Hoifung Poon

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 88

Top Venues

Publications

James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
Offset Unlearning for Large Language Models. CoRR (2024)
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
Foundation Models for Biomedical Image Segmentation: A Survey. CoRR (2024)
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
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. CoRR (2024)
Theodore Zhao, Mu Wei, Joseph Preston, Hoifung Poon
Pareto Optimal Learning for Estimating Large Language Model Errors. ACL (1) (2024)
Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González
Cautionary Tales on Synthetic Controls in Survival Analyses. CLeaR (2024)
Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé
DocLens: Multi-aspect Fine-grained Medical Text Evaluation. ACL (1) (2024)
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR (2024)
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
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR (2024)
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR (2024)
Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR (2024)
Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang
T-Rex: Text-assisted Retrosynthesis Prediction. CoRR (2024)
Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. CoRR (2024)
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
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR (2024)
Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. CoRR (2023)
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS (2023)
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
Context-faithful Prompting for Large Language Models. CoRR (2023)
Cai Yang, Addie Woicik, Hoifung Poon, Sheng Wang
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction. CoRR (2023)
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
Exploring the Boundaries of GPT-4 in Radiology. EMNLP (2023)
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. CoRR (2023)
Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR (2023)
Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon
Enhancing Medical Text Evaluation with GPT-4. CoRR (2023)
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
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision. Patterns 4 (4) (2023)
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR (2023)
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
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. CoRR (2023)
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
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR (2023)
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
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR (2023)
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
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics 11 (2023)
Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
When an Image is Worth 1, 024 x 1, 024 Words: A Case Study in Computational Pathology. CoRR (2023)
Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL (1) (2023)
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
Exploring the Boundaries of GPT-4 in Radiology. CoRR (2023)
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, Chris White, Eric Horvitz
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR (2023)
Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Fine-tuning large neural language models for biomedical natural language processing. Patterns 4 (4) (2023)
Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston
Interactive Span Recommendation for Biomedical Text. ClinicalNLP@ACL (2023)
Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events. CoRR (2023)
Theodore Zhao, Mu Wei, J. Samuel Preston, Hoifung Poon
Automatic Calibration and Error Correction for Large Language Models via Pareto Optimal Self-Supervision. CoRR (2023)
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
Self-Verification Improves Few-Shot Clinical Information Extraction. CoRR (2023)
Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. MLHC (2023)
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR (2023)
Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández
Precision Health in the Age of Large Language Models. KDD (2023)
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
Context-faithful Prompting for Large Language Models. EMNLP (Findings) (2023)
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23 (6) (2022)
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) (2022)
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
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. ECCV (36) (2022)
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
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision. CoRR (2022)
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
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. CoRR (2022)
Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. CoRR (2022)
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. ACM Trans. Comput. Heal. 3 (1) (2022)
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR (2022)
Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR (2022)
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
Targeted Adversarial Training for Natural Language Understanding. CoRR (2021)
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
Targeted Adversarial Training for Natural Language Understanding. NAACL-HLT (2021)
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
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD (2021)
Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
Modular Self-Supervision for Document-Level Relation Extraction. CoRR (2021)
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
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR (2021)
Hunter Lang, Hoifung Poon
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic. AAAI (2021)
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Knowledge-Rich Self-Supervised Entity Linking. CoRR (2021)
Hoifung Poon, Hai Wang, Hunter Lang
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning. CoRR (2021)
Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing. CoRR (2021)
Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
Modular Self-Supervision for Document-Level Relation Extraction. EMNLP (1) (2021)
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. CoRR (2020)
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) (2020)
Hunter Lang, Hoifung Poon
Self-supervised self-supervision by combining deep learning and probabilistic logic. CoRR (2020)
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
Adversarial Training for Large Neural Language Models. CoRR (2020)
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR (2020)
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR (2020)
Robin Jia, Cliff Wong, Hoifung Poon
Document-Level N-ary Relation Extraction with Multiscale Representation Learning. NAACL-HLT (1) (2019)
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. BioNLP@ACL (2019)
Robin Jia, Cliff Wong, Hoifung Poon
Document-Level N-ary Relation Extraction with Multiscale Representation Learning. CoRR (2019)
Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
Augmenting subnetwork inference with information extracted from the scientific literature. PLoS Comput. Biol. 15 (6) (2019)
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. CoRR (2019)
Maxim Grechkin, Hoifung Poon, Bill Howe
EZLearn: Exploiting Organic Supervision in Automated Data Annotation. IJCAI (2018)
Hai Wang, Hoifung Poon
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. EMNLP (2018)
Hai Wang, Hoifung Poon
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. CoRR (2018)
Maxim Grechkin, Hoifung Poon, Bill Howe
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation. CoRR (2017)
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. CoRR (2017)
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. CoRR (2017)
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Trans. Assoc. Comput. Linguistics 5 (2017)
Chris Quirk, Hoifung Poon
Distant Supervision for Relation Extraction beyond the Sentence Boundary. EACL (1) (2017)
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. NIPS (2017)
Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
NLP for Precision Medicine. ACL (Tutorial Abstracts) (2017)
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
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR (2017)
Chris Quirk, Hoifung Poon
Distant Supervision for Relation Extraction beyond the Sentence Boundary. CoRR (2016)
Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) (2016)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
Unifying Logical and Statistical AI. LICS (2016)
Kristina Toutanova, Waleed Ammar, Pallavi Choudhury, Hoifung Poon
Model Selection for Type-Supervised Learning with Application to POS Tagging. CoNLL (2015)
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon
Representing Text for Joint Embedding of Text and Knowledge Bases. EMNLP (2015)
Hoifung Poon, Kristina Toutanova, Chris Quirk
Distant Supervision for Cancer Pathway Extraction from Text. Pacific Symposium on Biocomputing (2015)
Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
Grounded Semantic Parsing for Complex Knowledge Extraction. HLT-NAACL (2015)
Hoifung Poon, Chris Quirk, Charlie DeZiel, David Heckerman
Literome: PubMed-scale genomic knowledge base in the cloud. Bioinform. 30 (19) (2014)
Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
Probabilistic Frame Induction. HLT-NAACL (2013)
Hoifung Poon
Grounded Unsupervised Semantic Parsing. ACL (1) (2013)
Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
Probabilistic Frame Induction CoRR (2013)
Hoifung Poon
Unsupervised semantic parsing. MLSLP (2012)
Hoifung Poon, Pedro M. Domingos
Sum-Product Networks: A New Deep Architecture CoRR (2012)
Hoifung Poon, Pedro M. Domingos
Sum-product networks: A new deep architecture. ICCV Workshops (2011)
Hoifung Poon, Pedro M. Domingos
Sum-Product Networks: A New Deep Architecture. UAI (2011)
Hoifung Poon, Pedro M. Domingos
Unsupervised Ontology Induction from Text. ACL (2010)
Hoifung Poon, Lucy Vanderwende
Joint Inference for Knowledge Extraction from Biomedical Literature. HLT-NAACL (2010)
Hoifung Poon, Pedro M. Domingos
Machine Reading: A "Killer App" for Statistical Relational AI. Statistical Relational Artificial Intelligence (2010)
Hoifung Poon
Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications. NAACL (Tutorial Abstracts) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hoifung Poon