DAFD: Domain Adaptation Framework for Fake News Detection. - Yinqiu Huang; Min Gao 001; Jia Wang; Kai Shu (ICONIP (1), 2021)

DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. - Chaoran Zhang; Min Gao 001; Yinqiu Huang; Feng Jiang 006; Jia Wang; Junhao Wen 001 (NLPCC (2), 2023)

Emulating Reader Behaviors for Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Zehua Zhao; Yinqiu Huang; Jia Wang (CoRR, 2023)

FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation. - Jia Wang; Min Gao 001; Yinqiu Huang; Kai Shu; Hualing Yi (Comput. Speech Lang., 2023)

Meta-prompt based learning for low-resource false information detection. - Yinqiu Huang; Min Gao 001; Jia Wang; Junwei Yin; Kai Shu; Qilin Fan; Junhao Wen 001 (Inf. Process. Manag., 2023)

Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Jia Wang; Yinqiu Huang; Wei Zhou 028 (ICASSP, 2024)

Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. - Yinqiu Huang; Shuli Wang; Min Gao 001; Xue Wei; Changhao Li; Chuan Luo; Yinhua Zhu; Xiong Xiao; Yi Luo (WWW (Companion Volume), 2024)

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. - Yinqiu Huang; Min Gao 001; Kai Shu; Chenghua Lin; Jia Wang; Wei Zhou 028 (ACM Trans. Knowl. Discov. Data, 2024)

Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Wentao Li 001; Yinqiu Huang; Zongwei Wang 002 (WWW, 2025)