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2020 – today
- 2025
[j3]Tiening Sun, Chengwei Liu, Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu:
A unified framework for multi-modal rumor detection via multi-level dynamic interaction with evolving stances. Inf. Process. Manag. 62(3): 104066 (2025)- [c40]Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li, Qiaoming Zhu:
Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference. COLING 2025: 2038-2048 - 2024
- [j2]Zhong Qian
, Ting Zou, Zihao Zhang, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Speculation and negation identification via unified Machine Reading Comprehension frameworks with lexical and syntactic data augmentation. Eng. Appl. Artif. Intell. 131: 107806 (2024) - [j1]Zhong Qian, Peifeng Li, Qiao-Ming Zhu, Guo-Dong Zhou:
Document-Level Event Factuality Identification via Reinforced Semantic Learning Network. J. Comput. Sci. Technol. 39(6): 1248-1268 (2024) - [c39]Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Global Structural-Temporal Graph Network with Public Opinion for Online Rumor Detection. ECAI 2024: 3725-3732 - [c38]Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu:
PVCG: Prompt-Based Vision-Aware Classification and Generation for Multi-Modal Rumor Detection. ICASSP 2024: 11036-11040 - [c37]Siyi Tang, Zhong Qian, Chengwei Liu, Peifeng Li, Qiaoming Zhu:
COVID-19 Rumor Detection Based on Heterogeneous Graph Convolutional Network with Cross-Domain Contrastive Learning. ICIC (LNAI 4) 2024: 221-232 - [c36]Zijie Qian, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Document-level Event Factuality Identification using ChatGPT via Cross-Lingual and Syntactic Data Augmentation. IJCNN 2024: 1-8 - [c35]Xiaoman Xu, Zhong Qian, Chenwei Liu, Xiaoxu Zhu, Peifeng Li:
Cross-Document Fact Verification Based on Evidential Graph Attention Network. IJCNN 2024: 1-8 - [c34]Haibing Zhou, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Graph Attention Network with Cross-Modal Interaction for Rumor Detection. IJCNN 2024: 1-8 - [i2]Yihao Wang, Lizhi Chen, Zhong Qian, Peifeng Li:
Official-NV: A News Video Dataset for Multimodal Fake News Detection. CoRR abs/2407.19493 (2024) - 2023
- [c33]Heng Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu:
Incorporating Factuality Inference to Identify Document-level Event Factuality. ACL (Findings) 2023: 13990-14002 - [c32]Zhong Qian, Tiening Sun, Ting Zou, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation. DASFAA (3) 2023: 487-496 - [c31]Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li:
CoDE: Contrastive Learning Method for Document-Level Event Factuality Identification. DASFAA (3) 2023: 497-512 - [c30]Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Cross-Modal Adversarial Contrastive Learning for Multi-Modal Rumor Detection. ICASSP 2023: 1-5 - [c29]Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Multi-modal Rumor Detection on Modality Alignment and Multi-perspective Structures. ICIC (4) 2023: 472-483 - [c28]Zhengliang Luo, Peifeng Li, Zhong Qian, Xiaoxu Zhu:
TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection. IJCNN 2023: 1-8 - [c27]Ting Zou, Zhong Qian, Peifeng Li:
Multi-level Interaction Network for Multi-Modal Rumor Detection. IJCNN 2023: 1-8 - [c26]Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Graph Interactive Network with Adaptive Gradient for Multi-Modal Rumor Detection. ICMR 2023: 316-324 - 2022
- [c25]Zhong Qian, Heng Zhang, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning. COLING 2022: 2622-2632 - [c24]Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Multi-modal Rumor Detection via Knowledge-Aware Heterogeneous Graph Convolutional Networks. ICONIP (2) 2022: 243-254 - [c23]Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. IJCAI 2022: 4338-4345 - [c22]Jinjuan Cao, Zhong Qian, Peifeng Li:
End-to-End Event Factuality Identification with Cross-Lingual Information. IJCNN 2022: 1-8 - [c21]Sunjun Dong, Zhong Qian, Peifeng Li:
Rumor Detection with Adversarial Training and Supervised Contrastive Learning. IJCNN 2022: 1-8 - [c20]Xiang Li, Zhong Qian, Peifeng Li, Xiaoxu Zhu:
Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition. IJCNN 2022: 1-8 - [c19]Zhengliang Luo, Xiaoxu Zhu, Zhong Qian, Peifeng Li:
Employing Temporal Information and Propagation Structure to Detect Rumors. IJCNN 2022: 1-8 - [c18]Qingqing Yi, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Chinese Sentence-level Event Factuality Identification with Recursive Neural Network. IJCNN 2022: 1-8 - [c17]Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Multi-modal Fusion Network for Rumor Detection with Texts and Images. MMM (1) 2022: 15-27 - [c16]Heng Zhang, Zhong Qian, Peifeng Li, Xiaoxu Zhu:
Evidence-Based Document-Level Event Factuality Identification. PRICAI (2) 2022: 240-254 - [c15]Zihao Zhang, Chengwei Liu, Zhong Qian, Xiaoxu Zhu, Peifeng Li:
HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-Level Event Factuality Identification. PRICAI (2) 2022: 309-320 - [c14]Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu:
Rumor Detection on Social Media with Graph Adversarial Contrastive Learning. WWW 2022: 2789-2797 - 2021
- [c13]Xiaojia Li, Zhong Qian:
Employing Adversarial Training to Detect Rumors on Social Media. IALP 2021: 84-89 - [c12]Zhengliang Luo, Tiening Sun, Xiaoxu Zhu, Zhong Qian, Peifeng Li:
Early Rumor Detection with Prior Information on Social Media. ICONIP (5) 2021: 282-289 - [c11]Heng Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li:
Document-Level Event Factuality Identification Using Negation and Speculation Scope. ICONIP (1) 2021: 414-425 - 2020
- [c10]Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang:
Interpretable Rumor Detection in Microblogs by Attending to User Interactions. AAAI 2020: 8783-8790 - [c9]Liumin Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu, Qiaoming Zhu:
Employing Multi-cues to Identify Event Factuality. CCKS 2020: 185-195 - [c8]Jinjuan Cao, Zhong Qian, Peifeng Li, Xiaoxu Zhu, Qiaoming Zhu:
End-to-End Event Factuality Identification via Hybrid Neural Networks. CCKS 2020: 196-208 - [c7]Xiaojia Li, Yun Zhang, Zhong Qian:
An End-to-End Approach for Document-level Event Factuality Identification in Chinese. IALP 2020: 215-220 - [c6]Sujun Dong, Zhong Qian, Peifeng Li, Xiaoxu Zhu, Qiaoming Zhu:
Rumor Detection on Hierarchical Attention Network with User and Sentiment Information. NLPCC (2) 2020: 366-377 - [i1]Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang:
Interpretable Rumor Detection in Microblogs by Attending to User Interactions. CoRR abs/2001.10667 (2020)
2010 – 2019
- 2019
- [c5]Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-Level Event Factuality Identification via Adversarial Neural Network. NAACL-HLT (1) 2019: 2799-2809 - 2018
- [c4]Zhong Qian, Peifeng Li, Guodong Zhou, Qiaoming Zhu:
Event Factuality Identification via Hybrid Neural Networks. ICONIP (5) 2018: 335-347 - [c3]Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu:
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. IJCAI 2018: 4293-4300 - 2016
- [c2]Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, Wei Luo:
Speculation and Negation Scope Detection via Convolutional Neural Networks. EMNLP 2016: 815-825 - 2015
- [c1]Zhong Qian, Peifeng Li, Qiaoming Zhu:
A two-step approach for event factuality identification. IALP 2015: 103-106
Coauthor Index
aka: Qiao-Ming Zhu
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