Shaodian Zhang, Erin O'Carroll Bantum, Jason Owen, Suzanne Bakken, and Noemie Elhadad,Online cancer communities as informatics intervention for social support: Conceptualization, Characterization, and Impact, Journal of American Medical Informatics Association (JAMIA).
Junjie Xing, Kenny Q. Zhu, and Shaodian Zhang, Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text, COLING 2018.
Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, and Yong Yu, Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition, NAACL 2018.
Zhe Jian, Xusheng Guo, Shijian Liu, Handong Ma,Shaodian Zhang, Rui Zhang, Jianbo Lei, A Cascaded Approach for Chinese Clinical Text De-Identification with Less Annotation Effort, Journal of Biomedical Informatics (JBI).
Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, and Noemie Elhadad, Cataloguing treatments discussed and used in online autism communities, 2017 International World Wide Web Conference (WWW) (acceptance rate: 17%).
Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu, and Noemie Elhadad, "We Make Choices We Think are Going to Save Us": Debate and Stance Identification for Online Breast Cancer CAM Discussions, 2017 International World Wide Web Conference (WWW).
Erin O’Carroll Bantum, Noemie Elhadad, Jason E. Owen,Shaodian Zhang, Mitch Golant, Joanne Buzaglo, Joanne Stephen and Janine Giese-Davis, Machine Learning for Identifying Emotional Expression in Text: Improving the Accuracy of Established Methods, Journal of Technology in Behavioral Science.
Tian Kang,Shaodian Zhang, Youlan Tang, Gregory W. Hruby, Alexander Rusanov, Noemie Elhadad, and Chunhua Weng, EliIE: An Open-Source Information Extraction System for Clinical Trial Eligibility Criteria, Journal of American Medical Informatics Association (JAMIA).
Shaodian Zhang, Edouard Grave, Elizabeth Sklar, and Noemie Elhadad, Longitudinal Analysis of Discussion Topics in an Online Breast Cancer Community using Convolutional Neural Networks, Journal of Biomedical Informatics (JBI).
Tian Kang,Shaodian Zhang, Xingting Zhang, Dong Wen, and Jianbo Lei, Detecting Negation and Scope in Chinese Clinical Notes using Character and Word Embedding, Computer Methods and Programs in Biomedicine.
Shaodian Zhang, and Noemie Elhadad, Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses, AMIA 2016.Best student paper finalist.
Shaodian Zhang, Tian Kang, Xingting Zhang, Dong Wen, Noemie Elhadad, and Jianbo Lei, Speculation Detection for Chinese Clinical Notes: Impacts of Word Segmentation and Embedding Models, Journal of Biomedical Informatics (JBI).
Shaodian Zhang, Erin Bantum, Jason Owen, and Noemie Elhadad, Does Sustained Participation in an Online Health Community Affect Sentiment?, AMIA 2014.Best student paper finalist.
Noemie Elhadad,Shaodian Zhang, Patricia Driscoll, and Samuel Brody, Characterizing the Sublanguage of Online Breast Cancer Forums for Medications, Symptoms, and Emotions., AMIA 2014.
Xiaohua Liu, Furu Wei,Shaodian Zhang, and Ming Zhou, Named Entity Recognition for Tweets., ACM Transactions on Intelligent Systems and Technology (TIST).
Shaodian Zhang and Noemie Elhadad, Unsupervised Biomedical Named Entity Recognition: Experiments with Clinical and Biological Texts, Journal of Biomedical Informatics (JBI).
Xiaohua Liu,Shaodian Zhang, Furu Wei, and Ming Zhou, Recognizing Named Entities in Tweets, ACL 2011.
Shaodian Zhang, Hai Zhao, Guodong Zhou, and Bao-liang Lu, Hedge Detection and Scope Finding by Sequence Labeling with Normalized Feature Selection, CoNLL 2010.
Yanru Qu, Zhenghui Wang, Lin Qiu, Ken Chen, Shaodian Zhang, Yong Yu. Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. WWW'19. 2019.
Kenny Zhu, Junjie Xing, Shaodian Zhang. Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text. Proceedings of the 27th International Conference on Computational Linguistics. 2018.
Weinan Zhang, Zhenghui Wang, Shaodian Zhang，Yimei Gao，Gen Gu，Ken Chen. Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2018.
