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
Hoifung Poon
General Manager, Real-World Evidence
出版物
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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
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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
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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
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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
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Exploring Scaling Laws for EHR Foundation Models
Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
August 2025
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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
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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
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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
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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
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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
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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
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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
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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, 巻20: pp. 1523-1532
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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
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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
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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, 巻abs/2311.01301
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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
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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
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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
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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
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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
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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, 巻4(4)
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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
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Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
ACL 2023 | May 2023
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Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
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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, 巻4(4)
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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
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Context-faithful Prompting for Large Language Models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
March 2023
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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
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Multilingual translation for zero-shot biomedical classification using BioTranslator
Hanwen Xu, Addie Woicik, Hoifung Poon, Russ B. Altman, Sheng Wang
Nature Communications | February 2023, 巻14
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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, 巻23(6)
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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
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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
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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
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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
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Targeted Adversarial Training for Natural Language Understanding
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
NAACL | June 2021
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Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang, Hoifung Poon
AAAI-21 | February 2021
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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
Microsoft による投稿
The participation report of our top non-manual entry in TREC COVID Round 2.
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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
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Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
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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
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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
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Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong, Hoifung Poon
NAACL 2019 | June 2019
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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang, Hoifung Poon
EMNLP 2018 | August 2018
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EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Maxim Grechkin, Hoifung Poon, Bill Howe
July 2018
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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
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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
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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
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Distant Supervision For Relation Extraction Beyond The Sentence Boundary
Fifteenth Conference of the European Association for Computational Linguistics (EACL), 2017 | September 2016
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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
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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
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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
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Grounded Semantic Parsing for Complex Knowledge Extraction
Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
NAACL HLT 2015 | June 2015
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Distant Supervision for Cancer Pathway Extraction from Text
Hoifung Poon, Kristina Toutanova, Chris Quirk
Pacific Symposium on Biocomputing, 2015 | January 2015
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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, 巻3
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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
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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%
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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)
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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
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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
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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
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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
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Exploring Scaling Laws for EHR Foundation Models
Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
August 2025
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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
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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
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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
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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
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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
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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, 巻20: pp. 1523-1532
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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
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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
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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, 巻abs/2311.01301
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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
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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
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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
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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, 巻4(4)
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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
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Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
ACL 2023 | May 2023
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Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
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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, 巻4(4)
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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
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Context-faithful Prompting for Large Language Models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
March 2023
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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
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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, 巻23(6)
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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
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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
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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
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Targeted Adversarial Training for Natural Language Understanding
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
NAACL | June 2021
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Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang, Hoifung Poon
AAAI-21 | February 2021
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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
Microsoft による投稿
The participation report of our top non-manual entry in TREC COVID Round 2.
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Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
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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
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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
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Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong, Hoifung Poon
NAACL 2019 | June 2019
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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang, Hoifung Poon
EMNLP 2018 | August 2018
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EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Maxim Grechkin, Hoifung Poon, Bill Howe
July 2018
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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, 巻23(6)
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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
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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
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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
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Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
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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
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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
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Grounded Semantic Parsing for Complex Knowledge Extraction
Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
NAACL HLT 2015 | June 2015
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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
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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
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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
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Exploring Scaling Laws for EHR Foundation Models
Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
August 2025
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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
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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
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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
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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
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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
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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, 巻20: pp. 1523-1532
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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
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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
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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, 巻abs/2311.01301
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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
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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
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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
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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, 巻4(4)
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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
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Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
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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, 巻4(4)
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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
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Context-faithful Prompting for Large Language Models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
March 2023
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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
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Multilingual translation for zero-shot biomedical classification using BioTranslator
Hanwen Xu, Addie Woicik, Hoifung Poon, Russ B. Altman, Sheng Wang
Nature Communications | February 2023, 巻14
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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
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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
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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
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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
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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
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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
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Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong, Hoifung Poon
NAACL 2019 | June 2019
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EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Maxim Grechkin, Hoifung Poon, Bill Howe
July 2018
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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
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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
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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
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Distant Supervision For Relation Extraction Beyond The Sentence Boundary
Fifteenth Conference of the European Association for Computational Linguistics (EACL), 2017 | September 2016
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Distant Supervision for Cancer Pathway Extraction from Text
Hoifung Poon, Kristina Toutanova, Chris Quirk
Pacific Symposium on Biocomputing, 2015 | January 2015
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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%
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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
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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
Microsoft による投稿
The participation report of our top non-manual entry in TREC COVID Round 2.
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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)
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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
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-
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Targeted Adversarial Training for Natural Language Understanding
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
NAACL | June 2021
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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
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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
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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, 巻3
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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
-
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
-
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
-
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
-
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
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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
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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
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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
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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
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
Context-faithful Prompting for Large Language Models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
March 2023
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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
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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
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Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
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EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Maxim Grechkin, Hoifung Poon, Bill Howe
July 2018
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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
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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
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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, 巻20: pp. 1523-1532
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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, 巻abs/2311.01301
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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, 巻4(4)
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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, 巻4(4)
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Multilingual translation for zero-shot biomedical classification using BioTranslator
Hanwen Xu, Addie Woicik, Hoifung Poon, Russ B. Altman, Sheng Wang
Nature Communications | February 2023, 巻14
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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, 巻23(6)
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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
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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
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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, 巻3
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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
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Exploring Scaling Laws for EHR Foundation Models
Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
August 2025
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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
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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
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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
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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
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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
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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
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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
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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
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Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
ACL 2023 | May 2023
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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
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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
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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
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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
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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
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Targeted Adversarial Training for Natural Language Understanding
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
NAACL | June 2021
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Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang, Hoifung Poon
AAAI-21 | February 2021
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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
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Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong, Hoifung Poon
NAACL 2019 | June 2019
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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang, Hoifung Poon
EMNLP 2018 | August 2018
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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
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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
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Distant Supervision For Relation Extraction Beyond The Sentence Boundary
Fifteenth Conference of the European Association for Computational Linguistics (EACL), 2017 | September 2016
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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
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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
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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
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Grounded Semantic Parsing for Complex Knowledge Extraction
Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
NAACL HLT 2015 | June 2015
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Distant Supervision for Cancer Pathway Extraction from Text
Hoifung Poon, Kristina Toutanova, Chris Quirk
Pacific Symposium on Biocomputing, 2015 | January 2015
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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
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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%
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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)
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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
Microsoft による投稿
The participation report of our top non-manual entry in TREC COVID Round 2.
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