Hoifung Poon
Orcid: 0000-0002-9067-0918
According to our database1,
Hoifung Poon
authored at least 95 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.
CoRR, 2024
CoRR, 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.
CoRR, 2024
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024
CoRR, 2024
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Causal Learning and Reasoning, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Patterns, April, 2023
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.
Patterns, April, 2023
Trans. Assoc. Comput. Linguistics, 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
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
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
CoRR, 2023
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
CoRR, 2021
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
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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
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
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Trans. Assoc. Comput. Linguistics, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
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
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015
2014
2013
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
2012
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012
2011
2010
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010
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
Proceedings of the Statistical Relational Artificial Intelligence, 2010
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010
2009
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
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
Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
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
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Proceedings of the Proceedings, 2006
2005
2003
Upper Bounds of Dynamic Chromatic Number.
Ars Comb., 2003
2002