Zhen Ming Jiang

Online defect prediction for imbalanced data

A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions

Engineering precision nanoparticles for drug delivery

Cancer nanomedicine: progress, challenges and opportunities

Soft Discoidal Polymeric Nanoconstructs Resist Macrophage Uptake and Enhance Vascular Targeting in Tumors

A survey on the use of topic models when mining software repositories

Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance*

Characterising the Digital Twin: A systematic literature review

MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ

Characterization of the microstructure of dairy systems using automated image analysis

Recent advances and applications of machine learning in solid-state materials science

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Learning from class-imbalanced data: Review of methods and applications

Big data: From beginning to future

Developing a Digital Thread / Digital Twin Aerodynamic Performance Authoritative Truth Source

Quantifying uncertainties in the microvascular transport of nanoparticles

An industrial study on the risk of software changes

Efficient 3D porous microstructure reconstruction via Gaussian random field and hybrid optimization

An exploratory study of the evolution of communicated information about the execution of large software systems

Assisting developers of Big Data Analytics Applications when deploying on Hadoop clouds

Multidisciplinary Statistical Sensitivity Analysis Considering Both Aleatory and Epistemic Uncertainties