| Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic OT Aduragba, J Yu, AI Cristea, L Shi AMIA Annual Symposium Proceedings 2021, 187, 2021 | 11 | 2021 |
| Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification Z Sun, A Harit, AI Cristea, J Yu, L Shi, N Al Moubayed 2022 International Joint Conference on Neural Networks (IJCNN), 1-6, 2022 | 10 | 2022 |
| Exploring bayesian deep learning for urgent instructor intervention need in mooc forums J Yu, L Alrajhi, A Harit, Z Sun, AI Cristea, L Shi Intelligent Tutoring Systems: 17th International Conference, ITS 2021 …, 2021 | 10 | 2021 |
| Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with imbalanced medication tweets OT Aduragba, J Yu, G Senthilnathan, A Crsitea Proceedings of the Fifth Social Media Mining for Health Applications …, 2020 | 8 | 2020 |
| INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, N Al Moubayed 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 7 | 2022 |
| A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data Z Sun, A Harit, J Yu, AI Cristea, N Al Moubayed 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 7 | 2021 |
| Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course J Yu, OT Aduragba, Z Sun, S Black, C Stewart, L Shi, A Cristea 2020 15th International Conference on Computer Science & Education (ICCSE …, 2020 | 6 | 2020 |
| Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance OT Aduragba, J Yu, A Cristea, Y Long Proceedings of the ACM Web Conference 2023, 3928-3936, 2023 | 3 | 2023 |
| Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, N Al Moubayed AI Open 4, 19-32, 2023 | 3 | 2023 |
| Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention Z Sun, A Harit, AI Cristea, J Yu, N Al Moubayed, L Shi 2022 IEEE International Conference on Big Data (Big Data), 5352-5360, 2022 | 3 | 2022 |
| Efficient Uncertainty Quantification for Multilabel Text Classification J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, N Al Moubayed 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Intervention generalization: A view from factor graph models G Bravo-Hermsdorff, D Watson, J Yu, J Zeitler, R Silva Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Refined feature fusion for in-field high-density and multi-scale rice panicle counting in UAV images Y Chen, R Xin, H Jiang, Y Liu, X Zhang, J Yu Computers and Electronics in Agriculture 211, 108032, 2023 | 2 | 2023 |
| Adaptive Distance Message Passing From the Multi-Relational Edge View Z Sun, AI Cristea, P Lio, J Yu | 2 | 2023 |
| Natural Language Processing with Deep Latent Variable Models: Methods and Applications J YU Durham University, 2023 | 1 | 2023 |
| Incorporating Emotions into Health Mention Classification Task on Social Media OT Aduragba, J Yu, AI Cristea 2023 IEEE International Conference on Big Data (BigData), 4834-4842, 2023 | | 2023 |
| Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic OT Aduragba, J Yu, AI Cristea 2023 IEEE International Conference on Big Data (BigData), 5704-5713, 2023 | | 2023 |
| Multi-task Learning for Personal Health Mention Detection on Social Media OT Aduragba, J Yu, AI Cristea arXiv preprint arXiv:2212.05147, 2022 | | 2022 |
