Hyewon Jeong

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Topics

Recent Approaches

Maximum Variance Unfolding

Machine Learning

Epileptic Seizures

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Yeongwoong Kim, Hyewon Jeong, Janghyun Yu, Younhee Kim, Jooyoung Lee, Seyoon Jeong, Hui Yong Kim
End-to-End Learnable Multi-Scale Feature Compression for VCM. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park
Adaptive Collaboration Strategy for LLMs in Medical Decision Making. CoRR (2024)
Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi
LEMoN: Label Error Detection using Multimodal Neighbors. CoRR (2024)
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 (2024)
Curie Yoon, Dalhong Lim, Yeongwoong Kim, Hyewon Jeong, Hui Yong Kim, Jooyoung Lee, Younhee Kim, Seyoon Jeong
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. VCIP (2023)
Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. MLHC (2023)
Yeongwoong Kim, Hyewon Jeong, Janghyun Yu, Younhee Kim, Jooyoung Lee, Seyoon Jeong, Hui Yong Kim
End-to-End Learnable Multi-Scale Feature Compression for VCM. CoRR (2023)
Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. CoRR (2023)
Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew B. A. McDermott, Payal Chandak, Marzyeh Ghassemi, Collin M. Stultz
Event-Based Contrastive Learning for Medical Time Series. CoRR (2023)
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS (2023)
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 (2022)
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)
Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI (2021)
Taewon Yoo, Hyewon Jeong, Donghwan Lee, Hyunggu Jung
LectYS: A System for Summarizing Lecture Videos on YouTube. IUI Companion (2021)
Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR (2020)
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML (2020)
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR (2020)
Byeong Yong Kong, Jihyuck Jo, Hyewon Jeong, Mina Hwang, Soyoung Cha, Bongjin Kim, In-Cheol Park
Low-Complexity Low-Latency Architecture for Matching of Data Encoded With Hard Systematic Error-Correcting Codes. IEEE Trans. Very Large Scale Integr. Syst. 22 (7) (2014)