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2020 – today
- 2024
[j6]Kyunghoon Hur
, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi:
GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. IEEE J. Biomed. Health Informatics 28(1): 502-513 (2024)- [c65]Sunjun Kweon, Junu Kim, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi:
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes. ACL (Findings) 2024: 5148-5168 - [c64]Jiyoung Lee, Minwoo Kim, Seungho Kim, Junghwan Kim, Seunghyun Won, Hwaran Lee, Edward Choi:
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge. ACL (Findings) 2024: 11177-11213 - [c63]Jaehee Ryu, Seonhee Cho, Gyubok Lee, Edward Choi:
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records. ACL (Findings) 2024: 16388-16407 - [c62]Gyubok Lee, Sunjun Kweon, Seongsu Bae, Edward Choi:
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records. ClinicalNLP@NAACL 2024: 644-654 - [c61]Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Edward Choi:
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models. CIKM 2024: 394-403 - [c60]Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo:
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. EMNLP (Findings) 2024: 9000-9023 - [c59]Sungjin Park, Edward Choi:
Multimodal Transformer with a Low-Computational-Cost Guarantee. ICASSP 2024: 6125-6129 - [c58]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR 2024 - [i78]Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad:
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. CoRR abs/2401.14107 (2024) - [i77]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Forecasting. CoRR abs/2402.02023 (2024) - [i76]Jiyoung Lee, Minwoo Kim, Seungho Kim, Junghwan Kim, Seunghyun Won, Hwaran Lee, Edward Choi:
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge. CoRR abs/2402.13605 (2024) - [i75]Sungjin Park, Edward Choi:
Multimodal Transformer With a Low-Computational-Cost Guarantee. CoRR abs/2402.15096 (2024) - [i74]Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, Dongchul Cha, Hangyul Yoon, Kwanghyun Kim, Seunghyun Won, Edward Choi:
EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings. CoRR abs/2402.16040 (2024) - [i73]Sunjun Kweon, Byungjin Choi, Minkyu Kim, Rae Woong Park, Edward Choi:
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations. CoRR abs/2403.01469 (2024) - [i72]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i71]Gyubok Lee, Woosog Chay, Seonhee Cho, Edward Choi:
TrustSQL: A Reliability Benchmark for Text-to-SQL Models with Diverse Unanswerable Questions. CoRR abs/2403.15879 (2024) - [i70]Jiyoun Kim, Junu Kim, Kyunghoon Hur, Edward Choi:
EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients. CoRR abs/2404.13318 (2024) - [i69]Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi:
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR abs/2405.01588 (2024) - [i68]Gyubok Lee, Sunjun Kweon, Seongsu Bae, Edward Choi:
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records. CoRR abs/2405.06673 (2024) - [i67]Jaehee Ryu, Seonhee Cho, Gyubok Lee, Edward Choi:
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records. CoRR abs/2406.00019 (2024) - [i66]Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yohan Jo, Edward Choi:
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents. CoRR abs/2406.13144 (2024) - [i65]Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi:
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records. CoRR abs/2406.16341 (2024) - [i64]Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Edward Choi:
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models. CoRR abs/2408.03636 (2024) - [i63]Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi:
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records. CoRR abs/2409.07012 (2024) - 2023
- [c57]Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo:
Revisiting the Importance of Amplifying Bias for Debiasing. AAAI 2023: 14974-14981 - [c56]Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi:
Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table. ACL (Findings) 2023: 8285-8297 - [c55]Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi:
FactKG: Fact Verification via Reasoning on Knowledge Graphs. ACL (1) 2023: 16190-16206 - [c54]Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi:
Towards the Practical Utility of Federated Learning in the Medical Domain. CHIL 2023: 163-181 - [c53]Min Jae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi:
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. CHIL 2023: 294-313 - [c52]Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi:
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. EMNLP (Findings) 2023: 9410-9421 - [c51]Hyunseung Chung, Jiho Kim, Joon-Myoung Kwon, Ki-Hyun Jeon, Min Sung Lee, Edward Choi:
Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports. ICASSP 2023: 1-5 - [c50]Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi:
Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. ICASSP 2023: 1-5 - [c49]Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi:
Exploration Into Translation-Equivariant Image Quantization. ICASSP 2023: 1-5 - [c48]Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee:
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. MLHC 2023: 423-442 - [c47]Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi:
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images. NeurIPS 2023 - [c46]Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception. NeurIPS 2023 - [c45]Jungwoo Oh, Gyubok Lee, Seongsu Bae, Joon-Myoung Kwon, Edward Choi:
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram. NeurIPS 2023 - [c44]Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi:
Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. ECML/PKDD (5) 2023: 139-155 - [c43]Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee:
Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution. TML4H 2023: 41-50 - [c42]Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi:
Task Agnostic and Post-hoc Unseen Distribution Detection. WACV 2023: 1350-1359 - [i62]Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi:
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records. CoRR abs/2301.07695 (2023) - [i61]Hyungyung Lee, Da Young Lee, Wonjae Kim, Jin-Hwa Kim, Tackeun Kim, Jihang Kim, Leonard Sunwoo, Edward Choi:
Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays. CoRR abs/2302.12172 (2023) - [i60]Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi:
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density. CoRR abs/2302.13563 (2023) - [i59]Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi:
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays. CoRR abs/2303.05297 (2023) - [i58]Eunbyeol Cho, Min Jae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi:
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. CoRR abs/2303.08290 (2023) - [i57]Hyunseung Chung, Jiho Kim, Joon-Myoung Kwon, Ki-Hyun Jeon, Min Sung Lee, Edward Choi:
Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports. CoRR abs/2303.09395 (2023) - [i56]Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee:
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. CoRR abs/2305.02504 (2023) - [i55]Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi:
FactKG: Fact Verification via Reasoning on Knowledge Graphs. CoRR abs/2305.06590 (2023) - [i54]Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi:
Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table. CoRR abs/2305.07288 (2023) - [i53]Jungwoo Oh, Seongsu Bae, Gyubok Lee, Joon-Myoung Kwon, Edward Choi:
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram. CoRR abs/2306.15681 (2023) - [i52]Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. CoRR abs/2308.01525 (2023) - [i51]Sunjun Kweon, Junu Kim, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi:
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes. CoRR abs/2309.00237 (2023) - [i50]Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi:
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. CoRR abs/2310.11220 (2023) - [i49]Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi:
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images. CoRR abs/2310.18652 (2023) - [i48]Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang, Chami Im, Sung Yoon Lim, Han-Gil Jeong, Edward Choi:
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History. CoRR abs/2310.20204 (2023) - 2022
- [j5]Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Young-Hak Kim, Edward Choi:
Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training. IEEE J. Biomed. Health Informatics 26(12): 6070-6080 (2022) - [c41]Hyungyung Lee, Sungjin Park, Joonseok Lee, Edward Choi:
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer. BMVC 2022: 533 - [c40]Jong Hak Moon, Wonjae Kim, Edward Choi:
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations. BMVC 2022: 844 - [c39]Daeyoung Kim, Seongsu Bae, Seungho Kim, Edward Choi:
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records. CHIL 2022: 138-151 - [c38]Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Younghak Kim, Edward Choi:
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding. CHIL 2022: 183-203 - [c37]Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi:
Graph-Text Multi-Modal Pre-training for Medical Representation Learning. CHIL 2022: 261-281 - [c36]Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi:
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. CHIL 2022: 311-337 - [c35]Jungwoo Oh, Hyunseung Chung, Joon-Myoung Kwon, Dong-gyun Hong, Edward Choi:
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram. CHIL 2022: 338-353 - [c34]Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. COLING 2022: 4853-4863 - [c33]Sungjin Park, Seungwoo Ryu, Edward Choi:
Do Language Models Understand Measurements? EMNLP (Findings) 2022: 1782-1792 - [c32]Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-In Hwang, Minseok Choi, Edward Choi, Jaegul Choo:
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. EMNLP 2022: 5452-5467 - [c31]Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park:
Specializing Multi-domain NMT via Penalizing Low Mutual Information. EMNLP 2022: 10015-10026 - [c30]Zhengjie Ji, Edward Choi, Peng Gao:
A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition. ICDE 2022: 3158-3161 - [c29]Radhika Dua, Jiyoung Lee, Joon-Myoung Kwon, Edward Choi:
Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels. ICPR Workshops (2) 2022: 634-643 - [c28]Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi:
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records. NeurIPS 2022 - [i47]Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi:
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. CoRR abs/2201.08780 (2022) - [i46]Jungwoo Oh, Hyunseung Chung, Joon-Myoung Kwon, Dong-gyun Hong, Edward Choi:
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram. CoRR abs/2203.06889 (2022) - [i45]Daeyoung Kim, Seongsu Bae, Seungho Kim, Edward Choi:
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records. CoRR abs/2203.06918 (2022) - [i44]Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi:
Graph-Text Multi-Modal Pre-training for Medical Representation Learning. CoRR abs/2203.09994 (2022) - [i43]Hyungyung Lee, Sungjin Park, Edward Choi:
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer. CoRR abs/2204.07537 (2022) - [i42]Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo:
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing. CoRR abs/2205.14594 (2022) - [i41]Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi:
Towards the Practical Utility of Federated Learning in the Medical Domain. CoRR abs/2207.03075 (2022) - [i40]Kyunghoon Hur, Jungwoo Oh, Junu Kim, Min Jae Lee, Eunbyeol Cho, Jiyoun Kim, Seong-Eun Moon, Young-Hak Kim, Edward Choi:
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge. CoRR abs/2207.09858 (2022) - [i39]Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi:
Task Agnostic and Post-hoc Unseen Distribution Detection. CoRR abs/2207.13083 (2022) - [i38]Radhika Dua, Jiyoung Lee, Joon-Myoung Kwon, Edward Choi:
Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels. CoRR abs/2208.08853 (2022) - [i37]Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity. CoRR abs/2208.13376 (2022) - [i36]Jong Hak Moon, Wonjae Kim, Edward Choi:
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations. CoRR abs/2210.08819 (2022) - [i35]Sungjin Park, Seungwoo Ryu, Edward Choi:
Do Language Models Understand Measurements? CoRR abs/2210.12694 (2022) - [i34]Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park:
Specializing Multi-domain NMT via Penalizing Low Mutual Information. CoRR abs/2210.12910 (2022) - [i33]Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee:
Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution. CoRR abs/2210.16598 (2022) - [i32]Junu Kim, Kyunghoon Hur, Seongjun Yang, Edward Choi:
Universal EHR Federated Learning Framework. CoRR abs/2211.07300 (2022) - [i31]Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Edward Choi:
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge. CoRR abs/2211.08082 (2022) - [i30]Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi:
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. CoRR abs/2212.07050 (2022) - [i29]Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Zhengjie Ji, Zilin Zhang, Dawn Song:
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management. CoRR abs/2212.10388 (2022) - 2021
- [c27]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. AAAI 2021: 2412-2422 - [c26]Gyubok Lee, Seongjun Yang, Edward Choi:
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction. ACL/IJCNLP (2) 2021: 743-753 - [c25]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. BMVC 2021: 229 - [c24]Seongsu Bae, Daeyoung Kim, Jiho Kim, Edward Choi:
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture. ML4H@NeurIPS 2021: 13-25 - [c23]Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi:
Knowledge Graph-based Question Answering with Electronic Health Records. MLHC 2021: 36-53 - [c22]Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. SIGMOD Conference 2021: 2716-2720 - [i28]Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. CoRR abs/2101.07769 (2021) - [i27]Gyubok Lee, Seongjun Yang, Edward Choi:
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction. CoRR abs/2105.05498 (2021) - [i26]Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Edward Choi:
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training. CoRR abs/2105.11333 (2021) - [i25]Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Young-Hak Kim, Edward Choi:
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. CoRR abs/2108.03625 (2021) - [i24]Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi:
Natural Attribute-based Shift Detection. CoRR abs/2110.09276 (2021) - [i23]Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi:
Conditional Generation of Periodic Signals with Fourier-Based Decoder. CoRR abs/2110.12365 (2021) - [i22]Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Young-Hak Kim, Edward Choi:
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. CoRR abs/2111.09098 (2021) - [i21]Seongsu Bae, Daeyoung Kim, Jiho Kim, Edward Choi:
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture. CoRR abs/2111.14703 (2021) - [i20]Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi:
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. CoRR abs/2112.00384 (2021) - [i19]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. CoRR abs/2112.10960 (2021) - 2020
- [c21]Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai:
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. AAAI 2020: 606-613 - [c20]Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai:
Analyzing the role of model uncertainty for electronic health records. CHIL 2020: 204-213 - [i18]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. CoRR abs/2010.08188 (2020) - [i17]Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi:
Neural Ordinary Differential Equations for Intervention Modeling. CoRR abs/2010.08304 (2020) - [i16]Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi:
Knowledge Graph-based Question Answering with Electronic Health Records. CoRR abs/2010.09394 (2020) - [i15]Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi:
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. CoRR abs/2011.13120 (2020)
2010 – 2019
- 2019
- [j4]Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Trans. Vis. Comput. Graph. 25(1): 299-309 (2019) - [c19]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL 2019: 261-272 - [i14]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. CoRR abs/1906.03380 (2019) - [i13]Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai:
Analyzing the Role of Model Uncertainty for Electronic Health Records. CoRR abs/1906.03842 (2019) - [i12]Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai:
Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records. CoRR abs/1906.04716 (2019) - 2018
- [b1]Edward Choi:
Doctor AI: Interpretable deep learning for modeling electronic health records. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [j3]Cao Xiao, Edward Choi, Jimeng Sun:
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 25(10): 1419-1428 (2018) - [c18]Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CVPR 2018: 1586-1595 - [c17]Edward Choi, Angeliki Lazaridou, Nando de Freitas:
Compositional Obverter Communication Learning from Raw Visual Input. ICLR (Poster) 2018 - [c16]Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. NeurIPS 2018: 4552-4562 - [i11]Edward Choi, Angeliki Lazaridou, Nando de Freitas:
Compositional Obverter Communication Learning From Raw Visual Input. CoRR abs/1804.02341 (2018) - [i10]Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. CoRR abs/1805.10724 (2018) - [i9]Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. CoRR abs/1810.09593 (2018) - 2017
- [j2]Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
Using recurrent neural network models for early detection of heart failure onset. J. Am. Medical Informatics Assoc. 24(2): 361-370 (2017) - [c15]Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun:
GRAM: Graph-based Attention Model for Healthcare Representation Learning. KDD 2017: 787-795 - [c14]Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun:
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks. MLHC 2017: 286-305 - [i8]Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun:
Causal Regularization. CoRR abs/1702.02604 (2017) - [i7]Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun:
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks. CoRR abs/1703.06490 (2017) - [i6]Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR abs/1711.06798 (2017) - 2016
- [c13]Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun:
Multi-layer Representation Learning for Medical Concepts. KDD 2016: 1495-1504 - [c12]Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. MLHC 2016: 301-318 - [c11]Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter F. Stewart:
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism. NIPS 2016: 3504-3512 - [i5]Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction. CoRR abs/1602.03686 (2016) - [i4]Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun:
Multi-layer Representation Learning for Medical Concepts. CoRR abs/1602.05568 (2016) - [i3]Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism. CoRR abs/1608.05745 (2016) - [i2]Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun:
GRAM: Graph-based Attention Model for Healthcare Representation Learning. CoRR abs/1611.07012 (2016) - 2015
- [c10]Edward Choi, Jina J. Dcruz, Sizhe Lin, Kelly Ryder, Aashu B. Singh, Hang Su:
I-SMILE: Similarity based Just-in-time Recommendation System for Public Health. AMIA 2015 - [c9]Edward Choi, Jina J. Dcruz, Sizhe Lin, Aashu B. Singh, Hang Su, Kelly Ryder, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun:
System Architecture of CDC I-SMILE Recommendation Engine. AMIA 2015 - [c8]Jina J. Dcruz, Kelly Ryder, Edward Choi, Sizhe Lin, Aashu B. Singh, Hang Su, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun:
Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health. AMIA 2015 - [c7]Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun:
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. ICDM 2015: 721-726 - [i1]Edward Choi, Mohammad Taha Bahadori, Jimeng Sun:
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. CoRR abs/1511.05942 (2015) - 2014
- [c6]Changki Lee, Edward Choi, Hyunki Kim:
Balanced Korean Word Spacing with Structural SVM. EMNLP 2014: 875-879 - 2011
- [c5]Andreas G. Andreou, Zhaonian Zhang, Recep Ozgun, Edward Choi, Zaven K. Kalayjian, Miriam Adlerstein Marwick, Jennifer Blain Christen, Leslie Tung:
Contactless fluorescence imaging with a CMOS image sensor. ISCAS 2011: 2341-2344
2000 – 2009
- 2007
- [j1]Yu M. Chi, Udayan Mallik, Matthew A. Clapp, Edward Choi, Gert Cauwenberghs, Ralph Etienne-Cummings:
CMOS Camera With In-Pixel Temporal Change Detection and ADC. IEEE J. Solid State Circuits 42(10): 2187-2196 (2007) - [c4]Edward Choi, Andreas G. Andreou:
Architecture of a µRFID with integrated antenna in 3D SOI-CMOS. CISS 2007: 737-740 - 2006
- [c3]Yu M. Chi, Udayan Mallik, Edward Choi, Matthew A. Clapp, G. Gauwenberghs, Ralph Etienne-Cummings:
CMOS pixel-level ADC with change detection. ISCAS 2006 - [c2]Edward Choi, Zhiyong Gu, David H. Gracias, Andreas G. Andreou:
Chip-scale magnetic sensing and control of nanoparticles and nanorods. ISCAS 2006 - [c1]Edward Choi, Yingkai Liu, Elisabeth Smela, Andreas G. Andreou:
System for deposition and characterization of polypyrrole/gold bilayer hinges. ISCAS 2006
Coauthor Index
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