| Adverse drug event detection from electronic health records using hierarchical recurrent neural networks with dual-level embedding S Wunnava, X Qin, T Kakar, C Sen, EA Rundensteiner, X Kong Drug safety 42, 113-122, 2019 | 62 | 2019 |
| Scalable kernel density estimation-based local outlier detection over large data streams X Qin, L Cao, EA Rundensteiner, S Madden Proceedings of the 22nd International Conference on Extending Database …, 2019 | 55 | 2019 |
| Medical entity disambiguation using graph neural networks A Vretinaris, C Lei, V Efthymiou, X Qin, F Özcan Proceedings of the 2021 international conference on management of data, 2310 …, 2021 | 40 | 2021 |
| Relation-aware graph attention model with adaptive self-adversarial training X Qin, N Sheikh, B Reinwald, L Wu Proceedings of the AAAI conference on artificial intelligence 35 (11), 9368-9376, 2021 | 30 | 2021 |
| Bidirectional LSTM-CRF for adverse drug event tagging in electronic health records S Wunnava, X Qin, T Kakar, EA Rundensteiner, X Kong International Workshop on Medication and Adverse Drug Event Detection, 48-56, 2018 | 29 | 2018 |
| Mixed-type tabular data synthesis with score-based diffusion in latent space H Zhang, J Zhang, B Srinivasan, Z Shen, X Qin, C Faloutsos, H Rangwala, ... arXiv preprint arXiv:2310.09656, 2023 | 24 | 2023 |
| Maras: Signaling multi-drug adverse reactions X Qin, T Kakar, S Wunnava, EA Rundensteiner, L Cao Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 19 | 2017 |
| Knowledge graph embedding using graph convolutional networks with relation-aware attention N Sheikh, X Qin, B Reinwald, C Miksovic, T Gschwind, P Scotton arXiv preprint arXiv:2102.07200, 2021 | 13 | 2021 |
| A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events S Wunnava, X Qin, T Kakar, X Kong, E Rundensteiner Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 12 | 2020 |
| Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance S Wunnava, X Qin, T Kakar, V Socrates, A Wallace, E Rundensteiner Proceedings of the Symposium on Applied Computing, 777-782, 2017 | 12 | 2017 |
| Diva: Exploration and validation of hypothesized drug‐drug interactions T Kakar, X Qin, EA Rundensteiner, L Harrison, SK Sahoo, S De Computer Graphics Forum 38 (3), 95-106, 2019 | 11 | 2019 |
| Automatic table union search with tabular representation learning X Hu, S Wang, X Qin, C Lei, Z Shen, C Faloutsos, A Katsifodimos, ... Findings of the Association for Computational Linguistics: ACL 2023, 3786-3800, 2023 | 8 | 2023 |
| SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs X Qin, N Sheikh, C Lei, B Reinwald, G Domeniconi 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2850-2863, 2023 | 7 | 2023 |
| Mediar: multi-drug adverse reactions analytics X Qin, T Kakar, S Wunnava, B MacCarthy, A Schade, HQ Tran, B Zylich, ... 2018 IEEE 34th international conference on data engineering (ICDE), 1565-1568, 2018 | 7 | 2018 |
| One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives S Wunnava, X Qin, T Kakar, X Kong, E Rundensteiner, S Sahoo, S De The 11th International Joint Conference on Biomedical Engineering Systems …, 2018 | 7 | 2018 |
| Scaling knowledge graph embedding models for link prediction N Sheikh, X Qin, B Reinwald, C Lei Proceedings of the 2nd European Workshop on Machine Learning and Systems, 87-94, 2022 | 6 | 2022 |
| Chinese Unknown Word Recognition Based on Functional Applications of Type Theory D Gao, Z Niu, L Lv, P Jiang, X Qin, J Guo 2008 Second International Symposium on Intelligent Information Technology …, 2008 | 6 | 2008 |
| Knowledge graph embedding using graph convolutional networks with relation-aware attention N Sheikh, X Qin, B Reinwald, CAM Czasch, T Gschwind, P Scotton US Patent App. 17/161,933, 2022 | 5 | 2022 |
| Xiangnan Kong, and Elke Rundensteiner. 2020. A dual-attention network for joint named entity recognition and sentence classification of adverse drug events S Wunnava, X Qin, T Kakar Findings of EMNLP, 2020 | 5 | 2020 |
| Scaling knowledge graph embedding models N Sheikh, X Qin, B Reinwald, C Lei arXiv preprint arXiv:2201.02791, 2022 | 4 | 2022 |
Elke RundensteinerThe William Smith Dean's Professor, Computer Science; Founding Head, Data Science Program; WorcesterVerified email at wpi.edu
