Publications

(* means equal contribution. # represents corresponding author. For a full list of publications, please go to Google Scholar)

2022

Trend and co-occurrence network study of symptoms through social media: an example of COVID-19
Jiageng Wu, Lumin Wang, Yining Hua, Minghui Li, Li Zhou, David W Bates, Jie Yang#
medRxiv [bib]

YATO: Yet Another deep learning based Text analysis Open toolkit
Zeqiang Wang, Yile Wang, Jiageng Wu, Zhiyang Teng, Jie Yang#
arxiv [bib]

Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study
Minghui Li, Yining Hua, Yanhui Liao, Li Zhou, Xue Li, Ling Wang, Jie Yang#
Journal of Medical Internet Research, 2022 [bib]

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.
Peiling Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang#
Advances in Neural Information Processing Systems (NeurIPS), 2022 [bib]

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective.
Qingcheng Zeng, Dading Chong, Peiling Zhou, Jie Yang#
INTERSPEECH, 2022 [bib]

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.
Courtney J Diamond, John Laurentiev, Jie Yang, …, Li Zhou
Studies in health technology and informatics, 2022 [bib]

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications.
Yining Hua, Hang Jiang, Shixu Lin, Jie Yang, Joseph M Plasek, David W Bates, Li Zhou
Journal of the American Medical Informatics Association, 2022 [bib]

2021

Assessing the Prognostic Significance of Tumor-Infiltrating Lymphocytes in Patients With Melanoma Using Pathologic Features Identified by Natural Language Processing.
Jie Yang , John Lian, Yen Po Chin, Liqin Wang, Anna Lian, George F. Murphy, Li Zhou
JAMA Network Open, 2021 [bib]

Development and Validation of a Deep Learning Model for Earlier Detection of Cognitive Decline From Clinical Notes in Electronic Health Records
Liqin Wang, John Laurentiev, Jie Yang , Ying-Chih Lo, Rebecca E. Amariglio, Deborah Blacker, Reisa A. Sperling, Gad A. Marshall, Li Zhou.
JAMA Network Open, 2021 [bib]

Multilevel follow-up of cancer screening (mFOCUS): Protocol for a multilevel intervention to improve the follow-up of abnormal cancer screening test results
Jennifer Hass, …, Jie Yang , Li Zhou, Anna Tosteson.
Contemporary Clinical Trials, 2021 [bib]

2020

Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals
Jie Yang , Liqin Wang, Neelam A. Phadke, Paige G. Wickner, Christian M. Mancini, Kimberly G. Blumenthal, Li Zhou.
JAMA Network Open, 2020 [bib]

Disparities in Outpatient Visits for Mental Health and/or Substance Use Disorders During the COVID-19 Surge and Partial Reopening in Massachusetts
Jie Yang , Mary B. Landrum, Li Zhou, Alisa Busch.
General Hospital Psychiatry, 2020 [bib]

Deep Learning to Detect Allergy Events from Hospital Safety Reports
Jie Yang , Liqin Wang, Neelam Phadke, Paige Wickner, Christian Mancini, Kimberly Blumenthal, Li Zhou.
American Medical Informatics Association Annual Symposium (AMIA), 2020 [bib]

Allergic Reactions in Two Academic Medical Centers
Neelam A. Phadke, Li Zhou, Christian M. Mancini, Jie Yang , Liqin Wang, Paige Wickner, Xiaoqing Fu, Kimberly G. Blumenthal.
Journal of General Internal Medicine, 2020 [bib]

Implementing an IT-Based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: the mFOCUS Trial
Courtney Diamond, Steven Atlas, Tin Dang, Jie Yang , Li Zhou, Sanja Percac-Lima, Amy Wint, Kimberly Harris, John Orav, Erica Breslau, Shoshana Hort, Anna Tosteson, Jennifer Haas, Adam Wright.
American Medical Informatics Association Annual Symposium (AMIA), 2020 [bib]

Lattice LSTM for Chinese Sentence Representation
Yue Zhang, Yile Wang, Jie Yang* .
IEEE Transactions on Audio, Speech and Language Processing, 2020 [bib]

2019

Subword Encoding in Lattice LSTM for Chinese Word Segmentation
Jie Yang , Yue Zhang, Shuailong Liang.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019 [bib]

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration
Zfania T. Korach, Jie Yang , Sarah Collins Rossetti, Kenrick D. Cato, Min-Jeoung Kang, Christopher Knaplund, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Jessica M. Schwartz, Li Zhou.
International Journal of Medical Informatics, 2019 [bib]

From Gensis to Creole language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging
Hongming Wang, Jie Yang , Yue Zhang.
ACM Transactions on Asian and Low-Resource Language Information Processing, 2019 [bib]

2018

Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang , Shuailong Liang, Yue Zhang.
The 27th International Conference on Computational Linguistics (COLING), 2018. Best Paper Award. [bib]

Chinese NER Using Lattice LSTM
Yue Zhang*, Jie Yang*.
The 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. [bib]

NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang , Yue Zhang.
The 56th Annual Meeting of the Association for Computational Linguistics (ACL Demonstration paper), 2018 [bib]

YEDDA: A Lightweight Collaborative Text Span Annotation Tool
Jie Yang , Yue Zhang, Linwei Li, Xingxuan Li.
The 56th Annual Meeting of the Association for Computational Linguistics (ACL Demonstration paper), 2018. Best Demo Paper Nomination. [bib]

2017

Neural Word Segmentation with Rich Pretraining
Jie Yang* , Yue Zhang*, Fei Dong.
The 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017. [bib]

Universal Dependencies Parsing for Colloquial Singaporean English
Hongmin Wang, Yue Zhang, Leonard Chan, Jie Yang and Hai Leong Chieu.
The 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017. [bib]

Neural Reranking for Named Entity Recognition
Jie Yang , Yue Zhang, Fei Dong.
Recent Advances In Natural Language Processing (RANLP: Regular paper; accepted rate: 14%), 2017. [bib]

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring
Fei Dong, Yue Zhang and Jie Yang .
The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2017. [bib]

2016

Combining Discrete and Neural Features for Sequence Labeling
Jie Yang , Zhiyang Teng, Meishan Zhang, and Yue Zhang.
The 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), 2016. [bib]

LibN3L: A Lightweight Package for Neural NLP
Meishan Zhang, Jie Yang , Zhiyang Teng, Yue Zhang.
The 10th Edition of the Language Resources and Evaluation Conference (LREC), 2016. [bib]

Before 2016

Effects of defects and thermal treatment on the properties of graphene
Kunpeng Jia, Yajuan Su, Yang Chen, Jun Luo, Jie Yang , Peng Lv, Zihan Zhang, Huilong Zhu, Chao Zhao, Tianchun Ye.
VACUUM, 2015. [bib]

Hysteresis analysis of graphene transistor under repeated test and gate voltage stress
Jie Yang , Jia Kunpeng, Su Yajuan, Chen Yang, Zhao Chao.
Journal of Semiconductors, 2014. [bib]

Stability analysis of a back-gate graphene transistor in air environment
Jia Kunpeng, Jie Yang , Su Yajuan, Nie Pengfei, Zhong Jian, Liang Qingqing
Journal of Semiconductors, 2013. [bib]