Di Jin
Di Jin
Senior Research Scientist, Meta GenAI
Verified email at - Homepage
Cited by
Cited by
Publicly available clinical BERT embeddings
E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ...
arXiv preprint arXiv:1904.03323, 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
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
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
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
Tomographic phase microscopy: principles and applications in bioimaging
D Jin, R Zhou, Z Yaqoob, PTC So
JOSA B 34 (5), B64-B77, 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
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
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
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
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
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
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
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
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
Hierarchical neural networks for sequential sentence classification in medical scientific abstracts
D Jin, P Szolovits
arXiv preprint arXiv:1808.06161, 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
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
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
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
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