| Detecting rumors from microblogs with recurrent neural networks J Ma, W Gao, P Mitra, S Kwon, BJ Jansen, KF Wong, M Cha AAAI Press, 2016 | 1281 | 2016 |
| Detect rumors using time series of social context information on microblogging websites J Ma, W Gao, Z Wei, Y Lu, KF Wong Proceedings of the 24th ACM international on conference on information and …, 2015 | 716 | 2015 |
| Rumor detection on twitter with tree-structured recursive neural networks J Ma, W Gao, KF Wong Association for Computational Linguistics, 2018 | 612 | 2018 |
| Detect rumors in microblog posts using propagation structure via kernel learning J Ma, W Gao, KF Wong Association for Computational Linguistics, 2017 | 609 | 2017 |
| Detect rumor and stance jointly by neural multi-task learning J Ma, W Gao, KF Wong Companion proceedings of the the web conference 2018, 585-593, 2018 | 239 | 2018 |
| Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning J Ma, W Gao, KF Wong WWW2019, 2019 | 221 | 2019 |
| Wizardcoder: Empowering code large language models with evol-instruct Z Luo, C Xu, P Zhao, Q Sun, X Geng, W Hu, C Tao, J Ma, Q Lin, D Jiang arXiv preprint arXiv:2306.08568, 2023 | 175 | 2023 |
| Sentence-level evidence embedding for claim verification with hierarchical attention networks J Ma, W Gao, S Joty, KF Wong Association for Computational Linguistics, 2019 | 94 | 2019 |
| From retweet to believability: Utilizing trust to identify rumor spreaders on twitter B Rath, W Gao, J Ma, J Srivastava Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 83 | 2017 |
| An attention-based rumor detection model with tree-structured recursive neural networks J Ma, W Gao, S Joty, KF Wong ACM Transactions on Intelligent Systems and Technology (TIST) 11 (4), 1-28, 2020 | 54 | 2020 |
| Rumor detection on twitter with claim-guided hierarchical graph attention networks H Lin, J Ma, M Cheng, Z Yang, L Chen, G Chen arXiv preprint arXiv:2110.04522, 2021 | 52 | 2021 |
| Debunking rumors on twitter with tree transformer J Ma, W Gao ACL, 2020 | 46 | 2020 |
| Discovering attractive segments in the user-generated video streams Z Wang, J Zhou, J Ma, J Li, J Ai, Y Yang Information Processing & Management 57 (1), 102130, 2020 | 41 | 2020 |
| Detect rumors in microblog posts for low-resource domains via adversarial contrastive learning H Lin, J Ma, L Chen, Z Yang, M Cheng, G Chen arXiv preprint arXiv:2204.08143, 2022 | 30 | 2022 |
| Cross-lingual covid-19 fake news detection J Du, Y Dou, C Xia, L Cui, J Ma, SY Philip 2021 International Conference on Data Mining Workshops (ICDMW), 859-862, 2021 | 30 | 2021 |
| Context-aware attentive multilevel feature fusion for named entity recognition Z Yang, J Ma, H Chen, J Zhang, Y Chang IEEE transactions on neural networks and learning systems, 2022 | 29 | 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 | 24 | 2022 |
| Improving rumor detection by promoting information campaigns with transformer-based generative adversarial learning J Ma, J Li, W Gao, Y Yang, KF Wong IEEE Transactions on Knowledge and Data Engineering, 2021 | 23 | 2021 |
| Utilizing computational trust to identify rumor spreaders on Twitter B Rath, W Gao, J Ma, J Srivastava Social Network Analysis and Mining 8 (1), 64, 2018 | 23 | 2018 |
| AnswerFact: Fact checking in product question answering W Zhang, Y Deng, J Ma, W Lam Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 22 | 2020 |
Wei GaoSingapore Management Universitysmu.edu.sg의 이메일 확인됨
