Wei-Hung Weng

Orcid: 0000-0003-2232-0390

According to our database1, Wei-Hung Weng authored at least 36 papers between 2015 and 2024.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


HeAR - Health Acoustic Representations.
CoRR, 2024

Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals.
CoRR, 2023

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.
CoRR, 2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning.
CoRR, 2023

Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View.
CoRR, 2021

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Determining Follow-Up Imaging Study Using Radiology Reports.
J. Digit. Imaging, 2020

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.
CoRR, 2020

Entity-Enriched Neural Models for Clinical Question Answering.
CoRR, 2020

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging.
CoRR, 2020

Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification.
CoRR, 2020

Addressing the Real-world Class Imbalance Problem in Dermatology.
Proceedings of the Machine Learning for Health Workshop, 2020

CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Entity-Enriched Neural Models for Clinical Question Answering.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

Human-centric Metric for Accelerating Pathology Reports Annotation.
CoRR, 2019

Representation Learning for Electronic Health Records.
CoRR, 2019

Machine Learning for Clinical Predictive Analytics.
CoRR, 2019

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction.
CoRR, 2019

Publicly Available Clinical BERT Embeddings.
CoRR, 2019

Park: An Open Platform for Learning-Augmented Computer Systems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Clinically Accurate Chest X-Ray Report Generation.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Unsupervised Clinical Language Translation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Unsupervised Speech-to-text Translation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability.
CoRR, 2018

Unsupervised Multimodal Representation Learning across Medical Images and Reports.
CoRR, 2018

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment.
CoRR, 2018

Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.
BMC Medical Informatics Decis. Mak., 2017

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients.
CoRR, 2017

Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval.
CoRR, 2017

Classifiers for Identifying the Medical Specialty of Clinical Documents.
Proceedings of the Summit on Clinical Research Informatics, 2017

Computing Performance Analysis on Clinical Document-level Classification.
Proceedings of the AMIA 2017, 2017

Improving the Workflow of Curbside Consultation by Using Unstructured Clinical Notes - a Natural Language and Machine Learning-based Approach.
Proceedings of the AMIA 2016, 2016

Nuclei location enhancement based on improved efficient ellipse Hough transform for third harmonic generation microscopy imaging.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015