Hoifung Poon

Orcid: 0000-0002-9067-0918

According to our database1, Hoifung Poon authored at least 86 papers between 2002 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries.
CoRR, 2024

T-Rex: Text-assisted Retrosynthesis Prediction.
CoRR, 2024

Foundation Models for Biomedical Image Segmentation: A Survey.
CoRR, 2024

2023
Fine-tuning large neural language models for biomedical natural language processing.
Patterns, April, 2023

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.
Patterns, April, 2023

When an Image is Worth 1, 024 x 1, 024 Words: A Case Study in Computational Pathology.
CoRR, 2023

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.
CoRR, 2023

Enhancing Medical Text Evaluation with GPT-4.
CoRR, 2023

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models.
CoRR, 2023

BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.
CoRR, 2023

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
CoRR, 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
CoRR, 2023

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events.
CoRR, 2023

Automatic Calibration and Error Correction for Large Language Models via Pareto Optimal Self-Supervision.
CoRR, 2023

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
CoRR, 2023

Self-Verification Improves Few-Shot Clinical Information Extraction.
CoRR, 2023

Compositional Zero-Shot Domain Transfer with Text-to-Text Models.
CoRR, 2023

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing.
CoRR, 2023

BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction.
CoRR, 2023

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Precision Health in the Age of Large Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Context-faithful Prompting for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023


Continual Contrastive Finetuning Improves Low-Resource Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Interactive Span Recommendation for Biomedical Text.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
BioGPT: generative pre-trained transformer for biomedical text generation and mining.
Briefings Bioinform., November, 2022

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.
ACM Trans. Comput. Heal., 2022

Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision.
CoRR, 2022

Knowledge-Rich Self-Supervision for Biomedical Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Knowledge-Rich Self-Supervised Entity Linking.
CoRR, 2021

Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning.
CoRR, 2021

Targeted Adversarial Training for Natural Language Understanding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Modular Self-Supervision for Document-Level Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search.
CoRR, 2020

Adversarial Training for Large Neural Language Models.
CoRR, 2020

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Augmenting subnetwork inference with information extracted from the scientific literature.
PLoS Comput. Biol., 2019

Document-Level N-ary Relation Extraction with Multiscale Representation Learning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018
EZLearn: Exploiting Organic Supervision in Automated Data Annotation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs.
Trans. Assoc. Comput. Linguistics, 2017

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.
CoRR, 2017

EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation.
CoRR, 2017

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distant Supervision for Relation Extraction beyond the Sentence Boundary.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

NLP for Precision Medicine.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Unifying Logical and Statistical AI.
Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, 2016

Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Distant Supervision for Cancer Pathway Extraction from Text.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Grounded Semantic Parsing for Complex Knowledge Extraction.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Representing Text for Joint Embedding of Text and Knowledge Bases.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Model Selection for Type-Supervised Learning with Application to POS Tagging.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014
Literome: PubMed-scale genomic knowledge base in the cloud.
Bioinform., 2014

2013
Probabilistic Frame Induction.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Grounded Unsupervised Semantic Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Unsupervised semantic parsing.
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012

2011
Sum-Product Networks: A New Deep Architecture.
Proceedings of the UAI 2011, 2011

2010
Joint Inference for Knowledge Extraction from Biomedical Literature.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 1, 2010, Los Angeles, California, USA, 2010

Unsupervised Ontology Induction from Text.
Proceedings of the ACL 2010, 2010

Machine Reading: A "Killer App" for Statistical Relational AI.
Proceedings of the Statistical Relational Artificial Intelligence, 2010

Markov Logic: A Language and Algorithms for Link Mining.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Unsupervised Morphological Segmentation with Log-Linear Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Unsupervised Semantic Parsing.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Language ID in the Context of Harvesting Language Data off the Web.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

2008
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition.
Proceedings of the Structural, 2008

Just Add Weights: Markov Logic for the Semantic Web.
Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

Markov Logic.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Joint Unsupervised Coreference Resolution with Markov Logic.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Joint Inference in Information Extraction.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies.
Proceedings of the Proceedings, 2006

Unifying Logical and Statistical AI.
Proceedings of the Proceedings, 2006

2005
Nowhere zero 4-flow in regular matroids.
J. Graph Theory, 2005

Spanning Trails Connecting Given Edges.
Graphs Comb., 2005

2003
Upper Bounds of Dynamic Chromatic Number.
Ars Comb., 2003

2002
Cycle Cover Ratio of Regular Matroids.
Eur. J. Comb., 2002


  Loading...