Hoifung Poon - RankMe

145 papers A* 22A 2B 1Misc 1Journal 84Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation. CHI Jiachen Li, Amanda K. Hall, Ruican Rachel Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, T. Scott Saponas, Hao Qiu, Leonardo Schettini, Joseph Samuel Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel Christopher Codella, Hoifung Poon, Shrey Jain, Matthew P. Lungren, Eric Horvitz
2026	J	`jnl`	Learning Sparse Visual Representations via Spatial-Semantic Factorization. CoRR Theodore Zhengde Zhao, Sid Kiblawi, Jianwei Yang, Naoto Usuyama, Reuben Tan, Noel C. F. Codella, Tristan Naumann, Hoifung Poon, Mu Wei
2026	J	`jnl`	Scaling medical imaging report generation with multimodal reinforcement learning. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Sid Kiblawi, Wen-Wai Yim, Timothy Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
2025	J	`jnl`	A perspective for adapting generalist AI to specialized medical AI applications and their challenges. npj Digit. Medicine Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Luk Arbuckle, Devyani Biswal, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Cao Xiao, Jimeng Sun
2025	J	`jnl`	AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations. CoRR Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon
2025	J	`jnl`	ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation. CoRR Qin Liu, Jacob Dineen, James Y. Huang, Sheng Zhang, Hoifung Poon, Ben Zhou, Muhao Chen
2025	J	`jnl`	Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration. CoRR James Y. Huang, Sheng Zhang, Qianchu Liu, Guanghui Qin, Tinghui Zhu, Tristan Naumann, Muhao Chen, Hoifung Poon
2025	A*	`conf`	Boltzmann Attention Sampling for Image Analysis with Small Objects. CVPR Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei
2025	J	`jnl`	Boltzmann Attention Sampling for Image Analysis with Small Objects. CoRR Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei
2025	J	`jnl`	CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation. CoRR Alyssa Unell, Noel C. F. Codella, Sam Preston, Peniel N. 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
2025	J	`jnl`	Exploring Scaling Laws for EHR Foundation Models. CoRR Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
2025	—	`conf`	From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. NAACL (Long Papers) Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	Generative Medical Event Models Improve with Scale. CoRR 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
2025	J	`jnl`	Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning. CoRR Sheng Zhang, Qianchu Liu, Guanghui Qin, Tristan Naumann, Hoifung Poon
2025	J	`jnl`	MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. CoRR Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	A*	`conf`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. ICLR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning. CoRR Timothy Ossowski, Sheng Zhang, Qianchu Liu, Guanghui Qin, Reuben Tan, Tristan Naumann, Junjie Hu, Hoifung Poon
2025	J	`jnl`	Offset Unlearning for Large Language Models. Trans. Mach. Learn. Res. James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas. CoRR James Y. Huang, Wenxuan Zhou, Nan Xu, Fei Wang, Qin Liu, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection. CoRR Bangzheng Li, Fei Wang, Wenxuan Zhou, Nan Xu, Ben Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks. CoRR Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025	J	`jnl`	Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. CoRR Cliff Wong, Sam Preston, Qianchu Liu, Zelalem Gero, Jass Bagga, Sheng Zhang, Shrey Jain, Theodore Zhao, Yu Gu, Yanbo Xu, Sid Kiblawi, Roshanthi Weerasinghe, Rom S. Leidner, Kristina Young, Brian Piening, Carlo Bifulco, Tristan Naumann, Mu Wei, Hoifung Poon
2025	J	`jnl`	X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Timothy Ossowski, Yu Gu, Ying Jin, Sid Kiblawi, Sam Preston, Mu Wei, Paul Vozila, Tristan Naumann, Hoifung Poon
2024	J	`jnl`	A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. CoRR Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun
2024	J	`jnl`	Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2024	—	`conf`	Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects. MLHC Isabel Chien, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Richard E. Turner, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon, Javier González Hernández
2024	J	`jnl`	BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. CoRR Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang
2024	—	`conf`	Cautionary Tales on Synthetic Controls in Survival Analyses. CLeaR Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González
2024	—	`conf`	DocLens: Multi-aspect Fine-grained Medical Text Evaluation. ACL (1) Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé
2024	J	`jnl`	Foundation Models for Biomedical Image Segmentation: A Survey. CoRR Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaría-Pang, Hoifung Poon
2024	J	`jnl`	From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. CoRR Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. CoRR Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie L. Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John W. Garrett, Alan B. McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei
2024	J	`jnl`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	Offset Unlearning for Large Language Models. CoRR James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	—	`conf`	Pareto Optimal Learning for Estimating Large Language Model Errors. ACL (1) Theodore Zhao, Mu Wei, Joseph Preston, Hoifung Poon
2024	J	`jnl`	T-Rex: Text-assisted Retrosynthesis Prediction. CoRR Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang
2024	J	`jnl`	Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, 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 Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
2024	A*	`conf`	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
2024	A*	`conf`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	J	`jnl`	Automatic Calibration and Error Correction for Large Language Models via Pareto Optimal Self-Supervision. CoRR Theodore Zhao, Mu Wei, J. Samuel Preston, Hoifung Poon
2023	J	`jnl`	BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction. CoRR Cai Yang, Addie Woicik, Hoifung Poon, Sheng Wang
2023	J	`jnl`	BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
2023	J	`jnl`	Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	—	`conf`	Context-faithful Prompting for Large Language Models. EMNLP (Findings) Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	J	`jnl`	Context-faithful Prompting for Large Language Models. CoRR Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	—	`conf`	Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL (1) Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
2023	J	`jnl`	Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events. CoRR Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
2023	J	`jnl`	Enhancing Medical Text Evaluation with GPT-4. CoRR Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon
2023	A*	`conf`	Exploring the Boundaries of GPT-4 in Radiology. EMNLP Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023	J	`jnl`	Exploring the Boundaries of GPT-4 in Radiology. CoRR Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. 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 V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023	J	`jnl`	Fine-tuning large neural language models for biomedical natural language processing. Patterns Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2023	—	`conf`	Interactive Span Recommendation for Biomedical Text. ClinicalNLP@ACL Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston
2023	A*	`conf`	LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023	J	`jnl`	LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023	J	`jnl`	Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR 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
2023	A*	`conf`	Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
2023	A*	`conf`	Precision Health in the Age of Large Language Models. KDD Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández
2023	—	`conf`	Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. MLHC Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023	J	`jnl`	Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. CoRR Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023	J	`jnl`	Self-Verification Improves Few-Shot Clinical Information Extraction. CoRR Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
2023	J	`jnl`	TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. CoRR Javier González Hernández, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya V. Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023	J	`jnl`	Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision. Patterns Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023	J	`jnl`	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. CoRR Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
2023	J	`jnl`	When an Image is Worth 1, 024 x 1, 024 Words: A Case Study in Computational Pathology. CoRR Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
2022	J	`jnl`	BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022	J	`jnl`	BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022	J	`jnl`	Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. CoRR Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
2022	J	`jnl`	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. ACM Trans. Comput. Heal. Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2022	—	`conf`	Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2022	—	`conf`	Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. ECCV (36) Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
2022	J	`jnl`	Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. CoRR Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
2022	J	`jnl`	Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
2022	J	`jnl`	Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision. CoRR Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2021	J	`jnl`	Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning. CoRR Hoifung Poon, Hai Wang, Hunter Lang
2021	—	`ch.`	Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning. Neuro-Symbolic Artificial Intelligence Hoifung Poon, Hai Wang, Hunter Lang
2021	A*	`conf`	Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
2021	J	`jnl`	Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
2021	J	`jnl`	Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing. CoRR Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2021	J	`jnl`	Knowledge-Rich Self-Supervised Entity Linking. CoRR Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2021	—	`conf`	Modular Self-Supervision for Document-Level Relation Extraction. EMNLP (1) Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
2021	J	`jnl`	Modular Self-Supervision for Document-Level Relation Extraction. CoRR Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
2021	—	`ch.`	Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. Neuro-Symbolic Artificial Intelligence Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
2021	A*	`conf`	Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic. AAAI Hunter Lang, Hoifung Poon
2021	—	`conf`	Targeted Adversarial Training for Natural Language Understanding. NAACL-HLT Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
2021	J	`jnl`	Targeted Adversarial Training for Natural Language Understanding. CoRR Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
2020	J	`jnl`	Adversarial Training for Large Neural Language Models. CoRR Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
2020	J	`jnl`	CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
2020	J	`jnl`	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. CoRR Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2020	J	`jnl`	Self-supervised self-supervision by combining deep learning and probabilistic logic. CoRR Hunter Lang, Hoifung Poon
2020	—	`conf`	The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
2020	J	`jnl`	The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
2019	J	`jnl`	Augmenting subnetwork inference with information extracted from the scientific literature. PLoS Comput. Biol. Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
2019	—	`conf`	Document-Level N-ary Relation Extraction with Multiscale Representation Learning. NAACL-HLT (1) Robin Jia, Cliff Wong, Hoifung Poon
2019	J	`jnl`	Document-Level N-ary Relation Extraction with Multiscale Representation Learning. CoRR Robin Jia, Cliff Wong, Hoifung Poon
2019	—	`conf`	DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. BioNLP@ACL Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019	J	`jnl`	DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. CoRR Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2018	A*	`conf`	Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. EMNLP Hai Wang, Hoifung Poon
2018	J	`jnl`	Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. CoRR Hai Wang, Hoifung Poon
2018	A*	`conf`	EZLearn: Exploiting Organic Supervision in Automated Data Annotation. IJCAI Maxim Grechkin, Hoifung Poon, Bill Howe
2017	J	`jnl`	Cross-Sentence N-ary Relation Extraction with Graph LSTMs. CoRR Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
2017	J	`jnl`	Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Trans. Assoc. Comput. Linguistics Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
2017	—	`conf`	Distant Supervision for Relation Extraction beyond the Sentence Boundary. EACL (1) Chris Quirk, Hoifung Poon
2017	J	`jnl`	EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation. CoRR Maxim Grechkin, Hoifung Poon, Bill Howe
2017	—	`conf`	Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. NIPS Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
2017	J	`jnl`	Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. CoRR Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
2017	—	`conf`	NLP for Precision Medicine. ACL (Tutorial Abstracts) Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
2017	J	`jnl`	Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
2016	—	`conf`	Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk
2016	J	`jnl`	Distant Supervision for Relation Extraction beyond the Sentence Boundary. CoRR Chris Quirk, Hoifung Poon
2016	A*	`conf`	Unifying Logical and Statistical AI. LICS Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2015	Misc	`conf`	Distant Supervision for Cancer Pathway Extraction from Text. Pacific Symposium on Biocomputing Hoifung Poon, Kristina Toutanova, Chris Quirk
2015	—	`conf`	Grounded Semantic Parsing for Complex Knowledge Extraction. HLT-NAACL Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
2015	B	`conf`	Model Selection for Type-Supervised Learning with Application to POS Tagging. CoNLL Kristina Toutanova, Waleed Ammar, Pallavi Choudhury, Hoifung Poon
2015	A*	`conf`	Representing Text for Joint Embedding of Text and Knowledge Bases. EMNLP Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon
2014	J	`jnl`	Literome: PubMed-scale genomic knowledge base in the cloud. Bioinform. Hoifung Poon, Chris Quirk, Charlie DeZiel, David Heckerman
2013	—	`conf`	Grounded Unsupervised Semantic Parsing. ACL (1) Hoifung Poon
2013	J	`jnl`	Probabilistic Frame Induction CoRR Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
2013	—	`conf`	Probabilistic Frame Induction. HLT-NAACL Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
2012	J	`jnl`	Sum-Product Networks: A New Deep Architecture CoRR Hoifung Poon, Pedro M. Domingos
2012	—	`conf`	Unsupervised semantic parsing. MLSLP Hoifung Poon
2011	A	`conf`	Sum-Product Networks: A New Deep Architecture. UAI Hoifung Poon, Pedro M. Domingos
2011	—	`conf`	Sum-product networks: A new deep architecture. ICCV Workshops Hoifung Poon, Pedro M. Domingos
2010	—	`conf`	Joint Inference for Knowledge Extraction from Biomedical Literature. HLT-NAACL Hoifung Poon, Lucy Vanderwende
2010	—	`conf`	Machine Reading: A "Killer App" for Statistical Relational AI. StarAI@AAAI Hoifung Poon, Pedro M. Domingos
2010	—	`conf`	Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications. NAACL (Tutorial Abstracts) Hoifung Poon
2010	—	`ch.`	Markov Logic: A Language and Algorithms for Link Mining. Link Mining Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2010	A*	`conf`	Unsupervised Ontology Induction from Text. ACL Hoifung Poon, Pedro M. Domingos
2009	A	`conf`	Language ID in the Context of Harvesting Language Data off the Web. EACL Fei Xia, William D. Lewis, Hoifung Poon
2009	—	`conf`	Unsupervised Morphological Segmentation with Log-Linear Models. HLT-NAACL Hoifung Poon, Colin Cherry, Kristina Toutanova
2009	A*	`conf`	Unsupervised Semantic Parsing. EMNLP Hoifung Poon, Pedro M. Domingos
2008	A*	`conf`	A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC. AAAI Hoifung Poon, Pedro M. Domingos, Marc Sumner
2008	A*	`conf`	Joint Unsupervised Coreference Resolution with Markov Logic. EMNLP Hoifung Poon, Pedro M. Domingos
2008	—	`conf`	Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`ch.`	Markov Logic. Probabilistic Inductive Logic Programming Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`conf`	Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
2007	A*	`conf`	Joint Inference in Information Extraction. AAAI Hoifung Poon, Pedro M. Domingos
2006	A*	`conf`	Sound and Efficient Inference with Probabilistic and Deterministic Dependencies. AAAI Hoifung Poon, Pedro M. Domingos
2006	A*	`conf`	Unifying Logical and Statistical AI. AAAI Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2005	J	`jnl`	Nowhere zero 4-flow in regular matroids. J. Graph Theory Hong-Jian Lai, Xiangwen Li, Hoifung Poon
2005	J	`jnl`	Spanning Trails Connecting Given Edges. Graphs Comb. Hong-Jian Lai, Xiangwen Li, Hoifung Poon, Yongbin Ou
2003	J	`jnl`	Upper Bounds of Dynamic Chromatic Number. Ars Comb. Hong-Jian Lai, Bruce Montgomery, Hoifung Poon
2002	J	`jnl`	Cycle Cover Ratio of Regular Matroids. Eur. J. Comb. Hong-Jian Lai, Hoifung Poon