2014
Low-Rank Modeling and Its Applications in Image Analysis
Zhou X, Yang C, Zhao H, Yu W. Low-Rank Modeling and Its Applications in Image Analysis. ACM Computing Surveys 2014, 47: 1-33. DOI: 10.1145/2674559.Peer-Reviewed Original ResearchLow-rank modelingLow-rank matrix recoveryExact low-rank matrix recoveryImage analysisMatrix recoveryClass of methodsComputer visionLow-rank matrixCollaborative filteringData miningArt algorithmsConvex programmingRank modelingMatrix completionNumerical experimentsAlgorithmGreat successRelated applicationsSignal processingModelingVariables of interestApplicationsMiningProgrammingMore attention
2011
Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data
Luo R, Zhao H. Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data. The Annals Of Applied Statistics 2011, 5: 725-745. PMID: 22162986, PMCID: PMC3233205, DOI: 10.1214/10-aoas425.Peer-Reviewed Original ResearchMarkov chain Monte CarloReal data analysisBayesian hierarchical modeling frameworkHierarchical modelingHierarchical modeling frameworkBayesian hierarchical modelingStatistical inferencePosterior distributionMonte CarloNetwork sparsitySimulation studyIntrinsic noiseModeling frameworkMeasurement errorInterventional dataInferenceMultiple protein activitiesPathway inferenceCarloModelingInterventional experimentsSuch dataSparsityData analysisNoise
2001
A stochastic modeling of early HIV-1 population dynamics
Kamina A, Makuch R, Zhao H. A stochastic modeling of early HIV-1 population dynamics. Mathematical Biosciences 2001, 170: 187-198. PMID: 11292498, DOI: 10.1016/s0025-5564(00)00069-9.Peer-Reviewed Original Research