Ye Jiang - RankMe

27 papers A 1Misc 1Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection. MMM (1) Xiaoman Xu, Xiangrun Li, Taihang Wang, Ye Jiang
2025	J	`jnl`	Cross-modal augmentation for few-shot multimodal fake news detection. Eng. Appl. Artif. Intell. Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard
2025	J	`jnl`	IMFND: In-context multimodal fake news detection with large visual-language models. Knowl. Based Syst. Ye Jiang, Yimin Wang
2025	J	`jnl`	Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification. CoRR Ye Jiang, Taihang Wang, Youzheng Liu, Yimin Wang, Yuhan Xia, Yunfei Long
2025	J	`jnl`	QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval. CoRR Youzheng Liu, Jiyan Liu, Xiaoman Xu, Taihang Wang, Yimin Wang, Ye Jiang
2024	J	`jnl`	AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection. CoRR Xiaoman Xu, Xiangrun Li, Taihang Wang, Ye Jiang
2024	J	`jnl`	Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. CoRR Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard
2024	J	`jnl`	Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science. CoRR Taihang Wang, Xiaoman Xu, Yimin Wang, Ye Jiang
2024	—	`conf`	Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text. SemEval@NAACL Xiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang
2024	J	`jnl`	Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text. CoRR Xiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang
2023	J	`jnl`	A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. CoRR Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023	Misc	`conf`	Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic. RANLP Ye Jiang, Xingyi Song, Carolina Scarton, Iknoor Singh, Ahmet Aker, Kalina Bontcheva
2023	—	`conf`	Dual-grained Text-Image Olfactory Matching Model with Mutual Promotion Stages. WWW (Companion Volume) Yi Shao, Jiande Sun, Ye Jiang, Jing Li
2023	—	`conf`	Ensemble Pre-trained Multimodal Models for Image-text Retrieval in the NewsImages MediaEval 2023. MediaEval Taihang Wang, Jianxiang Tian, Xiangrun Li, Xiaoman Xu, Ye Jiang
2023	—	`conf`	Integrated Multi-stage Contextual Attention Network for Text-Image Matching. MediaEval Jiande Sun, Yi Shao, Yawen Chen, Yang Zhang, Tianlin Zhang, Xuan Zhang, Ye Jiang, Jing Li
2023	J	`jnl`	Similarity-Aware Multimodal Prompt Learning for Fake News Detection. CoRR Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
2023	J	`jnl`	Similarity-Aware Multimodal Prompt Learning for fake news detection. Inf. Sci. Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
2023	—	`conf`	Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques. SemEval@ACL Ye Jiang
2023	J	`jnl`	Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques. CoRR Ye Jiang
2023	J	`jnl`	Topic-aware hierarchical multi-attention network for text classification. Int. J. Mach. Learn. Cybern. Ye Jiang, Yimin Wang
2022	—	`conf`	Fake News Detection Based on Multi-Modal Classifier Ensemble. MAD@ICMR Yi Shao, Jiande Sun, Tianlin Zhang, Ye Jiang, Jianhua Ma, Jing Li
2022	—	`conf`	HFFD: Hybrid Fusion Based Multimodal Flood Relevance Detection. MediaEval Yi Shao, Yang Zhang, Ye Jiang, Wenbo Wan, Jing Li, Jiande Sun
2021	J	`jnl`	Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. CoRR Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva
2020	J	`jnl`	Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus. CoRR Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva
2020	A	`conf`	Comparing Topic-Aware Neural Networks for Bias Detection of News. ECAI Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard
2019	—	`conf`	Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. SemEval@NAACL-HLT Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
2017	—	`conf`	Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. NLPmJ@EMNLP Ye Jiang, Xingyi Song, Jackie Harrison, Shaun Quegan, Diana Maynard