Imaging Genetics Biclustering (In Prograss)
Research Project, Perelman School of Medicine (Upenn), Philadelphia PA, USA
We are developing biomedical meaningful imaging-genetics biclustering algorithm.
Projects
Bayesian Generalized Factor Analysis Model (In Progress)
Research Project, Perelman School of Medicine (Upenn), Philadelphia PA, USA
We are developing a generalized Bayesian factor analysis (GBFA) framework, which is a sparse Bayesian factor analysis that can take into account the graph information.
Analysis of Case Fatality Rate Related to Coronavirus Disease 2019
Final Project of Bayesian Statistics Course, The Wharton School (Upenn), Philadelphia PA, USA
We provide a Bayesian Mixture Model to classify the Case Fatality Rate (CFR) of Coronavirus Disease 2019 (COVID-19) in terms of region.
Estimating Hard-tissue Conditions from Dental Images via Machine Learning
Research Project, Perelman School of Medicine (Upenn), Philadelphia PA, USA
We applied four categories of machine learning strategies including nine different methods with two different feature representations to estimate the probability and severity of dental hard-tissue conditions from photographic tooth images.
On the Maximal Size of Large-Average Submatrices in a Gaussian Random Matrix: Theoretical and Numerical Approaches
Final Project of Probability Course, School of Arts and Sciences (Upenn), Philadelphia PA, USA
We investigated the maximal size of submatrices with average of the values of such submatrices more than a fixed positive number in the Gaussian random matrix.
Structural Connectivity Enriched Functional Brain network using Simplex Regression with GraphNet
Research Project, Perelman School of Medicine (Upenn), Philadelphia PA, USA
We applied four categories of machine learning strategies including nine different methods with two different feature representations to estimate the probability and severity of dental hard-tissue conditions from photographic tooth images.
Estimation of N6-Methyladenosine Specific Binding mRNA Fragment Proportion
Final Year Project, Xi'an Jiaotong-Liverpool University, Suzhou Jiangsu, China
We are aiming to analyse the RNA methylation sites in a given set of genes in which the two main tasks are RNA methylation site detection and differential methylation analysis.
Optimization of the depth of chest compression for Chinese people in cardiopulmonary resuscitation (CPR)
Research Project, Xi'an Jiaotong-Liverpool University, Suzhou Jiangsu, China
We evaluated the appropriateness of the chest compression (CC) depth recommended in the current CPR guidelines and to characterize the optimal CC depth for an adult by body mass index (BMI).
Optimal Scheduling for CK Advertisements on TV Programs
Research Project, Xi'an Jiaotong-Liverpool University, Suzhou Jiangsu, China
We applied two ways, impression based approach and demographic approach, in evaluation of the advertisements orders for a specific company with modified data provided by Clypd.