Hoifung Poon — all works
- Breaching the curation bottleneck with human-machine reading symbiosis ↗medRxiv · no summary yetCliff Wong et al.2021 · 2 citations
- Markov logic for machine reading ↗no summary yetPedro Domingos, Hoifung Poon2011 · 2 citations
- Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications ↗NAACL HLT 2010 Tutorial Abstracts · no summary yetPoon, Hoifung2010 · 2 citations
- Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation ↗CHI Conference on Human Factors in Computing Systems · no summary yetJiachen Li et al.2026 · 1 citation
- GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis ↗arXiv:2607.18218 · no summary yetNaoto Usuyama et al.2026 · 1 citation
- T-Rex: Text-assisted Retrosynthesis Prediction ↗arXiv (Cornell University) · no summary yetYifeng Liu et al.2024 · 1 citation
- Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning ↗arXiv (Cornell University) · no summary yetHoifung Poon, Hai Wang, Hunter Lang2021 · 1 citation
- Model Selection for Type-Supervised Learning with Application to POS Tagging ↗Proceedings of the Nineteenth Conference on Computational Natural Language Learning · no summary yetKristina Toutanova et al.2015 · 1 citation
- Unsupervised semantic parsing. ↗no summary yetHoifung Poon2012 · 1 citation
- Just add weights ↗no summary yetPedro Domingos et al.2008 · 1 citation
- Large Language Models are Approximate Survival Estimators ↗arXiv (Cornell University) · no summary yetJuan Manuel Zambrano Chaves et al.2026
- MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models ↗arXiv (Cornell University) · no summary yetHyunjae Kim et al.2026
- HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026
- Scaling medical imaging report generation with multimodal reinforcement learning ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026
- CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents ↗arXiv (Cornell University) · no summary yetTimothy Ossowski et al.2026
- Spatial Biology as a Clinical Decision Framework for Precision Oncology ↗SSRN Electronic Journal · no summary yetAkif Burak Tosun et al.2026
- Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models ↗arXiv (Cornell University) · no summary yetYuxin Xiao et al.2026
- Building Agent Harnesses for Scientific Curation from Multimodal Sources ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2026
- Learning Sparse Visual Representations via Spatial-Semantic Factorization ↗arXiv (Cornell University) · no summary yetTheodore Zhengde Zhao et al.2026
- Video Models Can Reason with Verifiable Rewards ↗arXiv (Cornell University) · no summary yetTinghui Zhu et al.2026
- Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection ↗arXiv (Cornell University) · no summary yetLi, Bangzheng et al.2025
- ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation ↗arXiv (Cornell University) · no summary yetQin Liu et al.2025
- AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations ↗arXiv (Cornell University) · no summary yetDing, Shuhan et al.2025
- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation ↗arXiv (Cornell University) · no summary yetAlyssa Unell et al.2025
- Breaching the Curation Bottleneck with Human-Machine Reading Symbiosis ↗SSRN Electronic Journal · no summary yetTaofei Yin et al.2024
- Interactive Span Recommendation for Biomedical Text ↗Proceedings of the 5th Clinical Natural Language Processing Workshop · no summary yetLouis Blankemeier et al.2023
- BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction ↗arXiv (Cornell University) · no summary yetYang, Cai et al.2023
- Cautionary Tales on Synthetic Controls in Survival Analyses ↗arXiv (Cornell University) · no summary yetAlicia Curth et al.2023
- Chapter 14. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning ↗Frontiers in artificial intelligence and applications · no summary yetHoifung Poon, Hai Wang, Hunter Lang2021
- Comprehensive Genomic Profiling in Patients with Advanced Cancer in a Large US Healthcare System ↗no summary yetBrian Piening et al.2020
- Augmenting subnetwork inference with information extracted from the scientific literature ↗PLoS Computational Biology · no summary yetSid Kiblawi et al.2019
- NLP for Precision Medicine ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yetHoifung Poon et al.2017
- Deep Learning for Semantic Parsing ↗no summary yetHoifung Poon, Pedro Domingos2015
- Databases and ontologies Advance Access publication June 17, 2014 Literome: PubMed-scale genomic knowledge base in the cloud ↗no summary yetHoifung Poon et al.2014
- Unsupervised Language Learning: Semantic Parsing and Beyond ↗no summary yetHoifung Poon, Pedro Domingos2014
- Sum-Product Networks for Deep Learning ↗no summary yetHoifung Poon, Pedro Domingos2013
- Theme IL-10 Theme Cause ↗no summary yetHoifung Poon et al.2013
- The alchemy system for statistical relational ai: User manual. BIBLIOGRAPHY ↗no summary yetStanley Kok et al.2010
- Unsupervised Semantic Parsing (USP) User Guide ↗no summary yetHoifung Poon2009
- M.: A general method for reducing the complexity of relational inference and its application to MCMC. AAAI’08. Pp 1075–1080 ↗no summary yetHoifung Poon, Pedro Domingos, Marc Sumner2008
- A dual version of Brook's coloring theorem ↗no summary yetHong‐Jian Lai, Hoifung Poon2003
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