| Publicly available clinical BERT embeddings E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ... arXiv preprint arXiv:1904.03323, 2019 | 2272 | 2019 |
| Is bert really robust? a strong baseline for natural language attack on text classification and entailment D Jin, Z Jin, JT Zhou, P Szolovits Proceedings of the AAAI conference on artificial intelligence 34 (05), 8018-8025, 2020 | 1214* | 2020 |
| Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp JX Morris, E Lifland, JY Yoo, J Grigsby, D Jin, Y Qi arXiv preprint arXiv:2005.05909, 2020 | 685 | 2020 |
| What disease does this patient have? a large-scale open domain question answering dataset from medical exams D Jin, E Pan, N Oufattole, WH Weng, H Fang, P Szolovits Applied Sciences 11 (14), 6421, 2021 | 376 | 2021 |
| Deep learning for text style transfer: A survey D Jin, Z Jin, Z Hu, O Vechtomova, R Mihalcea Computational Linguistics 48 (1), 155-205, 2022 | 265 | 2022 |
| Tomographic phase microscopy: principles and applications in bioimaging D Jin, R Zhou, Z Yaqoob, PTC So JOSA B 34 (5), B64-B77, 2017 | 226 | 2017 |
| A microfluidic device enabling high-efficiency single cell trapping D Jin, B Deng, JX Li, W Cai, L Tu, J Chen, Q Wu, WH Wang Biomicrofluidics 9 (1), 2015 | 129 | 2015 |
| High-throughput, high-resolution deep learning microscopy based on registration-free generative adversarial network H Zhang, C Fang, X Xie, Y Yang, W Mei, D Jin, P Fei Biomedical optics express 10 (3), 1044-1063, 2019 | 127 | 2019 |
| Dual adversarial neural transfer for low-resource named entity recognition JT Zhou, H Zhang, D Jin, H Zhu, M Fang, RSM Goh, K Kwok Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 125 | 2019 |
| IMaT: Unsupervised text attribute transfer via iterative matching and translation Z Jin, D Jin, J Mueller, N Matthews, E Santus arXiv preprint arXiv:1901.11333, 2019 | 79 | 2019 |
| Fashion captioning: Towards generating accurate descriptions with semantic rewards X Yang, H Zhang, D Jin, Y Liu, CH Wu, J Tan, D Xie, J Wang, X Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 78 | 2020 |
| Hooks in the headline: Learning to generate headlines with controlled styles D Jin, Z Jin, JT Zhou, L Orii, P Szolovits arXiv preprint arXiv:2004.01980, 2020 | 72 | 2020 |
| Mmm: Multi-stage multi-task learning for multi-choice reading comprehension D Jin, S Gao, JY Kao, T Chung, D Hakkani-Tur Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8010-8017, 2020 | 72 | 2020 |
| From machine reading comprehension to dialogue state tracking: Bridging the gap S Gao, S Agarwal, T Chung, D Jin, D Hakkani-Tur arXiv preprint arXiv:2004.05827, 2020 | 69 | 2020 |
| High spatial and temporal resolution synthetic aperture phase microscopy C Zheng, D Jin, Y He, H Lin, J Hu, Z Yaqoob, PTC So, R Zhou Advanced Photonics 2 (6), 065002-065002, 2020 | 66 | 2020 |
| Hierarchical neural networks for sequential sentence classification in medical scientific abstracts D Jin, P Szolovits arXiv preprint arXiv:1808.06161, 2018 | 66 | 2018 |
| Pico element detection in medical text via long short-term memory neural networks D Jin, P Szolovits Proceedings of the BioNLP 2018 workshop, 67-75, 2018 | 59 | 2018 |
| Tasty burgers, soggy fries: Probing aspect robustness in aspect-based sentiment analysis X Xing, Z Jin, D Jin, B Wang, Q Zhang, X Huang arXiv preprint arXiv:2009.07964, 2020 | 58 | 2020 |
| Explainable deep learning in healthcare: A methodological survey from an attribution view D Jin, E Sergeeva, WH Weng, G Chauhan, P Szolovits WIREs Mechanisms of Disease 14 (3), e1548, 2022 | 55 | 2022 |
| Dynamic spatial filtering using a digital micromirror device for high-speed optical diffraction tomography D Jin, R Zhou, Z Yaqoob, PTC So Optics express 26 (1), 428-437, 2018 | 55 | 2018 |
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
