Hyewon Jeong

According to our database, Hyewon Jeong authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

End-to-End Learnable Multi-Scale Feature Compression for VCM.

Yeongwoong Kim, Hyewon Jeong, Janghyun Yu, Younhee Kim, Jooyoung Lee, Seyoon Jeong, Hui Yong Kim

IEEE Trans. Circuits Syst. Video Technol., May, 2024

A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making.

Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Cynthia Breazeal, Hae Won Park

CoRR, 2024

MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets.

Nassim Oufattole, Teya Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott

CoRR, 2024

LEMoN: Label Error Detection using Multimodal Neighbors.

Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

CoRR, 2024

Adaptive Collaboration Strategy for LLMs in Medical Decision Making.

Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park

CoRR, 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, 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

CoRR, 2024

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

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

MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression.

Curie Yoon, Dalhong Lim, Yeongwoong Kim, Hyewon Jeong, Hui Yong Kim, Jooyoung Lee, Younhee Kim, Seyoon Jeong

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals.

Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2023

Machine Learning for Health (ML4H) 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

Proceedings of the Machine Learning for Health, 2023

2022

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

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

LectYS: A System for Summarizing Lecture Videos on YouTube.

Taewon Yoo, Hyewon Jeong, Donghwan Lee, Hyunggu Jung

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning.

Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cost-Effective Interactive Attention Learning with Neural Attention Processes.

Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the 37th International Conference on Machine Learning, 2020

2014

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