Publications

2024

• Xiaoman Xu, Xiangrui Li, Taihang Wang, Ye Jiang. AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection, arXiv preprint arXiv:2410.15591, 2024. (Accepted at MMM2025)

• Taihang Wang, Xiaoman Xu, Yimin Wang, Ye Jiang. Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science, arXiv preprint arXiv:2409.14673, 2024.

• Jiajia Liu, Chunyu Ji, Yimin Wang, Szabolcs Soós, Ye Jiang, Robertus Erdélyi, MB Korsós, Yuming Wang. Improving the Automated Coronal Jet Identification with U-NET, The Astrophysical Journal, 972, 2024.

• Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard. Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection, arXiv preprint arXiv:2407.12880, 2024.

• Ye Jiang, Yimin Wang. Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection, arXiv preprint arXiv:2407.12879, 2024.

• Xiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang. Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024. Ranked 6 in Subtask A Multilingual, 6/59.

• Taihang Wang, Jianxiang Tian, Xiangrun Li, Xiaoman Xu and Ye Jiang. Ensemble Pre-trained Multimodal Models for Image-text Retrieval in the NewsImages MediaEval 2023, In Proceedings of the MediaEval 2023 Workshop collocated with MMM 2024, 2024. Best system runner-up, 2/10.

• Yi Shao, Yawen Chen, Yang Zhang, Tianlin Zhang, Xuan Zhang, Ye Jiang, Jing Li and Jiande Sun. Integrated Multi-stage Contextual Attention Network for Text-Image Matching, In Proceedings of the MediaEval 2023 Workshop collocated with MMM 2024, 2024.

2023

• Ye Jiang. Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques, In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 300–306, Toronto, Canada. Association for Computational Linguistics, 2023. Best system runner-up in Spanish (2/16, zero-shot) and Italian (2/17) tracks.

• Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, and Diana Maynard. Similarity-Aware Multimodal Prompt Learning for Fake News Detection, Information Sciences, Volume 647, 119446, 2023.

• Yi Shao, Jiande Sun, Ye Jiang, and Jing Li. Dual-grained Text-Image Olfactory Matching Model with Mutual Promotion Stages, In Companion Proceedings of the ACM Web Conference 2023, pp. 669-677. 2023.

• Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song. A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation, In Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media, 2023.

2022

• Yi Shao, Yang Zhang, Ye Jiang, Wenbo Wan, Jing Li, and Jiande Sun. HFFD: Hybrid Fusion Based Multimodal Flood Relevance Detection, In MediaEval, 2022.

• Ye Jiang, and Yimin Wang. Topic-aware hierarchical multi-attention network for text classification, International Journal of Machine Learning and Cybernetics: 1-13, 2022.

• Yi Shao, Jiande Sun, Tianlin Zhang, Ye Jiang, Jianhua Ma, and Jing Li. Fake News Detection Based on Multi-Modal Classifier Ensemble, In Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, pp. 78-86. 2022.

2021

• Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, and Kalina Bontcheva. Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic, arXiv preprint arXiv:2106.11702, 2021.

• Jiajia Liu, Yimin Wang, Xin Huang, Marianna B. Korsós, Ye Jiang, Yuming Wang, and Robert Erdélyi. Reliability of AI-generated magnetograms from only EUV images, Nature Astronomy 5, no. 2 : 108-110, 2021.

• Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, and Kalina Bontcheva. Classification aware neural topic model for COVID-19 disinformation categorisation, PloS one 16, no. 2: e0247086, 2021.

2020

• Ye Jiang, Yimin Wang, Xingyi Song, and Diana Maynard. Comparing topic-aware neural networks for bias detection of news, In ECAI 2020, pp. 2054-2061. IOS Press, 2020.

2019

• Yimin Wang, Jiajia Liu, Ye Jiang, and Robert Erdélyi. CME arrival time prediction using convolutional neural network, The Astrophysical Journal 881, no. 1: 15, 2019.

• Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, and Diana Maynard. Team bertha von suttner at semeval-2019 task 4: Hyperpartisan news detection using elmo sentence representation convolutional network, In Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 840-844. 2019. Best system award, 1/42

Before 2019

• Ye Jiang, Xingyi Song, Jackie Harrison, Shaun Quegan, and Diana Maynard. Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation, In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pp. 25-30. 2017.

• Hong Xu, Ye Jiang, Yimin Wang, Yewei Sun, Xueqing Li. Sentence length, sentence fragment and images affecting presentation of search result pages, Proceedings of the 2015 JIMET Conference, 2015.