Edward Choi
Research Interests:
- Medical AI
- Natural Language Processing
- Persona Agents
- User Simulation
Recent Update
- Spring 2026: Check out PICon, CXReasonAgent, H-AdminSim, and PatientSim on our Projects page, with live demos and leaderboards.
- Spring 2026: Congrats to Jun-Min Lee for having H-AdminSim accepted at CHIL 2026.
- Spring 2026: Congrats to Jong Hak Moon for having Lunguage accepted at CHIL 2026.
- Spring 2026: Congrats to Junu Kim for having LayerNorm Induces Recency Bias in Transformer Decoders accepted at Findings of ACL 2026.
- Spring 2026: Congrats to Geon Choi for having ROSALIA accepted at CVPR 2026.
- Winter 2025: Congrats to Jong Hak Moon for having Modeling Clinical Uncertainty in Radiology Reports accepted at LREC 2026.
- Spring 2026: Congrats to Jiyoun Kim for having EHRFL: Federated Learning for Heterogeneous Electronic Health Record Systems accepted at Scientific Reports.
- Winter 2025: Congrats to Hyunseung Chung for having ECG-Agent accepted at ICASSP 2026.
- Spring 2026: Congrats to Jiho Kim for having ProPerSim accepted at ICLR 2026.
- Spring 2026: Congrats to Gyubok Lee for having EHR-ChatQA accepted at ICLR 2026.
- Winter 2025: Congrats to Franck Meyer for having MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion accepted at JBHI.
- Winter 2025: Congrats to Gyubok Lee and Woosog Chay for having SCARE accepted at ML4H 2025.
- Winter 2025: Congrats to Gyubok Lee for having FHIR-AgentBench accepted at ML4H 2025.
- Fall 2025: Congrats to Eunbyeol Cho for having RawMed accepted at NeurIPS 2025.
- Fall 2025: Congrats to Daeun Kyung for having PatientSim accepted at NeurIPS 2025 Datasets and Benchmarks as a Spotlight.
- Fall 2025: Congrats to Hyungyung Lee for having CXReasonBench accepted at NeurIPS 2025 Datasets and Benchmarks as a Spotlight.
- Fall 2025: Congrats to Jiyoung Lee for having Trans-EnV accepted at NeurIPS 2025 Datasets and Benchmarks.
- Fall 2025: Congrats to Sumin Jo and Junseong Choi for having R2-KG accepted at Findings of IJCNLP-AACL 2025.
- Summer 2025: Congrats to Sujeong Im and Jungwoo Oh — LabTOP received the Best Paper Award at CHIL 2025!
- Summer 2025: Congrats to Daeun Kyung for having EHRXDiff accepted at CHIL 2025.
- Summer 2025: Congrats to Sunjun Kweon for having A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant accepted at ACL 2025 Industry Track.
- Summer 2025: Check out A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries from our collaborators, to appear at PLOS Medicine.
- Spring 2025: Congrats to Sungjin Park for having Ensembling LLMs with Process Reward-Guided Tree Search accepted at NAACL 2025.
- Spring 2025: Check out Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation from our collaborators, to appear at NAACL 2025.
- Spring 2025: Check out Comparing Neural Language Models for Medical Concept Representation and Patient Trajectory Prediction from our collaborators, to appear at Artificial Intelligence in Medicine.
- Fall 2024: Congrats to Yeonsu Kwon and Jiho Kim for having EHRCon accepted at NeurIPS 2024 Datasets and Benchmarks as a Spotlight.
- Fall 2024: Congrats to Sunjun Kweon and Jiyoun Kim for having EHRNoteQA accepted at NeurIPS 2024 Datasets and Benchmarks.
- Fall 2024: Congrats to Hyunseung Chung for having Time is Not Enough accepted at CIKM 2024.
- Fall 2024: Check out Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling from our collaborators, to appear at Findings of EMNLP 2024.
- Summer 2024: Check out Evaluation Framework of Large Language Models in Medical Documentation from our collaborators, to appear at Journal of Medical Internet Research.
- Summer 2024: Congrats to Daeun Kyung for having Significantly Improving Zero-shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders accepted at Scientific Reports.
- Summer 2024: Congrats to Kyunghoon Hur for having GenHPF: General Healthcare Predictive Framework for Multi-task Multi-source Learning accepted at JBHI.
- Summer 2024: Congrats to Junu Kim for having REMed accepted at MLHC 2024.
- Summer 2024: Congrats to Jiyoung Lee for having KorNAT accepted at Findings of ACL 2024.
- Summer 2024: Congrats to Sunjun Kweon and Junu Kim for having Asclepius accepted at Findings of ACL 2024.
- Summer 2024: Congrats to Jaehee Ryu and Seonhee Cho for having EHR-SeqSQL accepted at Findings of ACL 2024.
- Spring 2024: Congrats to Hyungyung Lee for having UniXGen accepted at CHIL 2024.
- Spring 2024: Congrats to Junwoo Park for having Self-Supervised Contrastive Learning for Long-term Forecasting accepted at ICLR 2024.
- Winter 2023: Congrats to Sungjin Park for having Multimodal Transformer with a Low-Computational-Cost Guarantee accepted at ICASSP 2024.
- Winter 2023: Check out Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals from our collaborators, to appear at Korean Journal of Radiology.
- Fall 2023: Congrats to Seongsu Bae and Daeun Kyung for having EHRXQA accepted at NeurIPS 2023 Datasets and Benchmarks.
- Fall 2023: Congrats to Jiyoung Lee for having VisAlign accepted at NeurIPS 2023 Datasets and Benchmarks.
- Fall 2023: Congrats to Jungwoo Oh for having ECG-QA accepted at NeurIPS 2023 Datasets and Benchmarks.
- Fall 2023: Congrats to Jiho Kim for having KG-GPT accepted at Findings of EMNLP 2023.
- Summer 2023: Congrats to Junwoo Park for having Deep Imbalanced Time-series Forecasting via Local Discrepancy Density accepted at ECML-PKDD 2023.
- Summer 2023: Check out Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention from our collaborators, to appear at MLHC 2023.
- Spring 2023: Congrats to Jiho Kim for having FactKG accepted at ACL 2023.
- Spring 2023: Congrats to Sunjun Kweon for having Open-WikiTable accepted at Findings of ACL 2023.
- Spring 2023: Congrats to Eunbyeol Cho and Min Jae Lee for having Rediscovery of CNN's Versatility for Text-based Encoding of Raw EHR accepted at CHIL 2023 as an Oral Presentation.
- Spring 2023: Congrats to Seongjun Yang and Hyeonji Hwang for having Towards the Practical Utility of Federated Learning in the Medical Domain accepted at CHIL 2023.
- Winter 2022: Congrats to Daeun Kyung — PerX2CT received the Best Student Paper Award (Oral) at ICASSP 2023!
- Winter 2022: Congrats to Woncheol Shin — Exploration into Translation-Equivariant Image Quantization was recognized as a Top 3% paper (Oral) at ICASSP 2023.
- Winter 2022: Congrats to Hyunseung Chung for having Text-To-ECG accepted at ICASSP 2023.
- Winter 2022: Congrats to Radhika Dua for having Task Agnostic and Post-hoc Unseen Distribution Detection accepted at WACV 2023.
- Winter 2022: Check out Revisiting the Importance of Amplifying Bias for Debiasing from our collaborators, to appear at AAAI 2023.
- Fall 2022: Congrats to Gyubok Lee for having EHRSQL accepted at NeurIPS 2022 Datasets and Benchmarks.
- Fall 2022: Congrats to Sungjin Park for having Do Language Models Understand Measurements? accepted at Findings of EMNLP 2022.
- Fall 2022: Congrats to Jiyoung Lee for having Specializing Multi-domain NMT via Penalizing Low Mutual Information accepted at EMNLP 2022.
- Fall 2022: Congrats to Hyungyung Lee for having Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer accepted at BMVC 2022.
- Fall 2022: Congrats to Jong Hak Moon for having Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations accepted at BMVC 2022.
- Fall 2022: Check out Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model from our collaborators, to appear at EMNLP 2022.
- Fall 2022: Check out Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity from our collaborators, to appear at COLING 2022.
- Spring 2022: Congrats to Kwanhyung Lee for having Real-Time Seizure Detection using EEG accepted at CHIL 2022.
- Spring 2022: Congrats to Jungwoo Oh for having Lead-agnostic Self-supervised Learning for ECG accepted at CHIL 2022.
- Spring 2022: Congrats to Daeyoung Kim for having Uncertainty-Aware Text-to-Program for QA on Structured EHR accepted at CHIL 2022.
- Spring 2022: Congrats to Sungjin Park for having Graph-Text Multi-Modal Pre-training for Medical Representation Learning accepted at CHIL 2022.
- Spring 2022: Congrats to Kyunghoon Hur and Jiyoung Lee for having Unifying Heterogenous EHR Systems via Text-Based Code Embedding accepted at CHIL 2022.
- Spring 2022: Congrats to Jong Hak Moon and Hyungyung Lee for having MedViLL: Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training accepted at JBHI.
- Winter 2021: Congrats to Seongsu Bae — Question Answering for Complex EHR Database received the Best Poster Award (Oral Spotlight) at ML4H 2021!
- Winter 2021: Check out Artificial Intelligence and Cardiovascular Genetics from our collaborators, to appear at Life.
- Fall 2021: Congrats to Kangyeol Kim for having Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE accepted at BMVC 2021.
- Summer 2021: Congrats to Junwoo Park for having Knowledge Graph-based Question Answering with Electronic Health Records accepted at MLHC 2021.
- Spring 2021: Congrats to Gyubok Lee and Seongjun Yang for having Improving Lexically Constrained Neural Machine Translation accepted at ACL 2021.
- Winter 2020: Congrats to Sunghyun Park for having Vid-ODE accepted at AAAI 2021.
- Spring 2020: Check out Analyzing the Role of Model Uncertainty for Electronic Health Records from our collaborators, to appear at CHIL 2020.
- Spring 2020: Edward Choi joined KAIST as an assistant professor at the Kim Jaechul Graduate School of AI. The lab is open for business!
Recent Publications
View all publications →