Hoifung Poon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
16
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. | Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2026 | CHI | Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation. | 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 |
| 2025 | CVPR | Boltzmann Attention Sampling for Image Analysis with Small Objects. | Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei |
| 2025 | CVPR | BiomedParse-V: Scaling Foundation Model for Universal Text-Guided Volumetric Biomedical Image Segmentation. | Theodore Zhao, Ho Hin Lee, Alberto Santamara-Pang, Noel C. F. Codella, Sid Kiblawi, Yu Gu, Yu Fang, Wen Xuan Teng, Naiteek Sangani, Ivan Tarapov, Matthew P. Lungren, Matthias Blondeel, Tristan Naumann, Naoto Usuyama, Sheng Wang, Paul Vozila, Hoifung Poon, Mu Wei |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | 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 | NAACL | From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. | Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | ACL | DocLens: Multi-aspect Fine-grained Medical Text Evaluation. | Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Ros |
| 2024 | ACL | Pareto Optimal Learning for Estimating Large Language Model Errors. | Theodore Zhao, Mu Wei, Joseph Preston, Hoifung Poon |
| 2024 | EMNLP | mDPO: Conditional Preference Optimization for Multimodal Large Language Models. | Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | ICLR | UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. | Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon |
| 2023 | ACL | Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. | Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon |
| 2023 | EMNLP | Exploring the Boundaries of GPT-4 in Radiology. | Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Prez-Garca, 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 | EMNLP | Context-faithful Prompting for Large Language Models. | Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2023 | ICLR | Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. | Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon |
| 2023 | KDD | Precision Health in the Age of Large Language Models. | Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier Gonzlez Hernndez |
| 2022 | ECCV | Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. | 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 | EMNLP | 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 |
| 2021 | AAAI | Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic. | Hunter Lang, Hoifung Poon |
| 2021 | EMNLP | Modular Self-Supervision for Document-Level Relation Extraction. | Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon |
| 2021 | KDD | Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. | 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 | NAACL | Targeted Adversarial Training for Natural Language Understanding. | Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi |
| 2020 | ACL | The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. | Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao |
| 2019 | NAACL | Document-Level N-ary Relation Extraction with Multiscale Representation Learning. | Robin Jia, Cliff Wong, Hoifung Poon |
| 2018 | EMNLP | Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. | Hai Wang, Hoifung Poon |
| 2018 | IJCAI | EZLearn: Exploiting Organic Supervision in Automated Data Annotation. | Maxim Grechkin, Hoifung Poon, Bill Howe |
| 2017 | ACL | NLP for Precision Medicine. | Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih |
| 2017 | EACL | Distant Supervision for Relation Extraction beyond the Sentence Boundary. | Chris Quirk, Hoifung Poon |
| 2016 | ACL | Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. | Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk |
| 2016 | LICS | Unifying Logical and Statistical AI. | Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2015 | CoNLL | Model Selection for Type-Supervised Learning with Application to POS Tagging. | Kristina Toutanova, Waleed Ammar, Pallavi Choudhury, Hoifung Poon |
| 2015 | EMNLP | Representing Text for Joint Embedding of Text and Knowledge Bases. | Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon |
| 2015 | NAACL | Grounded Semantic Parsing for Complex Knowledge Extraction. | Ankur P. Parikh, Hoifung Poon, Kristina Toutanova |
| 2015 | PSB | Distant Supervision for Cancer Pathway Extraction from Text. | Hoifung Poon, Kristina Toutanova, Chris Quirk |
| 2013 | ACL | Grounded Unsupervised Semantic Parsing. | Hoifung Poon |
| 2013 | NAACL | Probabilistic Frame Induction. | Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende |
| 2011 | UAI | Sum-Product Networks: A New Deep Architecture. | Hoifung Poon, Pedro M. Domingos |
| 2010 | AAAI | Machine Reading: A "Killer App" for Statistical Relational AI. | Hoifung Poon, Pedro M. Domingos |
| 2010 | ACL | Unsupervised Ontology Induction from Text. | Hoifung Poon, Pedro M. Domingos |
| 2010 | NAACL | Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications. | Hoifung Poon |
| 2010 | NAACL | Joint Inference for Knowledge Extraction from Biomedical Literature. | Hoifung Poon, Lucy Vanderwende |
| 2009 | EACL | Language ID in the Context of Harvesting Language Data off the Web. | Fei Xia, William D. Lewis, Hoifung Poon |
| 2009 | EMNLP | Unsupervised Semantic Parsing. | Hoifung Poon, Pedro M. Domingos |
| 2009 | NAACL | Unsupervised Morphological Segmentation with Log-Linear Models. | Hoifung Poon, Colin Cherry, Kristina Toutanova |
| 2008 | AAAI | A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC. | Hoifung Poon, Pedro M. Domingos, Marc Sumner |
| 2008 | EMNLP | Joint Unsupervised Coreference Resolution with Markov Logic. | Hoifung Poon, Pedro M. Domingos |
| 2008 | SSPR | Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. | Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang |
| 2007 | AAAI | Joint Inference in Information Extraction. | Hoifung Poon, Pedro M. Domingos |
| 2006 | AAAI | Unifying Logical and Statistical AI. | Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2006 | AAAI | Sound and Efficient Inference with Probabilistic and Deterministic Dependencies. | Hoifung Poon, Pedro M. Domingos |