Wei Cai
Wei’s research explores how large language models can be used to understand, detect, and explain scams in digital communication
Email: wei.cai@vuw.ac.nz
Supervisors: tiong.goh@vuw.ac.nz and yvonne.hong@vuw.ac.nz
Thesis title: Understanding and Advancing LLM-Based Scam Detection: Characteristics, Adversarial Generation, Performance, and User Agency
Profile:
Wei is a PhD candidate in Information Systems at Victoria University of Wellington, School of Information Management. She has studied Information Systems and holds a bachelor’s degree in finance.
After several years of study and work, Wei became increasingly aware of scams as a growing social problem. This motivated her to begin research on how artificial intelligence and large language models can be used to understand, detect, and explain scams in digital communication, with a focus on SMS scams targeting university students.
Qualifications:
- Master of Management Information Systems, Zhongnan University of Economics and Law, China
- Bachelor of Information Management and Information Systems, Zhongnan University of Economics and Law, China
- Bachelor of Finance, Zhongnan University of Economics and Law, China
Research Interests:
Wei is interested in applying advanced technologies to address real-world problems. Her research interests include large language models, natural language processing, machine learning, artificial intelligence applications, digital safety, scam detection, and human-centered AI.
Publications:
Wei’s publications are available on Google Scholar