Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Zhengjia Wang 001; Zhiwei Jin (ACL (industry), 2023)

Understanding News Creation Intents: Frame, Dataset, and Method. - Zhengjia Wang 001; Danding Wang; Qiang Sheng 001; Juan Cao 001; Silong Su; Yifan Sun; Beizhe Hu; Siyuan Ma (CoRR, 2023)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yuhui Shi 002; Yang Li 196; Danding Wang; Peng Qi 005 (AAAI, 2024)

Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models. - Qiong Nan; Qiang Sheng 001; Juan Cao 001; Beizhe Hu; Danding Wang; Jintao Li 001 (CIKM, 2024)

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. - Yuhui Shi 002; Qiang Sheng 001; Juan Cao 001; Hao Mi; Beizhe Hu; Danding Wang (IJCAI, 2024)

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yang Li 196; Danding Wang (SIGIR, 2025)

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning. - Yuhui Shi 002; Yehan Yang; Qiang Sheng 001; Hao Mi; Beizhe Hu; Chaoxi Xu; Juan Cao 001 (CoRR, 2025)