Concept Tree Based Clustering Visualization with Shaded Similarity Matrices. - Jun Wang 142; Bei Yu 002; Les Gasser (ICDM, 2002)

A cross-collection mixture model for comparative text mining. - ChengXiang Zhai; Atulya Velivelli; Bei Yu 002 (KDD, 2004)

Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces. - Catherine Plaisant; James Rose; Bei Yu 002; Loretta Auvil; Matthew G. Kirschenbaum; Martha Nell Smith; Tanya E. Clement; Greg Lord (JCDL, 2006)

Exploring the characteristics of opinion expressions for political opinion classification. - Bei Yu 002; Stefan Kaufmann 001; Daniel Diermeier (DG.O, 2008)

Strangeness-based feature weighting and classification of gene expression profiles. - Haifeng Shao; Bei Yu 002; Joseph H. Nadeau (SAC, 2008)

An evaluation of text classification methods for literary study. - Bei Yu 002 (Lit. Linguistic Comput., 2008)

TSA'09 workshop summary: topic-sentiment analysis. - Bei Yu 002; Maojin Jiang (CIKM, 2009)

Collecting legacy corpora from social science research for text mining evaluation. - Bei Yu 002; Min-Chun Ku (ASIST, 2010)

Sentence recall game: a novel tool for collecting data to discover language usage patterns. - Jun Wang 142; Bei Yu 002 (HCOMP@KDD, 2010)

The emotional world of health online communities. - Bei Yu 002 (iConference, 2011)

Exploring The Relationship Between Mood and Creativity in Rock Lyrics. - Xiao Hu 001; Bei Yu 002 (ISMIR, 2011)

Toward Predicting Popularity of Social Marketing Messages. - Bei Yu 002; Miao Chen; Linchi Kwok (SBP, 2011)

Function Words for Chinese Authorship Attribution. - Bei Yu 002 (CLfL@NAACL-HLT, 2012)

Collecting Representative Pictures for Words: A Human Computation Approach Based on Draw Something Game. - Jun Wang 142; Bei Yu 002 (HCOMP@AAAI, 2012)

Automated citation sentiment analysis: What can we learn from biomedical researchers. - Bei Yu 002 (ASIST, 2013)

Classifying Negative Findings in Biomedical Publications. - Bei Yu 002; Daniele Fanelli (BioNLP@ACL, 2014)

Language and gender in Congressional speech. - Bei Yu 002 (Lit. Linguistic Comput., 2014)

3rd International Workshop on News Recommendation and Analytics (INRA 2015). - Jon Atle Gulla; Bei Yu 002; Özlem Özgöbek; Nafiseh Shabib (RecSys, 2015)

Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals. - Ye Chen; Bei Yu 002; Xuewei Zhang; Yihan Yu (LAK, 2016)

Teaching information science and technology to the world? Practices, challenges and visions. - Xiao Hu 001; Bei Yu 002; Sue Alman; Allen H. Renear; Toni Carbo (ASIST, 2017)

An NLP Analysis of Exaggerated Claims in Science News. - Yingya Li; Jieke Zhang; Bei Yu 002 (NLPmJ@EMNLP, 2017)

An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines. - Shi Yuan; Bei Yu 002 (EventStory@Coling, 2018)

Knowledge Node and Relation Detection. - Jian Qin; Bei Yu 002; Liya Wang (NKOS@TPDL, 2018)

Auto-Tracking Controversial Topics in Social-Media-Based Customer Dialog: A Case Study on Starbucks. - Bei Yu 002; Yihan Yu (iConference, 2018)

Detecting Causal Language Use in Science Findings. - Bei Yu 002; Yingya Li; Jun Wang 142 (EMNLP/IJCNLP (1), 2019)

Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts. - Yingya Li; Bei Yu 002 (iConference, 2019)

Toward Training and Assessing Reproducible Data Analysis in Data Science Education. - Bei Yu 002; Xiao Hu 001 (Data Intell., 2019)

HClaimE: A tool for identifying health claims in health news headlines. - Shi Yuan; Bei Yu 002 (Inf. Process. Manag., 2019)

Measuring Correlation-to-Causation Exaggeration in Press Releases. - Bei Yu 002; Jun Wang 142; Lu Guo; Yingya Li (COLING, 2020)

Information Quality of Reddit Link Posts on Health News. - Haichen Zhou; Bei Yu 002 (iConference, 2020)

Detecting Health Advice in Medical Research Literature. - Yingya Li; Jun Wang 142; Bei Yu 002 (EMNLP (1), 2021)

Self Promotion in US Congressional Tweets. - Jun Wang 142; Kelly Cui; Bei Yu 002 (NAACL-HLT, 2021)

News2PubMed: A Browser Extension for Linking Health News to Medical Literature. - Jun Wang 142; Bei Yu 002 (SIGIR, 2021)

Linking Health News to Research Literature. - Jun Wang 142; Bei Yu 002 (CoRR, 2021)

Interventions to support consumer evaluation of online health information credibility: A scoping review. - Shijie Song; Yan Zhang 005; Bei Yu 002 (Int. J. Medical Informatics, 2021)

Advice Giving in Medical Research Literature. - Yingya Li; Bei Yu 002 (iConference (2), 2022)

Can ChatGPT Understand Causal Language in Science Claims? - Yuheun Kim; Lu Guo; Bei Yu 002; Yingya Li (WASSA@ACL, 2023)