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ORCIDYanjun Gao
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2020 – today
- 2025
[j12]Wonjin Yoon, Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller:
LCD benchmark: long clinical document benchmark on mortality prediction for language models. J. Am. Medical Informatics Assoc. 32(2): 285-295 (2025)- [j11]Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar:
Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. J. Am. Medical Informatics Assoc. 32(2): 357-364 (2025) - 2024
- [j10]Yanjun Gao
, Diwakar Mahajan, Özlem Uzuner, Meliha Yetisgen:
Clinical natural language processing for secondary uses. J. Biomed. Informatics 150: 104596 (2024) - [j9]Majid Afshar, Yanjun Gao, Deepak Gupta, Emma Croxford, Dina Demner-Fushman:
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models. J. Biomed. Informatics 157: 104707 (2024) - [c16]Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding:
Learning to Maximize Mutual Information for Chain-of-Thought Distillation. ACL (Findings) 2024: 6857-6868 - [c15]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP (Findings) 2024: 5414-5428 - [c14]Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj:
Panoramic Image Inpainting with Gated Convolution and Contextual Reconstruction Loss. ICASSP 2024: 4255-4259 - [i19]Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj:
Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss. CoRR abs/2402.02936 (2024) - [i18]Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding:
Learning to Maximize Mutual Information for Chain-of-Thought Distillation. CoRR abs/2403.03348 (2024) - [i17]Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman:
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR abs/2403.19511 (2024) - [i16]Ruizhe Li, Yanjun Gao:
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions. CoRR abs/2405.03205 (2024) - [i15]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR abs/2408.11854 (2024) - [i14]Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar:
Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies. CoRR abs/2409.15163 (2024) - [i13]Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills, Elliot First, Frank J. Liao, Cherodeep Goswami, Brian W. Patterson, Majid Afshar:
Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review. CoRR abs/2409.18170 (2024) - [i12]Bingsheng Yao, Yao Du, Yue Fu, Xuhai Xu, Yanjun Gao, Hong Yu, Dakuo Wang:
Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory. CoRR abs/2410.00174 (2024) - [i11]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar:
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. CoRR abs/2411.04962 (2024) - 2023
- [j8]Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller:
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31(1): 89-97 (2023) - [j7]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138: 104286 (2023) - [j6]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142: 104346 (2023) - [c13]Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL 2023: 78-85 - [c12]Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL 2023: 125-130 - [c11]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. BioNLP@ACL 2023: 461-467 - [i10]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR abs/2303.08038 (2023) - [i9]Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR abs/2306.04551 (2023) - [i8]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR abs/2306.05270 (2023) - [i7]Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar:
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR abs/2308.14321 (2023) - 2022
- [j5]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29(10): 1797-1806 (2022) - [j4]Meliha Yetisgen, Özlem Uzuner, Yanjun Gao, Diwakar Mahajan:
Call for papers: Special issue on clinical natural language processing for secondary use applications. J. Biomed. Informatics 133: 104152 (2022) - [j3]Yanjun Gao, Su Luan Wong, Mas Nida Md. Khambari, Nooreen Noordin:
A bibliometric analysis of online faculty professional development in higher education. Res. Pract. Technol. Enhanc. Learn. 17(1): 17 (2022) - [j2]Patricia Marybelle Davies, Rebecca J. Passonneau, Smaranda Muresan, Yanjun Gao:
Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study. IEEE Trans. Educ. 65(3): 373-383 (2022) - [c10]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar:
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING 2022: 2979-2991 - [c9]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar:
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC 2022: 5484-5493 - [i6]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar:
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR abs/2204.03035 (2022) - [i5]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar:
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR abs/2208.08408 (2022) - [i4]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR abs/2209.14901 (2022) - 2021
- [c8]Yanjun Gao, Ting-Hao Kenneth Huang, Rebecca J. Passonneau:
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences. ACL/IJCNLP (1) 2021: 3919-3931 - [c7]Yanjun Gao, Rebecca J. Passonneau:
Automated Assessment of Quality and Coverage of Ideas in Students' Source-Based Writing. AIED (2) 2021: 465-470 - [i3]Yanjun Gao, Ting-Hao Kenneth Huang, Rebecca J. Passonneau:
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences. CoRR abs/2106.12027 (2021) - [i2]Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang:
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation. CoRR abs/2109.04600 (2021) - [i1]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR abs/2112.05780 (2021)
2010 – 2019
- 2019
- [j1]Boce Xue, Baohua Chang, Guodong Peng, Yanjun Gao, Zhijie Tian, Dong Du, Guoqing Wang:
A Vision Based Detection Method for Narrow Butt Joints and a Robotic Seam Tracking System. Sensors 19(5): 1144 (2019) - [c6]Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Marybelle Davies, Smaranda Muresan, Rebecca J. Passonneau:
Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays. BEA@ACL 2019: 507-518 - [c5]Yanjun Gao, Chen Sun, Rebecca J. Passonneau:
Automated Pyramid Summarization Evaluation. CoNLL 2019: 404-418 - 2018
- [c4]Yanjun Gao, Patricia Marybelle Davies, Rebecca J. Passonneau:
Automated Content Analysis: A Case Study of Computer Science Student Summaries. BEA@NAACL-HLT 2018: 264-272 - [c3]Yanjun Gao, Andrew Warner, Rebecca J. Passonneau:
PyrEval: An Automated Method for Summary Content Analysis. LREC 2018 - 2017
- [c2]Yanjun Gao, Madhu C. Reddy, Bernard J. Jansen:
ShopWithMe!: Collaborative Information Searching and Shopping for Online Retail. HICSS 2017: 1-10 - 2016
- [c1]Yanjun Gao, Madhu C. Reddy, Bernard J. Jansen:
Shop Together, Search Together: Collaborative E-commerce. CHI Extended Abstracts 2016: 2081-2087
Coauthor Index
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last updated on 2025-02-02 23:23 CET by the dblp team
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