Hyewon Jeong
Hyewon Jeong
M.D., Ph.D. Student @ EECS, MIT
Verified email at - Homepage
Cited by
Cited by
A neural circuit for auditory dominance over visual perception
YH Song, JH Kim, HW Jeong, I Choi, D Jeong, K Kim, SH Lee
Neuron 93 (4), 940-954. e6, 2017
Combined treatment with 2′-hydroxycinnamaldehyde and temozolomide suppresses glioblastoma tumorspheres by decreasing stemness and invasiveness
H Jeong*, J Park*, JK Shim, JE Lee, NH Kim, HS Kim, JH Chang, JI Yook, ...
Journal of neuro-oncology 143 (1), 69-77, 2019
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
K Lee*, H Jeong*, S Kim, D Yang, HC Kang, E Choi
Conference on Health, Inference, and Learning (CHIL) 2022, 311-337, 2022
Clinical risk prediction with temporal probabilistic asymmetric multi-task learning
TA Nguyen*, H Jeong*, E Yang, SJ Hwang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10: AAAI …, 2021
Cost-effective Interactive Attention Learning with Neural Attention Processes
J Heo, J Park, H Jeong, KJ Kim, J Lee, E Yang, SJ Hwang
Thirty-seventh International Conference on Machine Learning, 2020
Predicting fetal alcohol spectrum disorders using machine learning techniques: multisite retrospective cohort study
SS Oh, I Kuang, H Jeong, JY Song, B Ren, JY Moon, EC Park, I Kawachi
Journal of Medical Internet Research 25, e45041, 2023
Adaptive Collaboration Strategy for LLMs in Medical Decision Making
Y Kim, C Park, H Jeong, YS Chan, X Xu, D McDuff, C Breazeal, HW Park
arXiv preprint arXiv:2404.15155, 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ...
arXiv preprint arXiv:2403.01628, 2024
Event-Based Contrastive Learning for Medical Time Series
H Jeong, N Oufattole, M Mcdermott, A Balagopalan, B Jangeesingh, ...
arXiv preprint arXiv:2312.10308, 2023
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals
H Jeong, CM Stultz, M Ghassemi
arXiv preprint arXiv:2308.04650, 2023
Unsupervised Deep Metric Learning for the inference of hemodynamic value with Electrocardiogram signals
H Jeong, M Ghassemi, C Stultz
NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022
Clinical risk prediction with temporal probabilistic asymmetric multi-task learning
H Jeong
한국과학기술원, 2021
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