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Di Jin
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I am a fast learner and a passionate worker aiming to contribute my best to the machine learning community!
My current research focus on various problems on deep learning, including time series analysis, natural language processing, and medical image analysis.
My current research focus on various problems on deep learning, including time series analysis, natural language processing, and medical image analysis.
Papers35 papers
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ACL, pp.5082-5093, (2020)
european conference on computer vision, pp.1-17, (2020)
national conference on artificial intelligence, (2020)
EMNLP 2020, pp.3594-3605, (2020)
Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI, pp.79-89, (2020)
ACL (1), pp.3461-3471, (2019)
Cited by13EIBibtex
IEEE Trans. Pattern Anal. Mach. Intell., no. 2 (2019): 434-446
BIOMEDICAL OPTICS EXPRESS, no. 3 (2019): 1044.0-1063
BIOINFORMATICS, no. 12 (2019): 3856-3862
arXiv: Computation and Language, (2019)
Emily Alsentzer,John R. Murphy, Willie Boag,Wei-Hung Weng,Di Jin,Tristan Naumann, Matthew B. A. McDermott
arXiv: Computation and Language, (2019)
IEEE Transactions on Neural Networks and Learning Systems, no. 7 (2019): 2304-2314
EMNLP/IJCNLP (1), pp.3095-3107, (2019)
arXiv: Image and Video Processing, (2018)
Bibtex
Optics express, no. 1 (2018): 428-437
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