A two-step approach for event factuality identification. - Zhong Qian 001; Peifeng Li; Qiaoming Zhu (IALP, 2015)

Speculation and Negation Scope Detection via Convolutional Neural Networks. - Zhong Qian 001; Peifeng Li; Qiaoming Zhu; Guodong Zhou; Zhunchen Luo; Wei Luo (EMNLP, 2016)

Event Factuality Identification via Hybrid Neural Networks. - Zhong Qian 001; Peifeng Li; Guodong Zhou; Qiaoming Zhu (ICONIP (5), 2018)

Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. - Zhong Qian 001; Peifeng Li; Yue Zhang 004; Guodong Zhou; Qiaoming Zhu (IJCAI, 2018)

Document-Level Event Factuality Identification via Adversarial Neural Network. - Zhong Qian 001; Peifeng Li; Qiaoming Zhu; Guodong Zhou (NAACL-HLT (1), 2019)

Interpretable Rumor Detection in Microblogs by Attending to User Interactions. - Ling Min Serena Khoo; Hai Leong Chieu; Zhong Qian 001; Jing Jiang 001 (AAAI, 2020)

End-to-End Event Factuality Identification via Hybrid Neural Networks. - Jinjuan Cao; Zhong Qian 001; Peifeng Li; Xiaoxu Zhu; Qiaoming Zhu (CCKS, 2020)

Employing Multi-cues to Identify Event Factuality. - Liumin Zhang; Peifeng Li; Zhong Qian 001; Xiaoxu Zhu; Qiaoming Zhu (CCKS, 2020)

An End-to-End Approach for Document-level Event Factuality Identification in Chinese. - Xiaojia Li; Yun Zhang; Zhong Qian 001 (IALP, 2020)

Rumor Detection on Hierarchical Attention Network with User and Sentiment Information. - Sujun Dong; Zhong Qian 001; Peifeng Li; Xiaoxu Zhu; Qiaoming Zhu (NLPCC (2), 2020)

Employing Adversarial Training to Detect Rumors on Social Media. - Xiaojia Li; Zhong Qian 001 (IALP, 2021)

Early Rumor Detection with Prior Information on Social Media. - Zhengliang Luo; Tiening Sun; Xiaoxu Zhu; Zhong Qian 001; Peifeng Li (ICONIP (5), 2021)

Document-Level Event Factuality Identification Using Negation and Speculation Scope. - Heng Zhang; Zhong Qian 001; Xiaoxu Zhu; Peifeng Li (ICONIP (1), 2021)

Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning. - Zhong Qian 001; Heng Zhang; Peifeng Li; Qiaoming Zhu; Guodong Zhou (COLING, 2022)

Multi-modal Rumor Detection via Knowledge-Aware Heterogeneous Graph Convolutional Networks. - Boqun Li; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ICONIP (2), 2022)

Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. - Zhong Qian 001; Peifeng Li; Qiaoming Zhu; Guodong Zhou (IJCAI, 2022)

End-to-End Event Factuality Identification with Cross-Lingual Information. - Jinjuan Cao; Zhong Qian 001; Peifeng Li (IJCNN, 2022)

Rumor Detection with Adversarial Training and Supervised Contrastive Learning. - Sunjun Dong; Zhong Qian 001; Peifeng Li (IJCNN, 2022)

Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition. - Xiang Li; Zhong Qian 001; Peifeng Li; Xiaoxu Zhu (IJCNN, 2022)

Employing Temporal Information and Propagation Structure to Detect Rumors. - Zhengliang Luo; Xiaoxu Zhu; Zhong Qian 001; Peifeng Li (IJCNN, 2022)

Chinese Sentence-level Event Factuality Identification with Recursive Neural Network. - Qingqing Yi; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (IJCNN, 2022)

Multi-modal Fusion Network for Rumor Detection with Texts and Images. - Boqun Li; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (MMM (1), 2022)

HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-Level Event Factuality Identification. - Zihao Zhang; Chengwei Liu; Zhong Qian 001; Xiaoxu Zhu; Peifeng Li (PRICAI (2), 2022)

Evidence-Based Document-Level Event Factuality Identification. - Heng Zhang; Zhong Qian 001; Peifeng Li; Xiaoxu Zhu (PRICAI (2), 2022)

Rumor Detection on Social Media with Graph Adversarial Contrastive Learning. - Tiening Sun; Zhong Qian 001; Sujun Dong; Peifeng Li; Qiaoming Zhu (WWW, 2022)

Incorporating Factuality Inference to Identify Document-level Event Factuality. - Heng Zhang; Peifeng Li; Zhong Qian 001; Xiaoxu Zhu (ACL (Findings), 2023)

Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation. - Zhong Qian 001; Tiening Sun; Ting Zou; Peifeng Li; Qiaoming Zhu; Guodong Zhou (DASFAA (3), 2023)

CoDE: Contrastive Learning Method for Document-Level Event Factuality Identification. - Zihao Zhang; Zhong Qian 001; Xiaoxu Zhu; Peifeng Li (DASFAA (3), 2023)

Cross-Modal Adversarial Contrastive Learning for Multi-Modal Rumor Detection. - Ting Zou; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ICASSP, 2023)

Multi-modal Rumor Detection on Modality Alignment and Multi-perspective Structures. - Boqun Li; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ICIC (4), 2023)

TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection. - Zhengliang Luo; Peifeng Li; Zhong Qian 001; Xiaoxu Zhu (IJCNN, 2023)

Multi-level Interaction Network for Multi-Modal Rumor Detection. - Ting Zou; Zhong Qian 001; Peifeng Li (IJCNN, 2023)

Graph Interactive Network with Adaptive Gradient for Multi-Modal Rumor Detection. - Tiening Sun; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ICMR, 2023)

Global Structural-Temporal Graph Network with Public Opinion for Online Rumor Detection. - Tiening Sun; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ECAI, 2024)

PVCG: Prompt-Based Vision-Aware Classification and Generation for Multi-Modal Rumor Detection. - Ting Zou; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ICASSP, 2024)

COVID-19 Rumor Detection Based on Heterogeneous Graph Convolutional Network with Cross-Domain Contrastive Learning. - Siyi Tang; Zhong Qian 001; Chengwei Liu; Peifeng Li; Qiaoming Zhu (ICIC (LNAI 4), 2024)

Document-level Event Factuality Identification using ChatGPT via Cross-Lingual and Syntactic Data Augmentation. - Zijie Qian; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (IJCNN, 2024)

Cross-Document Fact Verification Based on Evidential Graph Attention Network. - Xiaoman Xu; Zhong Qian 001; Chenwei Liu; Xiaoxu Zhu; Peifeng Li (IJCNN, 2024)

Graph Attention Network with Cross-Modal Interaction for Rumor Detection. - Haibing Zhou; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (IJCNN, 2024)

Official-NV: A News Video Dataset for Multimodal Fake News Detection. - Yihao Wang; Lizhi Chen; Zhong Qian 001; Peifeng Li (CoRR, 2024)

Speculation and negation identification via unified Machine Reading Comprehension frameworks with lexical and syntactic data augmentation. - Zhong Qian 001; Ting Zou; Zihao Zhang; Peifeng Li; Qiaoming Zhu; Guodong Zhou (Eng. Appl. Artif. Intell., 2024)

Document-Level Event Factuality Identification via Reinforced Semantic Learning Network. - Zhong Qian 001; Peifeng Li; Qiao-Ming Zhu; Guo-Dong Zhou (J. Comput. Sci. Technol., 2024)

Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference. - Zihao Zhang; Zhong Qian 001; Xiaoxu Zhu; Peifeng Li; Qiaoming Zhu (COLING, 2025)

Evidence-Augmented Generative Explanation for Health Rumor Detection. - Siyi Tang; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (ICIC (23), 2025)

FMNV: A Dataset of Media-Published News Videos for Fake News Detection. - Yihao Wang; Zhong Qian 001; Peifeng Li (ICIC (5), 2025)

Disconfounding Fake News Video Explanation with Causal Inference. - Lizhi Chen; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (IJCAI, 2025)

A unified framework for multi-modal rumor detection via multi-level dynamic interaction with evolving stances. - Tiening Sun; Chengwei Liu; Lizhi Chen; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (Inf. Process. Manag., 2025)

MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks. - Zhong Qian 001; Peifeng Li; Qiaoming Zhu; Guodong Zhou (J. Artif. Intell. Res., 2025)

Multimodal Fake News Video Explanation Generation. - Lizhi Chen; Zhong Qian 001; Peifeng Li; Qiaoming Zhu (CoRR, 2025)

A multi-view heterogeneous and extractive graph attention network for evidential document-level event factuality identification. - Zhong Qian 001; Peifeng Li; Qiaoming Zhu; Guodong Zhou (Frontiers Comput. Sci., 2025)