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Yinqiu Huang
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2020 – today
- 2024
- [j3]Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou:
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. ACM Trans. Knowl. Discov. Data 18(8): 185:1-185:25 (2024) - [c4]Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou:
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. ICASSP 2024: 12541-12545 - [c3]Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo:
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. WWW (Companion Volume) 2024: 226-234 - [i2]Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo:
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. CoRR abs/2402.03379 (2024) - 2023
- [j2]Jia Wang, Min Gao, Yinqiu Huang, Kai Shu, Hualing Yi:
FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation. Comput. Speech Lang. 78: 101461 (2023) - [j1]Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen:
Meta-prompt based learning for low-resource false information detection. Inf. Process. Manag. 60(3): 103279 (2023) - [c2]Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen:
DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. NLPCC (2) 2023: 690-703 - [i1]Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang:
Emulating Reader Behaviors for Fake News Detection. CoRR abs/2306.15231 (2023) - 2021
- [c1]Yinqiu Huang, Min Gao, Jia Wang, Kai Shu:
DAFD: Domain Adaptation Framework for Fake News Detection. ICONIP (1) 2021: 305-316
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