Bingyang Yehe/him/his is a
1st-year PhD candidate in
Natural Language Processinglinguistics, computer science & artificial intelligence

Bingyang Yehe/him/his is a 1st-year PhD candidate in Natural Language Processing

- supervised byProf. James Pustejovskyat Brandeis University. He earned his MS degree in Computational Linguistics from Brandeis University and his BA in English & French from Nanjing Normal University, and worked as a NLP Scientist at CodaMetrix with a focus in Clinical NLP inbetween his studies.

- supervised byProf. James Pustejovskyat Brandeis University. He earned his MS degree in Computational Linguistics from Brandeis University and his BA in English & French from Nanjing Normal University, and worked as a NLP Scientist at CodaMetrix with a focus in Clinical NLP inbetween his studies.

Bingyang's academic focuses include Natural Language Understanding, Computational Linguistics, Language Annotation, Clinical NLP, and ML/DL in general.

Pubications

Interpreting Logical Metonymy through Dense Paraphrasing

Ye, Bingyang, Jingxuan Tu, Elizabeth Jezek, James Pustejovsky.
Proceedings of the Annual Meeting of the Cognitive Science Society. 2022, 44(44).

Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification

Kim, Youngwoo, Cheng Li, Bingyang Ye, Amir M. Tahmasebi and Javed A. Aslam.
ArXiv abs/2103.07808 (2021): n. pag

From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention

Sen, Cansu, Bingyang Ye, Javed A. Aslam and Amir M. Tahmasebi.
ArXiv abs/2102.09136 (2021): n. pag

An Ensemble Approach to Automatic Structuring of Radiology Reports

Shahri, Morteza Pourreza, Amir M. Tahmasebi, Bingyang Ye, Henghui Zhu, Javed A. Aslam and Timothy G. Ferris.
CLINICALNLP (2020)

Presentations

Automatic CPT Coding of Radiology Notes using Convolutional Recurrent Neural Network

C-MIMI 2020