Zhong Qian

According to our database, Zhong Qian authored at least 33 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Graph Interactive Network with Adaptive Gradient for Multi-Modal Rumor Detection.

Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Multi-level Interaction Network for Multi-Modal Rumor Detection.

Ting Zou, Zhong Qian, Peifeng Li

Proceedings of the International Joint Conference on Neural Networks, 2023

TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection.

Zhengliang Luo, Peifeng Li, Zhong Qian, Xiaoxu Zhu

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-modal Rumor Detection on Modality Alignment and Multi-perspective Structures.

Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Cross-Modal Adversarial Contrastive Learning for Multi-Modal Rumor Detection.

Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the IEEE International Conference on Acoustics, 2023

CoDE: Contrastive Learning Method for Document-Level Event Factuality Identification.

Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li

Proceedings of the Database Systems for Advanced Applications, 2023

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

Proceedings of the Database Systems for Advanced Applications, 2023

Incorporating Factuality Inference to Identify Document-level Event Factuality.

Heng Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Rumor Detection on Social Media with Graph Adversarial Contrastive Learning.

Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Evidence-Based Document-Level Event Factuality Identification.

Heng Zhang, Zhong Qian, Peifeng Li, Xiaoxu Zhu

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

HS²N: Heterogeneous Semantics-Syntax Fusion Network for Document-Level Event Factuality Identification.

Zihao Zhang, Chengwei Liu, Zhong Qian, Xiaoxu Zhu, Peifeng Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Multi-modal Fusion Network for Rumor Detection with Texts and Images.

Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Chinese Sentence-level Event Factuality Identification with Recursive Neural Network.

Qingqing Yi, Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the International Joint Conference on Neural Networks, 2022

Employing Temporal Information and Propagation Structure to Detect Rumors.

Zhengliang Luo, Xiaoxu Zhu, Zhong Qian, Peifeng Li

Proceedings of the International Joint Conference on Neural Networks, 2022

Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition.

Xiang Li, Zhong Qian, Peifeng Li, Xiaoxu Zhu

Proceedings of the International Joint Conference on Neural Networks, 2022

Rumor Detection with Adversarial Training and Supervised Contrastive Learning.

Sunjun Dong, Zhong Qian, Peifeng Li

Proceedings of the International Joint Conference on Neural Networks, 2022

End-to-End Event Factuality Identification with Cross-Lingual Information.

Jinjuan Cao, Zhong Qian, Peifeng Li

Proceedings of the International Joint Conference on Neural Networks, 2022

Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks.

Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-modal Rumor Detection via Knowledge-Aware Heterogeneous Graph Convolutional Networks.

Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning.

Zhong Qian, Heng Zhang, Peifeng Li, Qiaoming Zhu, Guodong Zhou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Document-Level Event Factuality Identification Using Negation and Speculation Scope.

Heng Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Early Rumor Detection with Prior Information on Social Media.

Zhengliang Luo, Tiening Sun, Xiaoxu Zhu, Zhong Qian, Peifeng Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Employing Adversarial Training to Detect Rumors on Social Media.

Xiaojia Li, Zhong Qian

Proceedings of the International Conference on Asian Language Processing, 2021

2020

Rumor Detection on Hierarchical Attention Network with User and Sentiment Information.

Sujun Dong, Zhong Qian, Peifeng Li, Xiaoxu Zhu, Qiaoming Zhu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

An End-to-End Approach for Document-level Event Factuality Identification in Chinese.

Xiaojia Li, Yun Zhang, Zhong Qian

Proceedings of the International Conference on Asian Language Processing, 2020

Employing Multi-cues to Identify Event Factuality.

Liumin Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu, Qiaoming Zhu

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

End-to-End Event Factuality Identification via Hybrid Neural Networks.

Jinjuan Cao, Zhong Qian, Peifeng Li, Xiaoxu Zhu, Qiaoming Zhu

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

Interpretable Rumor Detection in Microblogs by Attending to User Interactions.

Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Document-Level Event Factuality Identification via Adversarial Neural Network.

Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification.

Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Event Factuality Identification via Hybrid Neural Networks.

Zhong Qian, Peifeng Li, Guodong Zhou, Qiaoming Zhu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2016

Speculation and Negation Scope Detection via Convolutional Neural Networks.

Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, Wei Luo

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

A two-step approach for event factuality identification.

Zhong Qian, Peifeng Li, Qiaoming Zhu

Proceedings of the 2015 International Conference on Asian Language Processing, 2015