Exploring the Prediction of Variety-seeking Behavior. - Jiazhao Li; Jiuxia Zhao; Minjia Mao; Xi Zhao 001; Jianhua Zou (DSIT, 2019)

City Metro Network Expansion with Reinforcement Learning. - Yu Wei; Minjia Mao; Xi Zhao 001; Jianhua Zou; Ping An (KDD, 2020)

A Hybrid of Deep Reinforcement Learning and Local Search for the Vehicle Routing Problems. - Jiuxia Zhao; Minjia Mao; Xi Zhao 001; Jianhua Zou (IEEE Trans. Intell. Transp. Syst., 2021)

Bias of AI-Generated Content: An Examination of News Produced by Large Language Models. - Xiao Fang; Shangkun Che; Minjia Mao; Hongzhe Zhang; Ming Zhao; Xiaohang Zhao (CoRR, 2023)

New Community Cold-Start Recommendation: A Novel Large Language Model-based Method. - Shangkun Che; Minjia Mao; Hongyan Liu 002 (ICIS, 2024)

A Watermark for Low-entropy and Unbiased Generation in Large Language Models. - Minjia Mao; Dongjun Wei; Zeyu Chen; Xiao Fang; Michael Chau (CoRR, 2024)

Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach. - Minjia Mao; Xiaohang Zhao; Xiao Fang (CoRR, 2024)

Watermarking Large Language Models: An Unbiased and Low-risk Method. - Minjia Mao; Dongjun Wei; Zeyu Chen; Xiao Fang; Michael Chau (ACL (1), 2025)

Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion. - Dongjun Wei; Minjia Mao; Xiao Fang; Michael Chau (CoRR, 2025)

A General Method for Detecting Information Generated by Large Language Models. - Minjia Mao; Dongjun Wei; Xiao Fang; Michael Chau (CoRR, 2025)

Measuring Stereotype and Deviation Biases in Large Language Models. - Daniel Wang; Eli Brignac; Minjia Mao; Xiao Fang (CoRR, 2025)