Greetings! I am a fourth-year PhD candidate at the Faculty of Business and Economics, the University of Hong Kong. Previously, I earned my master’s degree at the Institute of Information Engineering, Chinese Academy of Sciences. I also served as a visiting scholar at the Alfred Lerner College of Business & Economics, University of Delaware.
My research interests focus on computational design science in information systems, encompassing areas such as generative AI, large language models, fair machine learning, data mining, and big data in business analytics. In this vein, I employ methods from both information systems and computer science to tackle real-world problems in business and society. I have published not only in top computer science venues like ACL but also in prestigious information systems journals such as MIS Quarterly.
Dongjun Wei, Michael Chau, Zhepeng (Lionel) Li. Relieving Bias in Hate Speech Detection with a Small Number of Expert Annotations: A Prompt-based Learning Approach. MIS Quarterly (MISQ). forthcoming.
Large Langauge Model, Hate Speech Detection, Prompt-based Learning
Minjia Mao, Dongjun Wei, Zeyu Chen, Xiao Fang, and Michael Chau. 2025. Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method. ACL 2025.