Hoifung Poon

General Manager, Real-World Evidence

출판물

자료 보기:

- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  Preprint
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  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
- Generative Medical Event Models Improve with Scale
  
  Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
  
  August 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- 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
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication 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 동영상
- 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
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Rob Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Liden, Jianfeng Gao, Matthew P Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon
  
  January 2024
  
  Publication
- Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System
  
  A. Dowdell, R. Meng, A. Vita, B. Bapat, D. Hanes, Shu-Ching Chang, L. Harold, Cliff Wong, Hoifung Poon, Brock Schroeder, R. Weerasinghe, R. Leidner, W.J. Urba, Carlo Bifulco, B. Piening
  
  JCO Oncology Practice | January 2024, 제 20 권: pp. 1523-1532
  
  DOI Publication Publication Publication 동영상 동영상
- When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology
  
  Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
  
  December 2023
  
  DOI Publication Publication
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 제 abs/2311.01301 권
  
  DOI Publication Publication
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- 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, 제 4 권(4)
  
  Publication Publication
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  
  Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
  
  June 2023
  
  Publication 동영상 프로젝트
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
  
  Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
  
  ACL 2023 | May 2023
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  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, 제 4 권(4)
  
  Publication Publication
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication 프로젝트
- Context-faithful Prompting for Large Language Models
  
  Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
  
  March 2023
  
  Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  Publication
- Multilingual translation for zero-shot biomedical classification using BioTranslator
  
  Hanwen Xu, Addie Woicik, Hoifung Poon, Russ B. Altman, Sheng Wang
  
  Nature Communications | February 2023, 제 14 권
  
  Publication
- BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
  
  Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
  
  Briefings in Bioinformatics | November 2022, 제 23 권(6)
  
  DOI Publication Github
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 액세스 액세스 프로젝트
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  2021 Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 프로젝트
- Targeted Adversarial Training for Natural Language Understanding
  
  Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
  
  NAACL | June 2021
  
  Publication Github
- Self-supervised self-supervision by combining deep learning and probabilistic logic
  
  Hunter Lang, Hoifung Poon
  
  AAAI-21 | February 2021
  
  PDF
- CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
  
  Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
  
  MSR-TR-2020-49 | November 2020
  
  글쓴이 Microsoft
  
  The participation report of our top non-manual entry in TREC COVID Round 2.
  
  PDF 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 동영상 액세스
- Adversarial Training for Large Neural Language Models
  
  Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
  
  April 2020
  
  Publication Github 프로젝트
- DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
  
  Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
  
  BioNLP 2019 | August 2019
  
  PDF
- Augmenting subnetwork inference with information extracted from the scientific literature
  
  Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
  
  PLOS Computational Biology | June 2019
  
  Publication Publication
- Document-Level N-ary Relation Extraction with Multiscale Representation Learning
  
  Robin Jia, Cliff Wong, Hoifung Poon
  
  NAACL 2019 | June 2019
  
  Publication 액세스
- Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
  
  Hai Wang, Hoifung Poon
  
  EMNLP 2018 | August 2018
  
  Publication Github
- EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
  
  Maxim Grechkin, Hoifung Poon, Bill Howe
  
  July 2018
  
  PDF
- Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
  
  Emmanouil Antonios Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
  
  Neural Information Processing Systems | December 2017
  
  PDF PDF PDF Publication Publication
- Molecularly-targeted drug combinations demonstrate selective effectiveness for myeloid and lymphoid-derived hematologic malignancies
  
  Ravi Pandya, Bill Bolosky, Hoifung Poon, Brian Druker, OHSU, Jeffrey Tyner, OHSU
  
  Proceedings of the National Academy of Sciences | August 2017
  
  Publication
- Cross-Sentence N-ary Relation Extraction with Graph LSTMs
  
  Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Scott Yih
  
  Transactions of the Association for Computational Linguistics (TACL), 2017 | June 2017
  
  Publication Github 프로젝트
- Distant Supervision For Relation Extraction Beyond The Sentence Boundary
  
  Chris Quirk, Hoifung Poon
  
  Fifteenth Conference of the European Association for Computational Linguistics (EACL), 2017 | September 2016
  
  Publication 프로젝트
- Compositional Learning of Embeddings for Relation Paths in Knowledge Bases and Text
  
  Kristina Toutanova, Xi Victoria Lin, Scott Wen-tau Yih, Hoifung Poon, Chris Quirk
  
  ACL | June 2016
  
  Publication Publication 액세스
- Representing Text for Joint Embedding of Text and Knowledge Bases
  
  Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon
  
  Empirical Methods in Natural Language Processing (EMNLP) | September 2015
  
  Publication
- Model Selection for Type-Supervised Learning with application to POS Tagging
  
  Kristina Toutanova, Waleed Ammar, Pallavi Chourdhury, Hoifung Poon, Pallavi Choudhury
  
  The SIGNLL Conference on Computational Natural Language Learning | July 2015
  
  Publication
- Grounded Semantic Parsing for Complex Knowledge Extraction
  
  Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
  
  NAACL HLT 2015 | June 2015
  
  Publication Publication
- Distant Supervision for Cancer Pathway Extraction from Text
  
  Hoifung Poon, Kristina Toutanova, Chris Quirk
  
  Pacific Symposium on Biocomputing, 2015 | January 2015
  
  Publication 프로젝트
- An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
  
  Christoph Lippert, Jennifer Listgarten, Bob Davidson, Jeff Baxter, Hoifung Poon, Carl Kadie, David Heckerman
  
  Scientific Reports | January 2013, 제 3 권
  
  출판
- Probabilistic Frame Induction
  
  Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
  
  Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2013. | January 2013
  
  출판
- Joint Inference for Knowledge Extraction from Biomedical Literature
  
  Hoifung Poon, Lucy Vanderwende
  
  Proceedings of NAACL-HLT 2010 | January 2010
  
  Proceedings of NAACL-HLT 2010
  
  Acceptance rate: 31%
  
  출판
- Language ID in the Context of Harvesting Language Data off the Web
  
  Fei Xia, Will Lewis, Hoifung Poon
  
  Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009) | April 2009
  
  Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009)
  
  출판

- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  Preprint
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  Publication
- Generative Medical Event Models Improve with Scale
  
  Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
  
  August 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- 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
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication 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
- Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System
  
  A. Dowdell, R. Meng, A. Vita, B. Bapat, D. Hanes, Shu-Ching Chang, L. Harold, Cliff Wong, Hoifung Poon, Brock Schroeder, R. Weerasinghe, R. Leidner, W.J. Urba, Carlo Bifulco, B. Piening
  
  JCO Oncology Practice | January 2024, 제 20 권: pp. 1523-1532
  
  DOI Publication Publication Publication 동영상 동영상
- When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology
  
  Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
  
  December 2023
  
  DOI Publication Publication
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 제 abs/2311.01301 권
  
  DOI Publication Publication
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- 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, 제 4 권(4)
  
  Publication Publication
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  
  Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
  
  June 2023
  
  Publication 동영상 프로젝트
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
  
  Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
  
  ACL 2023 | May 2023
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  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, 제 4 권(4)
  
  Publication Publication
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication 프로젝트
- Context-faithful Prompting for Large Language Models
  
  Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
  
  March 2023
  
  Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  Publication
- BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
  
  Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
  
  Briefings in Bioinformatics | November 2022, 제 23 권(6)
  
  DOI Publication Github
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 액세스 액세스 프로젝트
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 프로젝트
- Targeted Adversarial Training for Natural Language Understanding
  
  Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
  
  NAACL | June 2021
  
  Publication Github
- Self-supervised self-supervision by combining deep learning and probabilistic logic
  
  Hunter Lang, Hoifung Poon
  
  AAAI-21 | February 2021
  
  PDF
- CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
  
  Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
  
  MSR-TR-2020-49 | November 2020
  
  글쓴이 Microsoft
  
  The participation report of our top non-manual entry in TREC COVID Round 2.
  
  PDF Publication
- Adversarial Training for Large Neural Language Models
  
  Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
  
  April 2020
  
  Publication Github 프로젝트
- DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
  
  Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
  
  BioNLP 2019 | August 2019
  
  PDF
- Augmenting subnetwork inference with information extracted from the scientific literature
  
  Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
  
  PLOS Computational Biology | June 2019
  
  Publication Publication
- Document-Level N-ary Relation Extraction with Multiscale Representation Learning
  
  Robin Jia, Cliff Wong, Hoifung Poon
  
  NAACL 2019 | June 2019
  
  Publication 액세스
- Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
  
  Hai Wang, Hoifung Poon
  
  EMNLP 2018 | August 2018
  
  Publication Github
- EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
  
  Maxim Grechkin, Hoifung Poon, Bill Howe
  
  July 2018
  
  PDF
- Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
  
  Emmanouil Antonios Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
  
  Neural Information Processing Systems | December 2017
  
  PDF PDF PDF Publication Publication
- Compositional Learning of Embeddings for Relation Paths in Knowledge Bases and Text
  
  Kristina Toutanova, Xi Victoria Lin, Scott Wen-tau Yih, Hoifung Poon, Chris Quirk
  
  ACL | June 2016
  
  Publication Publication 액세스
- Representing Text for Joint Embedding of Text and Knowledge Bases
  
  Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon
  
  Empirical Methods in Natural Language Processing (EMNLP) | September 2015
  
  Publication
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  Preprint
- 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 동영상
- 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
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Rob Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Liden, Jianfeng Gao, Matthew P Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon
  
  January 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
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  
  Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
  
  June 2023
  
  Publication 동영상 프로젝트
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 액세스 액세스 프로젝트
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  Preprint
- 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
- BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
  
  Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
  
  Briefings in Bioinformatics | November 2022, 제 23 권(6)
  
  DOI Publication Github
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  2021 Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 프로젝트
- Adversarial Training for Large Neural Language Models
  
  Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
  
  April 2020
  
  Publication Github 프로젝트
- Representing Text for Joint Embedding of Text and Knowledge Bases
  
  Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon
  
  Empirical Methods in Natural Language Processing (EMNLP) | September 2015
  
  Publication
- Model Selection for Type-Supervised Learning with application to POS Tagging
  
  Kristina Toutanova, Waleed Ammar, Pallavi Chourdhury, Hoifung Poon, Pallavi Choudhury
  
  The SIGNLL Conference on Computational Natural Language Learning | July 2015
  
  Publication
- Grounded Semantic Parsing for Complex Knowledge Extraction
  
  Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
  
  NAACL HLT 2015 | June 2015
  
  Publication Publication
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  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
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- 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
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication 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
- Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System
  
  A. Dowdell, R. Meng, A. Vita, B. Bapat, D. Hanes, Shu-Ching Chang, L. Harold, Cliff Wong, Hoifung Poon, Brock Schroeder, R. Weerasinghe, R. Leidner, W.J. Urba, Carlo Bifulco, B. Piening
  
  JCO Oncology Practice | January 2024, 제 20 권: pp. 1523-1532
  
  DOI Publication Publication Publication 동영상 동영상
- When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology
  
  Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
  
  December 2023
  
  DOI Publication Publication
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 제 abs/2311.01301 권
  
  DOI Publication Publication
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- 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, 제 4 권(4)
  
  Publication Publication
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  
  Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
  
  June 2023
  
  Publication 동영상 프로젝트
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  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, 제 4 권(4)
  
  Publication Publication
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication 프로젝트
- Context-faithful Prompting for Large Language Models
  
  Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
  
  March 2023
  
  Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  Publication
- Multilingual translation for zero-shot biomedical classification using BioTranslator
  
  Hanwen Xu, Addie Woicik, Hoifung Poon, Russ B. Altman, Sheng Wang
  
  Nature Communications | February 2023, 제 14 권
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 액세스 액세스 프로젝트
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  2021 Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 프로젝트
- 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 동영상 액세스
- DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
  
  Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
  
  BioNLP 2019 | August 2019
  
  PDF
- Augmenting subnetwork inference with information extracted from the scientific literature
  
  Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
  
  PLOS Computational Biology | June 2019
  
  Publication Publication
- Document-Level N-ary Relation Extraction with Multiscale Representation Learning
  
  Robin Jia, Cliff Wong, Hoifung Poon
  
  NAACL 2019 | June 2019
  
  Publication 액세스
- EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
  
  Maxim Grechkin, Hoifung Poon, Bill Howe
  
  July 2018
  
  PDF
- Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
  
  Emmanouil Antonios Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
  
  Neural Information Processing Systems | December 2017
  
  PDF PDF PDF Publication Publication
- Molecularly-targeted drug combinations demonstrate selective effectiveness for myeloid and lymphoid-derived hematologic malignancies
  
  Ravi Pandya, Bill Bolosky, Hoifung Poon, Brian Druker, OHSU, Jeffrey Tyner, OHSU
  
  Proceedings of the National Academy of Sciences | August 2017
  
  Publication
- Cross-Sentence N-ary Relation Extraction with Graph LSTMs
  
  Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Scott Yih
  
  Transactions of the Association for Computational Linguistics (TACL), 2017 | June 2017
  
  Publication Github 프로젝트
- Distant Supervision For Relation Extraction Beyond The Sentence Boundary
  
  Chris Quirk, Hoifung Poon
  
  Fifteenth Conference of the European Association for Computational Linguistics (EACL), 2017 | September 2016
  
  Publication 프로젝트
- Distant Supervision for Cancer Pathway Extraction from Text
  
  Hoifung Poon, Kristina Toutanova, Chris Quirk
  
  Pacific Symposium on Biocomputing, 2015 | January 2015
  
  Publication 프로젝트
- Joint Inference for Knowledge Extraction from Biomedical Literature
  
  Hoifung Poon, Lucy Vanderwende
  
  Proceedings of NAACL-HLT 2010 | January 2010
  
  Proceedings of NAACL-HLT 2010
  
  Acceptance rate: 31%
  
  출판
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 프로젝트
- CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
  
  Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
  
  MSR-TR-2020-49 | November 2020
  
  글쓴이 Microsoft
  
  The participation report of our top non-manual entry in TREC COVID Round 2.
  
  PDF Publication
- Language ID in the Context of Harvesting Language Data off the Web
  
  Fei Xia, Will Lewis, Hoifung Poon
  
  Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009) | April 2009
  
  Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009)
  
  출판
- Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
  
  Emmanouil Antonios Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
  
  Neural Information Processing Systems | December 2017
  
  PDF PDF PDF Publication Publication
- Targeted Adversarial Training for Natural Language Understanding
  
  Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
  
  NAACL | June 2021
  
  Publication Github
- Molecularly-targeted drug combinations demonstrate selective effectiveness for myeloid and lymphoid-derived hematologic malignancies
  
  Ravi Pandya, Bill Bolosky, Hoifung Poon, Brian Druker, OHSU, Jeffrey Tyner, OHSU
  
  Proceedings of the National Academy of Sciences | August 2017
  
  Publication
- Probabilistic Frame Induction
  
  Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
  
  Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2013. | January 2013
  
  출판
- An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
  
  Christoph Lippert, Jennifer Listgarten, Bob Davidson, Jeff Baxter, Hoifung Poon, Carl Kadie, David Heckerman
  
  Scientific Reports | January 2013, 제 3 권
  
  출판

- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  Preprint
- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  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
- 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
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Rob Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Liden, Jianfeng Gao, Matthew P Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon
  
  January 2024
  
  Publication
- When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology
  
  Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
  
  December 2023
  
  DOI Publication 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
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  
  Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
  
  June 2023
  
  Publication 동영상 프로젝트
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication
- Context-faithful Prompting for Large Language Models
  
  Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
  
  March 2023
  
  Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 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 동영상 액세스
- Adversarial Training for Large Neural Language Models
  
  Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
  
  April 2020
  
  Publication Github 프로젝트
- EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
  
  Maxim Grechkin, Hoifung Poon, Bill Howe
  
  July 2018
  
  PDF
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  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
- Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System
  
  A. Dowdell, R. Meng, A. Vita, B. Bapat, D. Hanes, Shu-Ching Chang, L. Harold, Cliff Wong, Hoifung Poon, Brock Schroeder, R. Weerasinghe, R. Leidner, W.J. Urba, Carlo Bifulco, B. Piening
  
  JCO Oncology Practice | January 2024, 제 20 권: pp. 1523-1532
  
  DOI Publication Publication Publication 동영상 동영상
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 제 abs/2311.01301 권
  
  DOI Publication 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, 제 4 권(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, 제 4 권(4)
  
  Publication Publication
- Multilingual translation for zero-shot biomedical classification using BioTranslator
  
  Hanwen Xu, Addie Woicik, Hoifung Poon, Russ B. Altman, Sheng Wang
  
  Nature Communications | February 2023, 제 14 권
  
  Publication
- BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
  
  Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
  
  Briefings in Bioinformatics | November 2022, 제 23 권(6)
  
  DOI Publication Github
- Augmenting subnetwork inference with information extracted from the scientific literature
  
  Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
  
  PLOS Computational Biology | June 2019
  
  Publication Publication
- Molecularly-targeted drug combinations demonstrate selective effectiveness for myeloid and lymphoid-derived hematologic malignancies
  
  Ravi Pandya, Bill Bolosky, Hoifung Poon, Brian Druker, OHSU, Jeffrey Tyner, OHSU
  
  Proceedings of the National Academy of Sciences | August 2017
  
  Publication
- An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
  
  Christoph Lippert, Jennifer Listgarten, Bob Davidson, Jeff Baxter, Hoifung Poon, Carl Kadie, David Heckerman
  
  Scientific Reports | January 2013, 제 3 권
  
  출판
- Generative Medical Event Models Improve with Scale
  
  Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
  
  August 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- 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 동영상
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 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
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- 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
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
  
  Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
  
  ACL 2023 | May 2023
  
  Publication
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication 프로젝트
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 액세스 액세스 프로젝트
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  2021 Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 프로젝트
- Targeted Adversarial Training for Natural Language Understanding
  
  Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
  
  NAACL | June 2021
  
  Publication Github
- Self-supervised self-supervision by combining deep learning and probabilistic logic
  
  Hunter Lang, Hoifung Poon
  
  AAAI-21 | February 2021
  
  PDF
- DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
  
  Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
  
  BioNLP 2019 | August 2019
  
  PDF
- Document-Level N-ary Relation Extraction with Multiscale Representation Learning
  
  Robin Jia, Cliff Wong, Hoifung Poon
  
  NAACL 2019 | June 2019
  
  Publication 액세스
- Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
  
  Hai Wang, Hoifung Poon
  
  EMNLP 2018 | August 2018
  
  Publication Github
- Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
  
  Emmanouil Antonios Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
  
  Neural Information Processing Systems | December 2017
  
  PDF PDF PDF Publication Publication
- Cross-Sentence N-ary Relation Extraction with Graph LSTMs
  
  Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Scott Yih
  
  Transactions of the Association for Computational Linguistics (TACL), 2017 | June 2017
  
  Publication Github 프로젝트
- Distant Supervision For Relation Extraction Beyond The Sentence Boundary
  
  Chris Quirk, Hoifung Poon
  
  Fifteenth Conference of the European Association for Computational Linguistics (EACL), 2017 | September 2016
  
  Publication 프로젝트
- Compositional Learning of Embeddings for Relation Paths in Knowledge Bases and Text
  
  Kristina Toutanova, Xi Victoria Lin, Scott Wen-tau Yih, Hoifung Poon, Chris Quirk
  
  ACL | June 2016
  
  Publication Publication 액세스
- Representing Text for Joint Embedding of Text and Knowledge Bases
  
  Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon
  
  Empirical Methods in Natural Language Processing (EMNLP) | September 2015
  
  Publication
- Model Selection for Type-Supervised Learning with application to POS Tagging
  
  Kristina Toutanova, Waleed Ammar, Pallavi Chourdhury, Hoifung Poon, Pallavi Choudhury
  
  The SIGNLL Conference on Computational Natural Language Learning | July 2015
  
  Publication
- Grounded Semantic Parsing for Complex Knowledge Extraction
  
  Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
  
  NAACL HLT 2015 | June 2015
  
  Publication Publication
- Distant Supervision for Cancer Pathway Extraction from Text
  
  Hoifung Poon, Kristina Toutanova, Chris Quirk
  
  Pacific Symposium on Biocomputing, 2015 | January 2015
  
  Publication 프로젝트
- Probabilistic Frame Induction
  
  Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
  
  Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2013. | January 2013
  
  출판
- Joint Inference for Knowledge Extraction from Biomedical Literature
  
  Hoifung Poon, Lucy Vanderwende
  
  Proceedings of NAACL-HLT 2010 | January 2010
  
  Proceedings of NAACL-HLT 2010
  
  Acceptance rate: 31%
  
  출판
- Language ID in the Context of Harvesting Language Data off the Web
  
  Fei Xia, Will Lewis, Hoifung Poon
  
  Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009) | April 2009
  
  Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009)
  
  출판
- CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
  
  Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
  
  MSR-TR-2020-49 | November 2020
  
  글쓴이 Microsoft
  
  The participation report of our top non-manual entry in TREC COVID Round 2.
  
  PDF Publication

Hoifung Poon

출판물

Scaling medical imaging report generation with multimodal reinforcement learning

Multimodal AI generates virtual population for tumor microenvironment modeling

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations

Generative Medical Event Models Improve with Scale

Exploring Scaling Laws for EHR Foundation Models

LLaVA-Rad MIMIC-CXR Annotations

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

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

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System

When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Exploring the Boundaries of GPT-4 in Radiology

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

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction

Self-Verification Improves Few-Shot Clinical Information Extraction

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

Compositional Zero-Shot Domain Transfer with Text-to-Text Models

Context-faithful Prompting for Large Language Models

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing

Multilingual translation for zero-shot biomedical classification using BioTranslator

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Knowledge-Rich Self-Supervision for Biomedical Entity Linking

Modular Self-Supervision for Document-Level Relation Extraction

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Targeted Adversarial Training for Natural Language Understanding

Self-supervised self-supervision by combining deep learning and probabilistic logic

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Adversarial Training for Large Neural Language Models

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.

Augmenting subnetwork inference with information extracted from the scientific literature

Document-Level N-ary Relation Extraction with Multiscale Representation Learning

Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

Molecularly-targeted drug combinations demonstrate selective effectiveness for myeloid and lymphoid-derived hematologic malignancies

Cross-Sentence N-ary Relation Extraction with Graph LSTMs

Distant Supervision For Relation Extraction Beyond The Sentence Boundary

Compositional Learning of Embeddings for Relation Paths in Knowledge Bases and Text

Representing Text for Joint Embedding of Text and Knowledge Bases

Model Selection for Type-Supervised Learning with application to POS Tagging

Grounded Semantic Parsing for Complex Knowledge Extraction

Distant Supervision for Cancer Pathway Extraction from Text

An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data

Probabilistic Frame Induction

Joint Inference for Knowledge Extraction from Biomedical Literature

Language ID in the Context of Harvesting Language Data off the Web

Scaling medical imaging report generation with multimodal reinforcement learning

Multimodal AI generates virtual population for tumor microenvironment modeling

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Generative Medical Event Models Improve with Scale

Exploring Scaling Laws for EHR Foundation Models

LLaVA-Rad MIMIC-CXR Annotations

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

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

Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System

When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Exploring the Boundaries of GPT-4 in Radiology

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

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day