2024
GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning.
IEEE J. Biomed. Health Informatics, January, 2024
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning.
CoRR, 2024
Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation.
CoRR, 2024
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records.
CoRR, 2024
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents.
CoRR, 2024
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL.
CoRR, 2024
EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients.
CoRR, 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.
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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
Self-Supervised Contrastive Forecasting.
CoRR, 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement.
CoRR, 2024
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
<i>ThreatKG: </i> An AI-Powered System for Automated Open-Source Cyber Threat Intelligence Gathering and Management.
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024
Self-Supervised Contrastive Learning for Long-term Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Multimodal Transformer with a Low-Computational-Cost Guarantee.
Proceedings of the IEEE International Conference on Acoustics, 2024
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History.
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.
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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
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding.
CoRR, 2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder.
CoRR, 2021
Natural Attribute-based Shift Detection.
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
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