Edward Choi

Orcid: 0000-0002-5958-3509

According to our database1, Edward Choi authored at least 99 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning.
IEEE J. Biomed. Health Informatics, January, 2024

TrustSQL: A Reliability Benchmark for Text-to-SQL Models with Diverse Unanswerable Questions.
CoRR, 2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR, 2024

KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations.
CoRR, 2024

EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings.
CoRR, 2024

Multimodal Transformer With a Low-Computational-Cost Guarantee.
CoRR, 2024

KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge.
CoRR, 2024

Self-Supervised Contrastive Forecasting.
CoRR, 2024

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement.
CoRR, 2024

2023
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History.
CoRR, 2023

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes.
CoRR, 2023

VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception.
CoRR, 2023

Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records.
CoRR, 2023

Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays.
CoRR, 2023

Task Agnostic and Post-hoc Unseen Distribution Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Exploration Into Translation-Equivariant Image Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays.
Proceedings of the IEEE International Conference on Acoustics, 2023

Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports.
Proceedings of the IEEE International Conference on Acoustics, 2023

KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records.
Proceedings of the Conference on Health, Inference, and Learning, 2023

Towards the Practical Utility of Federated Learning in the Medical Domain.
Proceedings of the Conference on Health, Inference, and Learning, 2023

Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FactKG: Fact Verification via Reasoning on Knowledge Graphs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting the Importance of Amplifying Bias for Debiasing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training.
IEEE J. Biomed. Health Informatics, 2022

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management.
CoRR, 2022

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders.
CoRR, 2022

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge.
CoRR, 2022

Universal EHR Federated Learning Framework.
CoRR, 2022

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution.
CoRR, 2022

BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing.
CoRR, 2022

Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer.
CoRR, 2022

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Do Language Models Understand Measurements?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Specializing Multi-domain NMT via Penalizing Low Mutual Information.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Graph-Text Multi-Modal Pre-training for Medical Representation Learning.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation.
CoRR, 2021

Conditional Generation of Periodic Signals with Fourier-Based Decoder.
CoRR, 2021

Natural Attribute-based Shift Detection.
CoRR, 2021

Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding.
CoRR, 2021

Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training.
CoRR, 2021

A System for Automated Open-Source Threat Intelligence Gathering and Management.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Knowledge Graph-based Question Answering with Electronic Health Records.
Proceedings of the Machine Learning for Healthcare Conference, 2021

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture.
Proceedings of the Machine Learning for Health, 2021

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment.
CoRR, 2020

Neural Ordinary Differential Equations for Intervention Modeling.
CoRR, 2020

Analyzing the role of model uncertainty for electronic health records.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph., 2019

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records.
CoRR, 2019

Clinical Concept Extraction for Document-Level Coding.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018
Doctor AI: Interpretable deep learning for modeling electronic health records.
PhD thesis, 2018

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.
J. Am. Medical Informatics Assoc., 2018

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Compositional Obverter Communication Learning from Raw Visual Input.
Proceedings of the 6th International Conference on Learning Representations, 2018

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Using recurrent neural network models for early detection of heart failure onset.
J. Am. Medical Informatics Assoc., 2017

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.
CoRR, 2017

Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
CoRR, 2017

Causal Regularization.
CoRR, 2017

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks.
Proceedings of the Machine Learning for Health Care Conference, 2017

GRAM: Graph-based Attention Model for Healthcare Representation Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction.
CoRR, 2016

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism.
CoRR, 2016

Multi-layer Representation Learning for Medical Concepts.
CoRR, 2016

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
Proceedings of the 1st Machine Learning in Health Care, 2016

Multi-layer Representation Learning for Medical Concepts.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
CoRR, 2015

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health.
Proceedings of the AMIA 2015, 2015

System Architecture of CDC I-SMILE Recommendation Engine.
Proceedings of the AMIA 2015, 2015

I-SMILE: Similarity based Just-in-time Recommendation System for Public Health.
Proceedings of the AMIA 2015, 2015

2014
Balanced Korean Word Spacing with Structural SVM.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2011
Contactless fluorescence imaging with a CMOS image sensor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2007
CMOS Camera With In-Pixel Temporal Change Detection and ADC.
IEEE J. Solid State Circuits, 2007

Architecture of a µRFID with integrated antenna in 3D SOI-CMOS.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
System for deposition and characterization of polypyrrole/gold bilayer hinges.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Chip-scale magnetic sensing and control of nanoparticles and nanorods.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

CMOS pixel-level ADC with change detection.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006


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