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2020 – today
- 2024
[j3]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): 3156-3167 (2024)- [i14]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) - [i13]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 abs/2404.15155 (2024) - [i12]Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi:
LEMoN: Label Error Detection using Multimodal Neighbors. CoRR abs/2407.18941 (2024) - [i11]Nassim Oufattole, Teya S. Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott:
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. CoRR abs/2411.00200 (2024) - [i10]Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Cynthia Breazeal, Hae Won Park:
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. CoRR abs/2411.00248 (2024) - [i9]Hyewon Jeong, Siddharth Nayak, Taylor W. Killian, Sanjat Kanjilal:
Identifying Differential Patient Care Through Inverse Intent Inference. CoRR abs/2411.07372 (2024) - [i8]Hyewon Jeong, Suyeol Yun, Hammaad Adam:
Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition. CoRR abs/2411.17702 (2024) - [i7]Maxwell A. Xu, Jaya Narain, Gregory Darnell, Haraldur Tómas Hallgrímsson, Hyewon Jeong, Darren Forde, Richard Fineman, Karthik J. Raghuram, James M. Rehg, Shirley You Ren:
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. CoRR abs/2411.18822 (2024) - 2023
- [j2]Jung Heum Kang, Muhammad Salman Ali, Hyewon Jeong, Chang-Kyun Choi, Younhee Kim, Se-Yoon Jeong, Sung-Ho Bae, Hui Yong Kim:
A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding. IEEE Access 11: 34198-34209 (2023) - [c7]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: 1-12 - [c6]Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi:
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. MLHC 2023: 321-342 - [c5]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: 1-5 - [i6]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 abs/2306.16670 (2023) - [i5]Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi:
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. CoRR abs/2308.04650 (2023) - [i4]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 abs/2312.10308 (2023) - 2022
- [c4]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 - [i3]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) - 2021
- [c3]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI 2021: 9081-9091 - [c2]Taewon Yoo, Hyewon Jeong, Donghwan Lee, Hyunggu Jung:
LectYS: A System for Summarizing Lecture Videos on YouTube. IUI Companion 2021: 90-92 - 2020
- [c1]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: 4228-4238 - [i2]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 abs/2006.05419 (2020) - [i1]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR abs/2006.12777 (2020)
2010 – 2019
- 2014
- [j1]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): 1648-1652 (2014)
Coauthor Index
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