| Is MOOC learning different for dropouts? A visually-driven, multi-granularity explanatory ML approach A Alamri, Z Sun, AI Cristea, G Senthilnathan, L Shi, C Stewart Intelligent Tutoring Systems: 16th International Conference, ITS 2020 …, 2020 | 21 | 2020 |
| MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns A Alamri, Z Sun, AI Cristea, C Stewart, FD Pereira Intelligent Tutoring Systems: 17th International Conference, ITS 2021 …, 2021 | 13 | 2021 |
| A brief survey of deep learning approaches for learning analytics on MOOCs Z Sun, A Harit, J Yu, AI Cristea, L Shi Intelligent Tutoring Systems: 17th International Conference, ITS 2021 …, 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 |
| 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 |
| 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 |
| Adaptive Distance Message Passing From the Multi-Relational Edge View Z Sun, AI Cristea, P Lio, J Yu TinyPapers@ICLR2023, 2023 | 2 | 2023 |
| Money: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model Z Sun, A Harit, AI Cristea, J Wang, P Lio AI Open 4, 165-174, 2023 | 2 | 2023 |
| Can Text Encoders be Deceived by Length Attack? C Xiao, Z Ye, GT Hudson, Z Sun, P Blunsom, N Al Moubayed TinyPapers@ICLR2023, 2023 | 1 | 2023 |
| Robustness, Heterogeneity and Structure Capturing for Graph Representation Learning and its Application Z Sun Durham University, 2024 | | 2024 |
| A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning Z Sun, A Harit, AI Cristea, J Wang, P Lio 2023 IEEE International Conference on Big Data (BigData), 5930-5939, 2023 | | 2023 |
| Deep Latent Variable Models for Semi-supervised Paraphrase Generation. J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, N Al Moubayed CoRR, 2023 | | 2023 |
| Current Interest Enhanced Graph Neural Networks for Session-based Recommendation YH Yujie Lu, Yayu Kong, Zhongtian Sun, Ze Zhang, Tingwei Chen IEEE International Conference on Automation and Computing, 2021 | | 2021 |
Alexandra I CristeaProfessor of Computer Science, University of Durham, UKE-mail confirmado em durham.ac.uk
