Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. - Ye Jiang 001; Xingyi Song; Jackie Harrison; Shaun Quegan; Diana Maynard (NLPmJ@EMNLP, 2017)

Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. - Ye Jiang 001; Johann Petrak; Xingyi Song; Kalina Bontcheva; Diana Maynard (SemEval@NAACL-HLT, 2019)

Comparing Topic-Aware Neural Networks for Bias Detection of News. - Ye Jiang 001; Yimin Wang 002; Xingyi Song; Diana Maynard (ECAI, 2020)

Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus. - Xingyi Song; Johann Petrak; Ye Jiang 001; Iknoor Singh; Diana Maynard; Kalina Bontcheva (CoRR, 2020)

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. - Ye Jiang 001; Xingyi Song; Carolina Scarton; Ahmet Aker; Kalina Bontcheva (CoRR, 2021)

HFFD: Hybrid Fusion Based Multimodal Flood Relevance Detection. - Yi Shao; Yang Zhang; Ye Jiang 001; Wenbo Wan; Jing Li 046; Jiande Sun 001 (MediaEval, 2022)

Fake News Detection Based on Multi-Modal Classifier Ensemble. - Yi Shao; Jiande Sun 001; Tianlin Zhang; Ye Jiang 001; Jianhua Ma; Jing Li 046 (MAD@ICMR, 2022)

Integrated Multi-stage Contextual Attention Network for Text-Image Matching. - Jiande Sun 001; Yi Shao; Yawen Chen; Yang Zhang; Tianlin Zhang; Xuan Zhang; Ye Jiang 001; Jing Li 046 (MediaEval, 2023)

Ensemble Pre-trained Multimodal Models for Image-text Retrieval in the NewsImages MediaEval 2023. - Taihang Wang; Jianxiang Tian; Xiangrun Li; Xiaoman Xu; Ye Jiang 001 (MediaEval, 2023)

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic. - Ye Jiang 001; Xingyi Song; Carolina Scarton; Iknoor Singh; Ahmet Aker; Kalina Bontcheva (RANLP, 2023)

Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques. - Ye Jiang 001 (SemEval@ACL, 2023)

Dual-grained Text-Image Olfactory Matching Model with Mutual Promotion Stages. - Yi Shao; Jiande Sun 001; Ye Jiang 001; Jing Li 046 (WWW (Companion Volume), 2023)

A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. - Yida Mu; Ye Jiang 001; Freddy Heppell; Iknoor Singh; Carolina Scarton; Kalina Bontcheva; Xingyi Song (CoRR, 2023)

Topic-aware hierarchical multi-attention network for text classification. - Ye Jiang 001; Yimin Wang 002 (Int. J. Mach. Learn. Cybern., 2023)

Similarity-Aware Multimodal Prompt Learning for fake news detection. - Ye Jiang 001; Xiaomin Yu; Yimin Wang 002; Xiaoman Xu; Xingyi Song; Diana Maynard (Inf. Sci., 2023)

Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text. - Xiaoman Xu; Xiangrun Li; Taihang Wang; Jianxiang Tian; Ye Jiang 001 (SemEval@NAACL, 2024)

Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science. - Taihang Wang; Xiaoman Xu; Yimin Wang 002; Ye Jiang 001 (CoRR, 2024)

AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection. - Xiaoman Xu; Xiangrun Li; Taihang Wang; Ye Jiang 001 (MMM (1), 2025)

Cross-modal augmentation for few-shot multimodal fake news detection. - Ye Jiang 001; Taihang Wang; Xiaoman Xu; Yimin Wang 002; Xingyi Song; Diana Maynard (Eng. Appl. Artif. Intell., 2025)

IMFND: In-context multimodal fake news detection with large visual-language models. - Ye Jiang 001; Yimin Wang 002 (Knowl. Based Syst., 2025)

QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval. - Youzheng Liu; Jiyan Liu; Xiaoman Xu; Taihang Wang; Yimin Wang 002; Ye Jiang 001 (CoRR, 2025)