Projects

Cooperative Model Framework with Minimal Viable Theoretical Data

An Efficient and Novel Approach for Predicting Kohn-Sham Total Energy--Bootstrapping a Cooperative Model Framework with Minimal Viable Theoretical Data

ccImpute algorithm to impute dropout events in the single-cell RNA-seq data

ccImpute--an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data

Regeneration of Lithium-ion Battery Impedance

Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data

Data-centric AI

Data Expressiveness and Its Use in Data-centric AI

Machine Learning Systems for Multi-Atoms Structures

CH3NH3PbI3 Perovskite Nanoparticles

Rare-class Learning

Rare-class Learning over Mg-Doped ZnO Nanoparticles

Atom Type Prediction

Predicting Atom Types in Different Temperatures

Artificial Intelligence Based Hospital Appointment System

Hospital Appointment System

Practical Data Science over Nanoparticles

Data Science

Deep Analysis of TiO2 Nanoparticles

DFTB calculations