Hi, I'm Qizhao Chen

Researcher | AI & Machine Learning | Computer Vision | Finance

Welcome to my personal website.

About Me

I am a researcher working in artificial intelligence, machine learning, and data science.

My research interests include deep learning, financial forecasting, graph neural networks, natural language processing, and computer vision.

Research

Stock Price Prediction

Research on stock price and return prediction using news sentiment, graph neural networks, and Transformer-based models.

Graph Neural Networks

Research on temporal graph neural networks and dynamic relationships between companies.

Computer Vision

Research and projects involving computer vision and deep learning.

Education

University of Hyogo, Kobe, Japan

Ph.D. in Information Science, 2024-2026

Singapore Management University, Singapore

M.Sc. in Quantitative Finance, 2018-2019

Hong Kong Shue Yan University, China

Bachelor of Business Administration, 2014-2018

Work Experience

University Lecturer

Guangdong University of Foreign Studies South China Business College, Guangzhou, China

2026 - Present

Teaching courses in computer science and data analytics.

Teaching Assistant

Chinese University of Hong Kong, Shenzhen, China

2020 - 2024

Assisted in teaching courses related to finance, Python, and machine learning.

Python Specialist

AXA Insurance, Singapore

2019 - 2020

Python specialist in the actuarial department.

Contact

GitHub: GitHub

LinkedIn: LinkedIn

ResearchGate: ResearchGate

Hobbies

Outside of research and teaching, I am a passionate fan of hard rock music. Some of my favorite bands include AC/DC, Van Halen, and Guns N' Roses.

AC/DC

AC/DC

One of my favorite hard rock bands, known for their powerful riffs, energetic performances, and straightforward rock sound.

Van Halen

Van Halen

A legendary rock band that has had a major influence on my interest in electric guitar and hard rock.

Guns N' Roses

Guns N' Roses

One of my favorite bands from the 1980s and 1990s, especially for their guitar-driven songs and iconic rock sound.