Interested Topics
- Misinformation Detection
- Large Language Model Applications and Dark Sides
- Learning for Optimization
Paper under Review
Mao, M., Zhao, X., & Fang, X. (2024). Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach. Under first round major revision at Management Science. Paper
Mao, M.*, Wei, D.*, Fang, X., & Chau, M. (2024). A General Model for Detecting Information Generated by Large Language Models. Under review at MIS Quarterly.
Selected Working Paper
- Che, S.*, Mao, M.*, Fang, X. & Liu, H. (2024). New Community Cold-Start Recommendation: A Novel Large Language Model-based Method. Co-first author. ICIS 2024 Best Paper Nominee. Paper
Selected Publications
Wei, D.*, Mao, M.*, Fang, X., & Chau, M. (2025). Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion. Corresponding author, COLM 2025. Paper Code.
Mao, M.*, Wei, D.*, Chen, Z.*, Fang, X., & Chau, M. (2025). A Watermark for Low-entropy and Unbiased Generation in Large Language Models. Corresponding author, ACL 2025. Paper Code
Fang, X., Che, S., Mao, M., Zhang, H., Zhao, M., & Zhao, X. (2024). Bias of AI-generated content: an examination of news produced by large language models. Scientific Reports, 14(1), 5224. Paper Data 2024 SCI top1% Cited Paper
Wei, Y., Mao, M., Zhao, X., Zou, J., & An, P. (2020). City metro network expansion with reinforcement learning. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining (pp. 2646-2656). Paper Code
Zhao, J.*, Mao, M.*, Zhao, X., & Zou, J. (2020). A hybrid of deep reinforcement learning and local search for the vehicle routing problems. IEEE Transactions on Intelligent Transportation Systems, 22(11), 7208-7218. Equal contributions. Paper