| 2025 | COLING | Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference. | Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li, Qiaoming Zhu |
| 2025 | DASFAA | AMR-GCC: Two-Step Cross-Document Event Factuality Identification on Data Augmentation. | Zijie Qian, Zhong Qian, Chengwei Liu, Peifeng Li |
| 2025 | ECAI | Universal Rumor Detection on Modality Consistency and External Knowledge. | Haibing Zhou, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2025 | IJCAI | Disconfounding Fake News Video Explanation with Causal Inference. | Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2024 | ECAI | Global Structural-Temporal Graph Network with Public Opinion for Online Rumor Detection. | Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2024 | ICASSP | PVCG: Prompt-Based Vision-Aware Classification and Generation for Multi-Modal Rumor Detection. | Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2024 | IJCNN | Document-level Event Factuality Identification using ChatGPT via Cross-Lingual and Syntactic Data Augmentation. | Zijie Qian, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2024 | IJCNN | Cross-Document Fact Verification Based on Evidential Graph Attention Network. | Xiaoman Xu, Zhong Qian, Chenwei Liu, Xiaoxu Zhu, Peifeng Li |
| 2024 | IJCNN | Graph Attention Network with Cross-Modal Interaction for Rumor Detection. | Haibing Zhou, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2023 | ACL | Incorporating Factuality Inference to Identify Document-level Event Factuality. | Heng Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu |
| 2023 | DASFAA | Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation. | Zhong Qian, Tiening Sun, Ting Zou, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
| 2023 | DASFAA | CoDE: Contrastive Learning Method for Document-Level Event Factuality Identification. | Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li |
| 2023 | ICASSP | Cross-Modal Adversarial Contrastive Learning for Multi-Modal Rumor Detection. | Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2023 | IJCNN | TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection. | Zhengliang Luo, Peifeng Li, Zhong Qian, Xiaoxu Zhu |
| 2023 | IJCNN | Multi-level Interaction Network for Multi-Modal Rumor Detection. | Ting Zou, Zhong Qian, Peifeng Li |
| 2022 | COLING | Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning. | Zhong Qian, Heng Zhang, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
| 2022 | ICONIP | Multi-modal Rumor Detection via Knowledge-Aware Heterogeneous Graph Convolutional Networks. | Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2022 | IJCAI | Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. | Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
| 2022 | IJCNN | End-to-End Event Factuality Identification with Cross-Lingual Information. | Jinjuan Cao, Zhong Qian, Peifeng Li |
| 2022 | IJCNN | Rumor Detection with Adversarial Training and Supervised Contrastive Learning. | Sunjun Dong, Zhong Qian, Peifeng Li |
| 2022 | IJCNN | Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition. | Xiang Li, Zhong Qian, Peifeng Li, Xiaoxu Zhu |
| 2022 | IJCNN | Employing Temporal Information and Propagation Structure to Detect Rumors. | Zhengliang Luo, Xiaoxu Zhu, Zhong Qian, Peifeng Li |
| 2022 | IJCNN | Chinese Sentence-level Event Factuality Identification with Recursive Neural Network. | Qingqing Yi, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2022 | MMM | Multi-modal Fusion Network for Rumor Detection with Texts and Images. | Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2022 | PRICAI | HS | Zihao Zhang, Chengwei Liu, Zhong Qian, Xiaoxu Zhu, Peifeng Li |
| 2022 | PRICAI | Evidence-Based Document-Level Event Factuality Identification. | Heng Zhang, Zhong Qian, Peifeng Li, Xiaoxu Zhu |
| 2022 | WWW | Rumor Detection on Social Media with Graph Adversarial Contrastive Learning. | Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu |
| 2021 | ICONIP | Early Rumor Detection with Prior Information on Social Media. | Zhengliang Luo, Tiening Sun, Xiaoxu Zhu, Zhong Qian, Peifeng Li |
| 2021 | ICONIP | Document-Level Event Factuality Identification Using Negation and Speculation Scope. | Heng Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li |
| 2020 | AAAI | Interpretable Rumor Detection in Microblogs by Attending to User Interactions. | Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang |
| 2019 | NAACL | Document-Level Event Factuality Identification via Adversarial Neural Network. | Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
| 2018 | ICONIP | Event Factuality Identification via Hybrid Neural Networks. | Zhong Qian, Peifeng Li, Guodong Zhou, Qiaoming Zhu |
| 2018 | IJCAI | Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. | Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu |
| 2016 | EMNLP | Speculation and Negation Scope Detection via Convolutional Neural Networks. | Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, Wei Luo |