| Practicing deep learning in materials science: An evaluation for predicting the formation energies L Huang, C Ling Journal of Applied Physics 128 (12), 2020 | 19 | 2020 |
| Representing multiword chemical terms through phrase-level preprocessing and word embedding L Huang, C Ling ACS omega 4 (20), 18510-18519, 2019 | 11 | 2019 |
| Mining potentially unreported effects from twitter posts through relational similarity: A case for opioids K Jiang, L Huang, T Chen, G Karbaschi, D Zhang, GR Bernard 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 8 | 2020 |
| A data-driven method of discovering misspellings of medication names on twitter K Jiang, T Chen, L Huang, RA Calix, GR Bernard Studies in health technology and informatics 247, 136, 2018 | 8 | 2018 |
| Leveraging transfer learning and chemical principles toward interpretable materials properties L Huang, C Ling Journal of Chemical Information and Modeling 61 (9), 4200-4209, 2021 | 7 | 2021 |
| Mining potential effects of HUMIRA in Twitter posts through relational similarity K Jiang, S Feng, L Huang, T Chen, GR Bernard Digital Personalized Health and Medicine, 874-878, 2020 | 3 | 2020 |
| An explainable approach of inferring potential medication effects from social media data K Jiang, T Chen, L Huang, R Gupta, RA Calix, GR Bernard Artificial Intelligence in Medicine: Knowledge Representation and …, 2019 | 2 | 2019 |
| Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding. K Jiang, T Chen, L Huang, G Karbaschi, GR Bernard SEPDA@ ISWC, 68-77, 2019 | 1 | 2019 |
Chen LingToyota Research Institute of North AmericaVerified email at toyota.com
