Minjia Mao

According to our database, Minjia Mao authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Early Stopping Chain-of-thoughts in Large Language Models.

Minjia Mao, Bowen Yin, Yu Zhu, Xiao Fang

CoRR, September, 2025

Measuring Stereotype and Deviation Biases in Large Language Models.

Daniel Wang, Eli Brignac, Minjia Mao, Xiao Fang

CoRR, August, 2025

A General Method for Detecting Information Generated by Large Language Models.

Minjia Mao, Dongjun Wei, Xiao Fang, Michael Chau

CoRR, June, 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, April, 2025

Watermarking Large Language Models: An Unbiased and Low-risk Method.

Minjia Mao, Dongjun Wei, Zeyu Chen, Xiao Fang, Michael Chau

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach.

Minjia Mao, Xiaohang Zhao, Xiao Fang

CoRR, 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

New Community Cold-Start Recommendation: A Novel Large Language Model-based Method.

Shangkun Che, Minjia Mao, Hongyan Liu

Proceedings of the 45th International Conference on Information Systems, 2024

2023

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

2021

A Hybrid of Deep Reinforcement Learning and Local Search for the Vehicle Routing Problems.

Jiuxia Zhao, Minjia Mao, Xi Zhao, Jianhua Zou

IEEE Trans. Intell. Transp. Syst., 2021

2020

City Metro Network Expansion with Reinforcement Learning.

Yu Wei, Minjia Mao, Xi Zhao, Jianhua Zou, Ping An

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Exploring the Prediction of Variety-seeking Behavior.

Jiazhao Li, Jiuxia Zhao, Minjia Mao, Xi Zhao, Jianhua Zou

Proceedings of the 2nd International Conference on Data Science and Information Technology, 2019