Xinqian Wang

173 Macquarie St, St.Lucia, Brisbane | 4067

Call: 0435574757

Email: xinqian.wang@uqconnect.edu.au

Last Update: 08/02/2021

Education

University of Queensland

Master of Data Science(2020.2-2021.11)

Academic Highlights

Three things I would always talk to people with my two-years' accomplishments in UQ.

1. Computer Vision

I learned many classification models, such as AlexNet, VGG, ResNet, DenseNet and SimCLR..., during this journey.

2. Optimization Research

I modeled a vehical problem(cars, petrol stations, customer stations, and deports) with a reference from a very good paper and kept improving the operation speed(with assistance to dual variable).

3. Probability Statistics

I wrote code and watched vedio to learn some statistical models like MCMC, E-M, Dirichlet Process... during my vocation.

Academic Accomplishments

Arranged by date, some vital experiences are attached with a symbol of "*"

Data7901: Data Science Capstone Project 1: Burn Wound Image Classiication

Seminar Presentation

• PPT

CESS7030: Introduction to Introduction to Software Engineering

Simple Minesweeper Game, involving the utilization of python's fundemental data structures

• Code

Pipe Game, involving the knowledge of python class's Inheritance

• Code

Minesweeper Game, involving the knowledge of Graphical User Interface

• Code*

MATH7232: Operations Research & Mathematical Planning*

Mixed Integer Linear Programming Problem: Transporation Problem

• Linear Programming Boss and Client Report
• Integer Programming Boss Report

Dynamic Programming Problem: Calculate the Expectation-Maximization

• Boss Report
• Client Report

MATH7202: Advanced Topics in Operations Research**

Vehical Scheduling Paper

• Prototype Paper
• Group Report*
• Code*

DATA7703: Machine Learning for Data Scientists*

Decision Tree

• Code*

Facial Recognization with PCA

• Code*

My First Pytorch Model(In the 4th page of the pdf)

• PDF

MATH7502: Mathematics for Data Science 2

Final Project: Select Mathmetic Topics And Explain

• Gradient Descent
• Multi-objective Least Squares
• Multivariate Gaussian Distributions and Weighted Least Squares

DATA7202: Statistical Methods for Data Science

Statistical Model

• Linear Regression PDF
• Sampling Strategy PDF*

Queue Theory

• Queue Theory PDF
• Queue Theory Code*

INFS7450: Social Media Analytics

• Blandes Algorithm Code
• Link Prediction Code*

Previous Focusing On(Feb.2021-April.2021)

Python Algorithms and Data Structures

• LeetCode Learning

Pytorch Learning

• Updating in the future

Past Concentration(Nov.2020-Feb.2021)

Python Algorithms and Data Structures

• LeetCode Learning
• Book_Problem Solving with Algorithms and Data Structures(2nd Edition)_Brad Miller and David Ranum

Machine Learning

• 2009_Book_The Elements of Statistic Learning_Trevor Hastie
• Book_2016_Watermelon Book(西瓜书)_Zhihua Zhou
• MIT's online course about Deep Learning

Linear Algebra Learning

• Book_2019_Linear Algebra And Learning From Data_Gilbert Strang
• Book_2017_Numerical Linear Algebra An Introduction_Holger Wendland

Interested Topics

Optimization

• Sports Scheduling
• Vehicle Scheduling
• Integer Programming

Machine Learning

• Computer Vision
• Relevant Algorithms