| Towards fine-grained reasoning for fake news detection Y Jin, X Wang, R Yang, Y Sun, W Wang, H Liao, X Xie Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5746-5754, 2022 | 55 | 2022 |
| Reinforcement subgraph reasoning for fake news detection R Yang, X Wang, Y Jin, C Li, J Lian, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 42 | 2022 |
| A weakly supervised propagation model for rumor verification and stance detection with multiple instance learning R Yang, J Ma, H Lin, W Gao Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 25 | 2022 |
| GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse H Lin, Z Luo, B Wang, R Yang, J Ma arXiv preprint arXiv:2401.01523, 2024 | 4 | 2024 |
| WSDMS: debunk fake news via weakly supervised detection of misinforming sentences with contextualized social wisdom R Yang, W Gao, J Ma, H Lin, Z Yang arXiv preprint arXiv:2310.16579, 2023 | 2 | 2023 |
| A unified contrastive transfer framework with propagation structure for boosting low-resource rumor detection H Lin, J Ma, R Yang, Z Yang, M Cheng arXiv preprint arXiv:2304.01492, 2023 | 1 | 2023 |
| CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy Z Yang, J Ma, K Yang, H Lin, H Chen, R Yang, Y Chang Information Processing & Management 61 (3), 103657, 2024 | | 2024 |
| Towards low-resource rumor detection: Unified contrastive transfer with propagation structure H Lin, J Ma, R Yang, Z Yang, M Cheng Neurocomputing, 127438, 2024 | | 2024 |
| Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models H Lin, Z Luo, W Gao, J Ma, B Wang, R Yang arXiv preprint arXiv:2401.13298, 2024 | | 2024 |
Jing MaHong Kong Bapist UniversityVerified email at comp.hkbu.edu.hk
