Low-Complexity Low-Latency Architecture for Matching of Data Encoded With Hard Systematic Error-Correcting Codes. - Byeong Yong Kong; Jihyuck Jo; Hyewon Jeong; Mina Hwang; Soyoung Cha; Bongjin Kim; In-Cheol Park (IEEE Trans. Very Large Scale Integr. Syst., 2014)

Cost-Effective Interactive Attention Learning with Neural Attention Processes. - Jay Heo; Junhyeon Park; Hyewon Jeong; Kwang Joon Kim; Juho Lee 001; Eunho Yang; Sung Ju Hwang (ICML, 2020)

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. - Tuan A. Nguyen; Hyewon Jeong; Eunho Yang; Sung Ju Hwang (AAAI, 2021)

LectYS: A System for Summarizing Lecture Videos on YouTube. - Taewon Yoo; Hyewon Jeong; Donghwan Lee; Hyunggu Jung (IUI Companion, 2021)

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. - Kwanhyung Lee; Hyewon Jeong; Seyun Kim; Donghwa Yang; Hoon-Chul Kang; Edward Choi (CHIL, 2022)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. - Hyewon Jeong; Collin M. Stultz; Marzyeh Ghassemi (MLHC, 2023)

MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. - Curie Yoon; Dalhong Lim; Yeongwoong Kim; Hyewon Jeong; Hui Yong Kim; Jooyoung Lee 004; Younhee Kim; Seyoon Jeong (VCIP, 2023)

A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding. - Jung Heum Kang; Muhammad Salman Ali; Hyewon Jeong; Chang-Kyun Choi; Younhee Kim; Se-Yoon Jeong; Sung-Ho Bae; Hui Yong Kim (IEEE Access, 2023)

Event-Based Contrastive Learning for Medical Time Series. - Hyewon Jeong; Nassim Oufattole; Aparna Balagopalan; Matthew B. A. McDermott; Payal Chandak; Marzyeh Ghassemi; Collin M. Stultz (CoRR, 2023)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Event-Based Contrastive Learning for Medical Time Series. - Nassim Oufattole; Hyewon Jeong; Matthew B. A. McDermott; Aparna Balagopalan; Bryan Jangeesingh; Marzyeh Ghassemi; Collin M. Stultz (MLHC, 2024)

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making. - Yubin Kim 002; Chanwoo Park; Hyewon Jeong; Yik Siu Chan; Xuhai Xu; Daniel McDuff; Hyeonhoon Lee; Marzyeh Ghassemi; Cynthia Breazeal; Hae Won Park 001 (NeurIPS, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Adaptive Collaboration Strategy for LLMs in Medical Decision Making. - Yubin Kim 002; Chanwoo Park; Hyewon Jeong; Yik Siu Chan; Xuhai Xu; Daniel McDuff; Cynthia Breazeal; Hae Won Park 001 (CoRR, 2024)

LEMoN: Label Error Detection using Multimodal Neighbors. - Haoran Zhang 003; Aparna Balagopalan; Nassim Oufattole; Hyewon Jeong; Yan Wu; Jiacheng Zhu; Marzyeh Ghassemi (CoRR, 2024)

MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nassim Oufattole; Teya S. Bergamaschi; Aleksia Kolo; Hyewon Jeong; Hanna Gaggin; Collin M. Stultz; Matthew B. A. McDermott (CoRR, 2024)

A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. - Yubin Kim 002; Chanwoo Park; Hyewon Jeong; Cristina Grau-Vilchez; Yik Siu Chan; Xuhai Xu; Daniel McDuff; Hyeonhoon Lee; Cynthia Breazeal; Hae Won Park 001 (CoRR, 2024)

Identifying Differential Patient Care Through Inverse Intent Inference. - Hyewon Jeong; Siddharth Nayak; Taylor W. Killian; Sanjat Kanjilal (CoRR, 2024)

Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition. - Hyewon Jeong; Suyeol Yun; Hammaad Adam (CoRR, 2024)

End-to-End Learnable Multi-Scale Feature Compression for VCM. - Yeongwoong Kim; Hyewon Jeong; Janghyun Yu; Younhee Kim; Jooyoung Lee 004; Seyoon Jeong; Hui Yong Kim (IEEE Trans. Circuits Syst. Video Technol., 2024)

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. - Maxwell A. Xu; Jaya Narain; Gregory Darnell; Haraldur Tómas Hallgrímsson; Hyewon Jeong; Darren Forde; Richard Andres Fineman; Karthik Jayaraman Raghuram; James Matthew Rehg; Shirley You Ren (ICLR, 2025)

Medical Hallucinations in Foundation Models and Their Impact on Healthcare. - Yubin Kim 002; Hyewon Jeong; Shan Chen 004; Shuyue Stella Li; Mingyu Lu; Kumail Alhamoud; Jimin Mun; Cristina Grau; Minseok Jung; Rodrigo Gameiro; Lizhou Fan; Eugene Park; et al. (CoRR, 2025)

BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum. - Yubin Kim 002; Zhiyuan Hu; Hyewon Jeong; Eugene Park; Shuyue Stella Li; Chanwoo Park; Shiyun Xiong; Mingyu Lu; Hyeonhoon Lee; Xin Liu 034; Daniel McDuff; Cynthia Breazeal; et al. (CoRR, 2025)

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering. - Yuexing Hao; Kumail Alhamoud; Hyewon Jeong; Haoran Zhang 003; Isha Puri; Philip Torr 001; Mike Schaekermann; Ariel D. Stern; Marzyeh Ghassemi (CoRR, 2025)

Tiered Agentic Oversight: A Hierarchical Multi-Agent System for AI Safety in Healthcare. - Yubin Kim 002; Hyewon Jeong; Chanwoo Park; Eugene Park; Haipeng Zhang; Xin Liu 034; Hyeonhoon Lee; Daniel McDuff; Marzyeh Ghassemi; Cynthia Breazeal; Samir Tulebaev; Hae Won Park 001 (CoRR, 2025)

MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine. - Mahtab Bigverdi; Wisdom Oluchi Ikezogwo; Kevin Zhang; Hyewon Jeong; Mingyu Lu; Sungjae Cho; Linda G. Shapiro; Ranjay Krishna (CoRR, 2025)