AI in education
How can we bring AI into learning to make it more effective, while ensuring the technology is ethical and trustworthy?
CHENGYU XIAOPERSONAL & ACADEMIC
About me
Hi there! I’m Chengyu, a first-year master’s student in Computer Science at Johns Hopkins University.
I’m pursuing a Master of Science in Engineering (M.S.E.). Previously, I completed my BSc at the Education University of Hong Kong with first-class honors, where I had the opportunity to work with Prof. Philip Leung-ho Yu on AI in education.
I’m interested in applying AI to real-world problems, particularly where machine learning, computer vision, and embodied AI meet human needs.
WHAT DRIVES MY RESEARCH
AI should benefit people, with humans playing a leading role in how we interact with intelligent systems.
Research interests
I aim to develop algorithmic frameworks for useful, ethical, and trustworthy AI. Two questions guide my thinking:
Human-centered AI
What can AI in education teach us about building reliable AI applications that improve people’s lives more broadly?
News
I started my master’s studies at Johns Hopkins University!
Graduated from the Education University of Hong Kong with first-class honors.
Earlier news
Presented our paper, “Real-Time Stroke Sequence Recognition for Chinese Handwriting Characters,” at the 5th International Conference on Educational Technology (ICET 2025) in Chongqing, China.
Publications
System overview
Real-Time Stroke Sequence Recognition for Chinese Handwriting Characters
5th International Conference on Educational Technology, 2025
* Co-first authors
Read paperBeyond research
Outside of academics, I’m a big fan of Japanese animation and English football.
My favorite anime is Oshi no Ko (推しの子), especially Arima Kana (有馬かな). I also love Puella Magi Madoka Magica (魔法少女まどか☆マギカ) for its story of hope and despair. On match days, you’ll find me following the Premier League and cheering for Manchester United.
