| A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing TH Pham, Y Qiu, J Zeng, L Xie, P Zhang Nature machine intelligence 3 (3), 247-257, 2021 | 141 | 2021 |
| End-to-end recurrent neural network models for vietnamese named entity recognition: Word-level vs. character-level TH Pham, P Le-Hong International Conference of the Pacific Association for Computational …, 2017 | 63 | 2017 |
| An empirical study on fine-grained named entity recognition K Mai, TH Pham, MT Nguyen, TD Nguyen, D Bollegala, R Sasano, ... Proceedings of the 27th International Conference on Computational …, 2018 | 52 | 2018 |
| TransICD: Transformer based code-wise attention model for explainable ICD coding B Biswas, TH Pham, P Zhang Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | 27 | 2021 |
| Nnvlp: A neural network-based vietnamese language processing toolkit TH Pham, XK Pham, TA Nguyen, P Le-Hong Proceedings of the IJCNLP 2017, System Demonstrations, 37--40, 2017 | 23 | 2017 |
| The importance of automatic syntactic features in vietnamese named entity recognition TH Pham, P Le-Hong The 31st Pacific Asia Conference on Language, Information and Computation …, 2017 | 18 | 2017 |
| On the use of machine translation-based approaches for vietnamese diacritic restoration TH Pham, XK Pham, P Le-Hong 2017 International Conference on Asian Language Processing (IALP), 272-275, 2017 | 14 | 2017 |
| Fairness and accuracy under domain generalization TH Pham, X Zhang, P Zhang ArXiv, 2023 | 11 | 2023 |
| Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing TH Pham, Y Qiu, J Liu, S Zimmer, E O’Neill, L Xie, P Zhang Patterns 3 (4), 2022 | 11 | 2022 |
| Content-based approach for Vietnamese spam SMS filtering TH Pham, P Le-Hong 2016 International Conference on Asian Language Processing (IALP), 41-44, 2016 | 11 | 2016 |
| Cardiac complication risk profiling for cancer survivors via multi-view multi-task learning TH Pham, C Yin, L Mehta, X Zhang, P Zhang 2021 IEEE International Conference on Data Mining (ICDM), 499-508, 2021 | 9 | 2021 |
| Building a semantic role labelling system for Vietnamese TH Pham, XK Pham, P Le-Hong 2015 Tenth International Conference on Digital Information Management (ICDIM …, 2015 | 8 | 2015 |
| Multi-task learning with contextualized word representations for extented named entity recognition TH Pham, K Mai, NM Trung, NT Duc, D Bolegala, R Sasano, S Sekine arXiv preprint arXiv:1902.10118, 2019 | 7 | 2019 |
| Extended named entity recognition API and its applications in language education TD Nguyen, K Mai, TH Pham, MT Nguyen, TVT Nguyen, T Eguchi, ... Proceedings of ACL 2017, System Demonstrations, 37-42, 2017 | 6 | 2017 |
| An empirical study of discriminative sequence labeling models for vietnamese text processing P Le-Hong, MPQ Nhat, TH Pham, TA Tran, DM Nguyen 2017 9th International Conference on Knowledge and Systems Engineering (KSE …, 2017 | 5 | 2017 |
| FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery TH Pham, L Xie, P Zhang Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 4 | 2022 |
| Vietnamese semantic role labelling HP Le, TH Pham, XK Pham, TL Nguyen, MH Nguyen H.: ĐHQGHN, 2017 | 4* | 2017 |
| Dream: Domain invariant and contrastive representation for sleep dynamics S Lee, TH Pham, P Zhang 2022 IEEE International Conference on Data Mining (ICDM), 1029-1034, 2022 | 2 | 2022 |
| Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging S Lee, TH Pham, Z Cheng, P Zhang arXiv preprint arXiv:2312.03196, 2023 | | 2023 |
| Adaptive Invariant Representation Learning for Non-stationary Domain Generalization TH Pham, X Zhang, P Zhang | | 2023 |
Ping ZhangThe Ohio State UniversityVerified email at osu.edu
