhu; Hong Yan 001; Xiao-Fei Zhang (Briefings Bioinform., 2022)

Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization. - Ke Jin; Bo Li; Hong Yan 001; Xiao-Fei Zhang (Bioinform., 2022)

Identifying Gene Network Rewiring Based on Partial Correlation. - Yuting Tan 001; Le Ou-Yang; Xingpeng Jiang; Hong Yan 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Inferring Gene Co-Expression Networks by Incorporating Prior Protein-Protein Interaction Networks. - Meng-Guo Wang; Le Ou-Yang; Hong Yan 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Cell-type annotation with accurate unseen cell-type identification using multiple references. - Yi-Xuan Xiong; Meng-Guo Wang; Luonan Chen; Xiao-Fei Zhang (PLoS Comput. Biol., 2023)

scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation. - Bo Li; Ke Jin; Le Ou-Yang; Hong Yan 001; Xiao-Fei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

EnDecon: cell type deconvolution of spatially resolved transcriptomics data via ensemble learning. - Jia-Juan Tu; Hui-Sheng Li; Hong Yan; Xiao-Fei Zhang (Bioinform., 2023)

scDOT: enhancing single-cell RNA-Seq data annotation and uncovering novel cell types through multi-reference integration. - Yi-Xuan Xiong; Xiao-Fei Zhang (Briefings Bioinform., 2024)