See also my Google Scholar profile.
Jiaming Qu, Jaime Arguello, Yue Wang.
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification. the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT). Accepted; to appear.
[preprint]
Mengtian Guo, David Gotz, Yue Wang.
How Does Imperfect Automatic Indexing Affect Semantic Search Performance? The 6th International Workshop on Health Natural Language Processing, in conjunction with the 11th IEEE International Conference on Healthcare Informatics (ICHI).
[arxiv]
[IEEE Digital Library]
Lei Wang, José Luis Ambite, Abhishek Appaji, Janine Bijsterbosch, Jerome Dockes, Rick Herrick, Alex Kogan, Howard Lander, Daniel Marcus, Stephen M Moore, Jean-Baptiste Poline, Arcot Rajasekar, Satya S Sahoo, Matthew D Turner, Xiaochen Wang, Yue Wang, Jessica A Turner.
NeuroBridge: A Prototype Platform for Discovery of the Long-tail Neuroimaging Data. Frontiers in Neuroinformatics. Volume 17. 2023.
[PubMed Central]
Satya S Sahoo, Matthew D Turner, Lei Wang, Jose Luis Ambite, Abhishek Appaji, Arcot Rajasekar, Howard M Lander, Yue Wang, Jessica A Turner.
NeuroBridge Ontology: Computable Provenance Metadata to Give the Long Tail of Neuroimaging Data A FAIR Chance for Secondary Use. Frontiers in Neuroinformatics. Volume 17. 2023.
[PubMed Central]
Jean-Jacques Dubois, Yue Wang.
Challenges and Opportunities in Extreme Systematic Reviews for Environmental Policymaking. The 2nd Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems (ALTARS 2023), in conjunction with the European Conference on Information Retrieval (ECIR 2023).
[preprint]
Mengtian Guo, Zhilan Zhou, David Gotz, Yue Wang.
GRAFS: Graphical Faceted Search System to Support Conceptual Understanding in Exploratory Search. ACM Transactions on Interactive Intelligent Systems (TiiS).
[arxiv]
[ACMDL]
[video]
Jiaming Qu, Jaime Arguello, Yue Wang.
Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories. The 2023 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR).
[ACMDL] [study material]
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang.
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP).
[ACL Anthology] [code]
Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang.
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP).
[ACL Anthology] [code]
Xiaochen Wang, Yue Wang, José-Luis Ambite, Abhishek Appaji, Howard Lander, Stephen M. Moore, Arcot K. Rajasekar, Jessica A. Turner, Matthew D. Turner, Lei Wang, Satya S. Sahoo.
Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project. American Medical Informatics Association 2022 Annual Symposium (AMIA).
[PubMed Central]
Zhilan Zhou, Wenyuan Wang, Mengtian Guo, Yue Wang, David Gotz.
A Design Space for Surfacing Content Recommendations in Visual Analytic Platforms. 2022 IEEE Visualization Conference
(IEEE VIS).
[IEEE Xplore]
[arXiv]
Jingwen Hou, Xiaochen Wang, Jean-Jacques Dubois, R. Byron Rice, Amanda Haddock, Yue Wang.
Extreme Systematic Reviews: A Large Literature
Screening Dataset to Support Environmental Policymaking. The 31rd ACM International Conference on Information and Knowledge Management (CIKM).
[ACMDL]
[resource link]
[data.gov]
Xuedong Li, Dezhong Peng, Yue Wang.
Improving Patient Self-Description in Chinese
Online Consultation Using Contextual Prompts. BMC Medical Informatics and Decision Making. Volume 21 22, Article 170.
[BMC link]
Xiaochen Wang, Yue Wang.
Sentence-Level Resampling for Named Entity Recognition. The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies, (NAACL).
[ACL Anthology]
[code]
Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei, Yue Wang.
When BERT Meets Bilbo: A Learning Curve Analysis of Pretrained Language Model on Disease Classification. BMC Medical Informatics and Decision Making, Volume 21, Supplement 9.
[BMC link]
Jiaming Qu, Jaime Arguello, Yue Wang.
A Study of Explainability Features to Scrutinize Faceted Filtering Results. The 30th ACM International Conference on Information and Knowledge Management (CIKM).
[pdf]
Yue Wang, David Gotz, Ethan M. Basch, Arlene E. Chung.
An Evaluation of Clinical Natural Language Processing Systems to Extract Symptomatic Adverse Events from Patient-Authored Free-Text Narratives. AMIA 2021 Informatics Summit.
[pdf]
Jiaming Qu, Jaime Arguello, Yue Wang.
A Deep Analysis of an Explainable Retrieval Model for Precision Medicine Literature Search. The 43rd European Conference on Information Retrieval (ECIR).
[pdf]
Tingyu Xia, Yue Wang, Tian Yuan, Yi Chang.
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. The 30th International World Wide Web Conference (WWW).
[pdf]
[code]
Zhilan Zhou, Ximing Wen, Yue Wang, David Gotz.
Modeling and Leveraging Analytic Focus During Exploratory Visual Analysis. 2021 ACM Conference on Human Factors in Computing Systems (CHI).
[ACMDL]
Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei, Yue Wang.
When BERT Meets Bilbo: A Learning Curve Analysis of Pretrained Language Model on Disease Classification. The 3rd International Workshop on Health Natural Language Processing, in conjunction with the 8th IEEE International Conference on Healthcare Informatics (ICHI).
[pdf]
Qifei Dong, Yue Wang.
Enhancing Medical Word Sense Inventories Using Word Sense Induction: A Preliminary Study The 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, in conjunction with the 46th International Conference on Very Large Data Bases (VLDB).
[pdf]
Lu He, Changyang He, Yue Wang, Zhaoxian Hu, Kai Zheng, Yunan Chen.
What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis. American Medical Informatics Association Annual Symposium (AMIA).
[pdf]
Nominated for AMIA Student Paper Competition
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang.
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. 2020 Annual Conference of the Association for Computational Linguistics (ACL), Seattle, U.S. (Virtual Event).
[ACL Anthology]
[code]
Jiaming Qu, Jaime Arguello, Yue Wang.
Towards Explainable Retrieval Models for Precision Medicine Literature Search. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Xi'an, China (Virtual Event).
[pdf]
[code]
[presentation]
Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng, Qiaozhu Mei.
Improving Rare Disease Classification Using Imperfect Knowledge Graph,
BMC Medical Informatics and Decision Making, 19, Article number: 238 (2019)
[preprint] for IEEE International Conference on Healthcare Informatics, Health NLP Workshop, June 2019
[BMC Open Access]
Jiatong Li, Kai Zheng, Hua Xu, Qiaozhu Mei, Yue Wang.
The Strength of the Weakest Supervision: Topic Classification Using Class Labels,
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
[ACL Anthology]
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang.
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations.
[arXiv]
Jiaming Qu, Yue Wang.
UNC SILS at TREC 2019 Precision Medicine Track,
in Proceedings of the 28th Text Retrieval Conference (TREC), 2019.
[notebook paper]
Jiaming Qu, Yue Wang.
UNC SILS at TREC 2019 News Track,
in Proceedings of the 28th Text Retrieval Conference (TREC), 2019.
[notebook paper]
Yue Wang, Doctoral Dissertation.
Interactive Machine Learning with Applications in Health Informatics.
[University of Michigan Library Database]
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei.
Optimizing Whole-Page Presentation for Web Search,
in ACM Transactions on the Web (TWEB), Volume 12 Issue 3, July 2018, Article No. 19.
[pdf]
[ACMDL]
Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei.
Interactive Medical Word Sense Disambiguation through Informed Learning,
in Journal of the American Medical Informatics Association (JAMIA), Volume 25, Issue 7, 1 July 2018, Pages 800–808.
[preprint]
[PubMed]
Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei.
End-to-end Learning for Short Text Expansion,
in Proceedings of the 23rd ACM Conference on Knowledge Discovery and Data Mining (KDD), pp. 1105-1113.
[preprint]
[ACMDL]
[3-minute promotional video]
Xinning Gui, Yue Wang, Yubo Kou, Tera Reynolds, Yunan Chen, Qiaozhu Mei, Kai Zheng.
Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak,
in American Medical Informatics Association Annual Symposium Proceedings (AMIA), 2017. pp. 820-829.
[PubMed]
[slides]
Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei.
Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling,
podium abstract at American Medical Informatics Association Annual Symposium (AMIA), 2017.
[pdf]
[slides]
Yue Wang, Jian Tang, V.G.Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei.
Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding,
poster at American Medical Informatics Association Annual Symposium (AMIA), 2017.
[pdf]
[slides]
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei.
Beyond Ranking: Optimizing Whole-Page Presentation,
in Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM), 2016. pp 103-112.
[preprint]
[slides]
[ACMDL]
WSDM'16 Best Paper Award
Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei.
Clinical Word Sense Disambiguation with Interactive Search and Classification,
in American Medical Informatics Association Annual Symposium Proceedings (AMIA), 2016. pp. 2062-2071.
[PubMed]
[slides]
Kai Zheng, V.G.Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Ozlem Uzuner, Anupama Gururaj, Samuel Bayer, John Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu.
Ease of Adoption of Clinical Natural Language Processing Software: An Evaluation of Five Systems,
in Journal of Biomedical Informatics (JBI), 2015. Dec;58 Suppl:S189-96.
[PubMed]
Cheng Li*, Yue Wang*, Qiaozhu Mei.
A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track,
in Proceedings of the 22nd Text Retrieval Conference (TREC), 2013. (* equal contribution)
[notebook paper]
1st place in Microblog Track
[our runs (Direrank, Avgrank, FSsvm, RvsDir) hit the top four in Microblog Track Overview] [UMSI News]
Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jiantao Sun, Junichi Tsujii, Eric Chang.
A Classification Approach to Coreference in Discharge Summaries: 2011 i2b2 Challenge,
in Journal of American Medical Informatics Association (JAMIA), 2012. Sep-Oct; 19(5): 897–905.
[PubMed]
1st place in Coreference Resolution Track, i2b2 2011 Clinical NLP Challenge
Yan Xu, Yue Wang, Jiahua Liu, Zhuowen Tu, Jiantao Sun, Junichi Tsujii, Eric Chang.
Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data,
in Journal of Biomedical Informatics Insights (JBII), 2012. 5(Suppl 1): 31–41.
[PubMed]
2nd place in Sentiment Classification Track, i2b2 2011 Clinical NLP Challenge
Yue Wang, Weidong Qiu.
Accelerating Elliptic Curve Point Multiplication Using Alternative Scalar,
in Information Security and Communications Privacy (Chinese journal), 2012.
[link]