Yu (Aiden) Gu

Principal Applied Scientist

论文与出版物

查看方式：

- AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations
  
  Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon
  
  September 2025
  
  Publication
- Magma: A Foundation Model for Multimodal AI Agents
  
  Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao
  
  February 2025
  
  Publication 视频 Access
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  Publication
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  Publication
- 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
  
  October 2023
  
  Publication
- UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
  
  Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
  
  ICLR 2024 | September 2023
  
  Publication
- 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
  
  August 2023
  
  Publication
- 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
  
  July 2023
  
  Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob 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, 第 4 卷(4)
  
  Publication Publication
- 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
  
  August 2020
  
  PDF 视频 Access

- AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations
  
  Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon
  
  September 2025
  
  Publication
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  Publication
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  Publication
- 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
  
  August 2023
  
  Publication
- 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
  
  July 2023
  
  Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob 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, 第 4 卷(4)
  
  Publication Publication
- 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
  
  August 2020
  
  PDF 视频 Access
- Magma: A Foundation Model for Multimodal AI Agents
  
  Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao
  
  February 2025
  
  Publication 视频 Access
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  Publication
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  Publication
- UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
  
  Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
  
  ICLR 2024 | September 2023
  
  Publication
- 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
  
  July 2023
  
  Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob 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, 第 4 卷(4)
  
  Publication Publication
- Magma: A Foundation Model for Multimodal AI Agents
  
  Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao
  
  February 2025
  
  Publication 视频 Access
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  Publication
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  Publication
- 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
  
  October 2023
  
  Publication
- UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
  
  Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
  
  ICLR 2024 | September 2023
  
  Publication

- AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations
  
  Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon
  
  September 2025
  
  Publication
- Magma: A Foundation Model for Multimodal AI Agents
  
  Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao
  
  February 2025
  
  Publication 视频 Access
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  Publication
- 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
  
  October 2023
  
  Publication
- 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
  
  August 2020
  
  PDF 视频 Access
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- 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
  
  August 2023
  
  Publication
- 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
  
  July 2023
  
  Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob 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, 第 4 卷(4)
  
  Publication Publication
- UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
  
  Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
  
  ICLR 2024 | September 2023
  
  Publication

Yu (Aiden) Gu

论文与出版物

AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations

Magma: A Foundation Model for Multimodal AI Agents

LLaVA-Rad MIMIC-CXR Annotations

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

A whole-slide foundation model for digital pathology from real-world data

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

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

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

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

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

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

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

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations

LLaVA-Rad MIMIC-CXR Annotations

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

A whole-slide foundation model for digital pathology from real-world data

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

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

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

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

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

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Magma: A Foundation Model for Multimodal AI Agents

LLaVA-Rad MIMIC-CXR Annotations

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

A whole-slide foundation model for digital pathology from real-world data

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

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

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

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

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

Magma: A Foundation Model for Multimodal AI Agents

LLaVA-Rad MIMIC-CXR Annotations

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

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

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

AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations

Magma: A Foundation Model for Multimodal AI Agents

LLaVA-Rad MIMIC-CXR Annotations

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

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

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

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

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

A whole-slide foundation model for digital pathology from real-world data

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

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

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