Featured Publications
Characterizing Spatiotemporal Transcriptome of the Human Brain Via Low-Rank Tensor Decomposition
Liu T, Yuan M, Zhao H. Characterizing Spatiotemporal Transcriptome of the Human Brain Via Low-Rank Tensor Decomposition. Statistics In Biosciences 2022, 14: 485-513. DOI: 10.1007/s12561-021-09331-5.Peer-Reviewed Original ResearchLow-rank tensor decompositionTensor decompositionPower iterationClassical principal component analysisStatistical performanceNumerical experimentsTensor unfoldingStatistical methodsGene expression dataEfficient algorithmData matrixExpression dataTensor principal componentsBrain expression dataPrincipal component analysisIterationDecompositionSpatiotemporal transcriptomeImplicit assumptionAlgorithmDynamicsTrajectoriesGuaranteesAssumptionSpatial patterns
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