Shop Together, Search Together: Collaborative E-commerce. - Yanjun Gao; Madhu C. Reddy; Bernard J. Jansen (CHI Extended Abstracts, 2016)

ShopWithMe!: Collaborative Information Searching and Shopping for Online Retail. - Yanjun Gao; Madhu C. Reddy; Bernard J. Jansen (HICSS, 2017)

Automated Content Analysis: A Case Study of Computer Science Student Summaries. - Yanjun Gao; Patricia Marybelle Davies; Rebecca J. Passonneau (BEA@NAACL-HLT, 2018)

PyrEval: An Automated Method for Summary Content Analysis. - Yanjun Gao; Andrew Warner; Rebecca J. Passonneau (LREC, 2018)

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays. - Yanjun Gao; Alex Driban; Brennan Xavier McManus; Elena Musi; Patricia Marybelle Davies; Smaranda Muresan; Rebecca J. Passonneau (BEA@ACL, 2019)

Automated Pyramid Summarization Evaluation. - Yanjun Gao; Chen Sun; Rebecca J. Passonneau (CoNLL, 2019)

A Vision Based Detection Method for Narrow Butt Joints and a Robotic Seam Tracking System. - Boce Xue; Baohua Chang; Guodong Peng; Yanjun Gao; Zhijie Tian; Dong Du 001; Guoqing Wang (Sensors, 2019)

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences. - Yanjun Gao; Ting-Hao Kenneth Huang; Rebecca J. Passonneau (ACL/IJCNLP (1), 2021)

Automated Assessment of Quality and Coverage of Ideas in Students' Source-Based Writing. - Yanjun Gao; Rebecca J. Passonneau (AIED (2), 2021)

Predictors of English as a Foreign Language (EFL) Teachers' Acceptance of Online Teaching in Higher Education Institutions in China. - Yanjun Gao; Su Luan Wong; Mas Nida Md. Khambari (ICCE, 2021)

EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation. - Yanjun Gao; Lulu Liu; Jason Wang; Xin Chen; Huayan Wang; Rui Zhang (CoRR, 2021)

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Dongfang Xu; Matthew M. Churpek; Majid Afshar (COLING, 2022)

Chinese EFL Teachers' Reflections of Online English Teaching during the COVID-19 Pandemic: A Qualitative Study. - Yanjun Gao; Su Luan Wong; Mas Nida Md. Khambari; Nooreen Noordin; Jingxin Geng (ICCE, 2022)

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Samuel Tesch; Ryan Laffin; Matthew M. Churpek; Majid Afshar (LREC, 2022)

A scoping review of publicly available language tasks in clinical natural language processing. - Yanjun Gao; Dmitriy Dligach; Leslie Christensen; Samuel Tesch; Ryan Laffin; Dongfang Xu; Timothy Miller 002; Özlem Uzuner; Matthew M. Churpek; Majid Afshar (J. Am. Medical Informatics Assoc., 2022)

Call for papers: Special issue on clinical natural language processing for secondary use applications. - Meliha Yetisgen; Özlem Uzuner; Yanjun Gao; Diwakar Mahajan (J. Biomed. Informatics, 2022)

A bibliometric analysis of online faculty professional development in higher education. - Yanjun Gao; Su Luan Wong; Mas Nida Md. Khambari; Nooreen Noordin (Res. Pract. Technol. Enhanc. Learn., 2022)

Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study. - Patricia Marybelle Davies; Rebecca J. Passonneau; Smaranda Muresan; Yanjun Gao (IEEE Trans. Educ., 2022)

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. - Brihat Sharma; Yanjun Gao; Timothy Miller 002; Matthew M. Churpek; Majid Afshar; Dmitriy Dligach (ClinicalNLP@ACL, 2023)

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. - Weipeng Zhou; Majid Afshar; Dmitriy Dligach; Yanjun Gao; Timothy A. Miller (ClinicalNLP@ACL, 2023)

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Majid Afshar (BioNLP@ACL, 2023)

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Matthew M. Churpek; Majid Afshar (CoRR, 2023)

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. - Yanjun Gao; Ruizhe Li 001; John R. Caskey; Dmitriy Dligach; Timothy Miller 002; Matthew M. Churpek; Majid Afshar (CoRR, 2023)

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; John R. Caskey; Brihat Sharma; Matthew M. Churpek; Majid Afshar (J. Biomed. Informatics, 2023)

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Matthew M. Churpek; Özlem Uzuner; Majid Afshar (J. Biomed. Informatics, 2023)

Improving model transferability for clinical note section classification models using continued pretraining. - Weipeng Zhou; Meliha Yetisgen; Majid Afshar; Yanjun Gao; Guergana Savova; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2023)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation. - Xin Chen; Hanxian Huang; Yanjun Gao; Yi Wang 031; Jishen Zhao; Ke Ding (ACL (Findings), 2024)

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Matthew M. Churpek; Majid Afshar (EMNLP (Findings), 2024)

Panoramic Image Inpainting with Gated Convolution and Contextual Reconstruction Loss. - Li Yu 004; Yanjun Gao; Farhad Pakdaman; Moncef Gabbouj (ICASSP, 2024)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation. - Xin Chen 040; Hanxian Huang; Yanjun Gao; Yi Wang 031; Jishen Zhao; Ke Ding (CoRR, 2024)

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. - Shan Chen 004; Jack Gallifant; Marco Guevara; Yanjun Gao; Majid Afshar; Timothy Miller 002; Dmitriy Dligach; Danielle S. Bitterman (CoRR, 2024)

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review. - Emma Croxford; Yanjun Gao; Nicholas Pellegrino; Karen K. Wong; Graham Wills; Elliot First; Frank J. Liao; Cherodeep Goswami; Brian W. Patterson; Majid Afshar (CoRR, 2024)

Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory. - Bingsheng Yao; Yao Du; Yue Fu; Xuhai Xu; Yanjun Gao; Hong Yu 001; Dakuo Wang (CoRR, 2024)

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Guanhua Chen; Anoop M. Mayampurath; Matthew M. Churpek; Majid Afshar (CoRR, 2024)

On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models. - Majid Afshar; Yanjun Gao; Deepak Gupta; Emma Croxford; Dina Demner-Fushman (J. Biomed. Informatics, 2024)

Clinical natural language processing for secondary uses. - Yanjun Gao; Diwakar Mahajan; Özlem Uzuner; Meliha Yetisgen (J. Biomed. Informatics, 2024)

Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions. - Ruizhe Li 001; Yanjun Gao (ACL (Findings), 2025)

Development and validation of the provider documentation summarization quality instrument for large language models. - Emma Croxford; Yanjun Gao; Nicholas Pellegrino; Karen K. Wong; Graham Wills; Elliot First; Miranda Schnier; Kyle Burton; Cris G. Ebby; Jillian Gorskic; Matthew Kalscheur; Samy Khalil; et al. (J. Am. Medical Informatics Assoc., 2025)

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. - Skatje Myers; Timothy A. Miller; Yanjun Gao; Matthew M. Churpek; Anoop M. Mayampurath; Dmitriy Dligach; Majid Afshar (J. Am. Medical Informatics Assoc., 2025)

LCD benchmark: long clinical document benchmark on mortality prediction for language models. - Wonjin Yoon; Shan Chen 004; Yanjun Gao; Zhanzhan Zhao; Dmitriy Dligach; Danielle S. Bitterman; Majid Afshar; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2025)

Zero-shot Large Language Models for Long Clinical Text Summarization with Temporal Reasoning. - Maya Kruse; Shiyue Hu; Nicholas Derby; Yifu Wu; Samantha Stonbraker; Bingsheng Yao; Dakuo Wang; Elizabeth M. Goldberg; Yanjun Gao (CoRR, 2025)

"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings. - Shihan Fu; Bingsheng Yao; Smit Desai; Yuqi Hu; Yuling Sun; Samantha Stonbraker; Yanjun Gao; Elizabeth M. Goldberg; Dakuo Wang (CoRR, 2025)

Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation. - Ruizhe Li 001; Chen Chen 075; Yuchen Hu; Yanjun Gao; Xi Wang 012; Emine Yilmaz (CoRR, 2025)

Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes. - Quintin Myers; Yanjun Gao (CoRR, 2025)

An Information-Theoretic Perspective on Multi-LLM Uncertainty Estimation. - Maya Kruse; Majid Afshar; Saksham Khatwani; Anoop M. Mayampurath; Guanhua Chen; Yanjun Gao (CoRR, 2025)