
1. 国家自然科学基金青年项目,基于体系结构的SOA软件可靠性分析技术研究,2015/01-2017/12,26万元,结题,负责人
2. 天津市自然科学基金青年项目,基于体系结构的构件软件可靠性分析技术研究,2015/04-2017/5,6万元,结题,负责人 3.国家自然科学基金联合基金项目,基于社交媒体的虚假新闻检测关键技术研究,2020/01-2022/12,70万元,在研,第二参与人

1.Jiaqi W.,Chen C.*, Chunyan H., Hanwen X., Xiaojie Y. Contextual Adversarial Triggers with Masked Language Models.ACSAC(CCF-B Conference).2025. 2. Mei G.,Chen C.*, Chunyan H., Yike W., Xiaojie Y. FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media.ACL(CCF-A Conference)2025. 3. Jiaqi W.,Chen C.*, Chunyan H., Xiaojie Y. SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention.EMNLP(CCF-B Conference).2025. 4.Mei G.,Chen C.*, Chunyan H., Yike W., Xiaojie Y.. SWAM: adaptive Sliding indow and memory-augmented Attention Model for Rumor etection.EMNLP(CCF-B Conference).2025. 5. Jiahao S.,Chen C., Chunyan H., Yike W., Xiaojie Y. Multimodal Taylor Series Network for Misinformation Detection.WWW(CCF-A Conference)2025. 6. Jiayi D.,Chen C.*,Chunyan H., Xiaojie Y. InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning.COLING(CCF-B Conference)2025. 7. Jing M.,Chen C.*, Chunyan H., Xiaojie Y.. KAPALM: Knowledge grAPh enhAnced Language Models for Fake News Detection.EMNLP(CCF-B Conference)2023. 8.Chen C.*, Bo H., Jing Y., Chunyan H., Xiaojie Y.. Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning.CIKM(CCF-B Conference)2023. 9. Jing Y.,Chen C.*, Chunyan H., Xiaojie Y.. FSKD: Detecting Fake News with Few-Shot Knowledge Distillation.ADMA(CCF-C Conference)2023. 10. Jing Y.,Chen C.*, Chunyan H., Xiaojie Y.. CNGT: Co-attention Networks with Graph Transformer for Fact Verification.ADMA(CCF-C Conference)2023. 11. Yaqian D., Kefei T.,Chen C.*, Chunyan H., Xiaojie Y.. KAN: Knowledge-aware Attention Network for Fake News Detection.AAAI(CCF-A Conference)2021. 12. Kefei T.,Chen C.*,Chunyan H., Jing Y., Jundong L., Xiaojie Y.. Rumor2vec: A Rumor Detection Framework with Joint Text and Propagation Structure Representation Learning.Information Sciences(CCF-B Journal).2021
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