Poon, Hoifung

19 publications

CVPR 2025 Boltzmann Attention Sampling for Image Analysis with Small Objects Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei

ICLR 2025 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

TMLR 2025 Offset Unlearning for Large Language Models James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen

MLHC 2024 Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects Isabel Chien, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Richard E. Turner, Roshanthi K. Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon, Javier González Hernández

CLeaR 2024 Cautionary Tales on Synthetic Controls in Survival Analyses Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González

ICLR 2024 UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon

NeurIPS 2023 LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao

ICLR 2023 Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon

MLHC 2023 Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

ICMLW 2023 Self-Verification Improves Few-Shot Clinical Information Extraction Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon

ECCV 2022 Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

AAAI 2021 Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic Hunter Lang, Hoifung Poon

IJCAI 2018 EZLearn: Exploiting Organic Supervision in Automated Data Annotation Maxim Grechkin, Hoifung Poon, Bill Howe

NeurIPS 2017 Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach Emmanouil Platanios, Hoifung Poon, Tom M. Mitchell, Eric J Horvitz

UAI 2011 Sum-Product Networks: A New Deep Architecture Hoifung Poon, Pedro M. Domingos

AAAI 2008 A General Method for Reducing the Complexity of Relational Inference and Its Application to MCMC Hoifung Poon, Pedro M. Domingos, Marc Sumner

AAAI 2007 Joint Inference in Information Extraction Hoifung Poon, Pedro M. Domingos

AAAI 2006 Sound and Efficient Inference with Probabilistic and Deterministic Dependencies Hoifung Poon, Pedro M. Domingos

AAAI 2006 Unifying Logical and Statistical AI Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla