Yu Gu

According to our database, Yu Gu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Foundation Models for Biomedical Image Segmentation: A Survey.

Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaría-Pang, Hoifung Poon

CoRR, 2024

2023

Fine-tuning large neural language models for biomedical natural language processing.

Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

Patterns, April, 2023

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.

Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon

Patterns, April, 2023

BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.

Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon

CoRR, 2023

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.

Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon

CoRR, 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.

Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

CoRR, 2023

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events.

Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon

CoRR, 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.

Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

Proceedings of the Machine Learning for Healthcare Conference, 2023

Interactive Span Recommendation for Biomedical Text.

Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.

Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

ACM Trans. Comput. Heal., 2022

2020

Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.

Long Chen, Yu Gu, Xin Ji, Zhiyong Sun, Haodan Li, Yuan Gao, Yang Huang

J. Am. Medical Informatics Assoc., 2020

Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.

Long Chen, Wenbo Fu, Yu Gu, Zhiyong Sun, Haodan Li, Enyu Li, Li Jiang, Yuan Gao, Yang Huang

J. Am. Medical Informatics Assoc., 2020

2019

Clinical trial cohort selection based on multi-level rule-based natural language processing system.

Long Chen, Yu Gu, Xin Ji, Chao Lou, Zhiyong Sun, Haodan Li, Yuan Gao, Yang Huang

J. Am. Medical Informatics Assoc., 2019