| Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media H Zogan, I Razzak, X Wang, S Jameel, G Xu World Wide Web 25 (1), 281-304, 2022 | 174 | 2022 |
| Detecting community depression dynamics due to COVID-19 pandemic in Australia J Zhou, H Zogan, S Yang, S Jameel, G Xu, F Chen IEEE Transactions on Computational Social Systems 8 (4), 982-991, 2021 | 105 | 2021 |
| Jointly learning word embeddings and latent topics B Shi, W Lam, S Jameel, S Schockaert, KP Lai Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 102 | 2017 |
| Depressionnet: learning multi-modalities with user post summarization for depression detection on social media H Zogan, I Razzak, S Jameel, G Xu proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 63 | 2021 |
| Depressionnet: A novel summarization boosted deep framework for depression detection on social media H Zogan, I Razzak, S Jameel, G Xu arXiv preprint arXiv:2105.10878, 2021 | 63 | 2021 |
| An unsupervised topic segmentation model incorporating word order S Jameel, W Lam Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 48 | 2013 |
| Web query reformulation via joint modeling of latent topic dependency and term context L Bing, W Lam, TL Wong, S Jameel ACM Transactions on Information Systems (TOIS) 33 (2), 1-38, 2015 | 45 | 2015 |
| Click-through rate prediction with multi-modal hypergraphs L He, H Chen, D Wang, S Jameel, P Yu, G Xu Proceedings of the 30th ACM international conference on information …, 2021 | 42 | 2021 |
| Unsupervised learning of distributional relation vectors S Jameel, Z Bouraoui, S Schockaert Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 41 | 2018 |
| Relation induction in word embeddings revisited Z Bouraoui, S Jameel, S Schockaert Association for Computational Linguistics, 2018 | 39 | 2018 |
| Supervised topic models with word order structure for document classification and retrieval learning S Jameel, W Lam, L Bing Information Retrieval Journal 18, 283-330, 2015 | 31 | 2015 |
| Member: Max-margin based embeddings for entity retrieval S Jameel, Z Bouraoui, S Schockaert Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 29 | 2017 |
| Adaptive concept resolution for document representation and its applications in text mining L Bing, S Jiang, W Lam, Y Zhang, S Jameel Knowledge-Based Systems 74, 1-13, 2015 | 29 | 2015 |
| Entity embeddings with conceptual subspaces as a basis for plausible reasoning S Jameel, S Schockaert ECAI 2016, 1353-1361, 2016 | 26 | 2016 |
| Aligning visual prototypes with bert embeddings for few-shot learning K Yan, Z Bouraoui, P Wang, S Jameel, S Schockaert Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021 | 23 | 2021 |
| Hierarchical convolutional attention network for depression detection on social media and its impact during pandemic H Zogan, I Razzak, S Jameel, G Xu IEEE Journal of Biomedical and Health Informatics 28 (4), 1815-1823, 2023 | 22 | 2023 |
| Inductive reasoning about ontologies using conceptual spaces Z Bouraoui, S Jameel, S Schockaert Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 22 | 2017 |
| Inferring prototypes for multi-label few-shot image classification with word vector guided attention K Yan, C Zhang, J Hou, P Wang, Z Bouraoui, S Jameel, S Schockaert Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2991-2999, 2022 | 17 | 2022 |
| Adaptable closed-domain question answering using contextualized CNN-attention models and question expansion MA Kia, A Garifullina, M Kern, JON Chamberlain, S Jameel IEEE Access 10, 45080-45092, 2022 | 17 | 2022 |
| A Latent Variable Model for Learning Distributional Relation Vectors. J Camacho-Collados, LE Anke, S Jameel, S Schockaert IJCAI, 4911-4917, 2019 | 17 | 2019 |
Wai LamThe Chinese University of Hong KongVerified email at se.cuhk.edu.hk
