Publications

NeurIPS TS4H

Pretraining Patient Foundation Models on Multimodal Patient Journeys

D.P. Jeong*, S. Bedi*, C. Wong, S. Zhang, J.M.J. Valanarasu, Q. Liu, R. Tan, Z. Gero, J. Bagga, J.M. Zambrano Chaves, N. Usuyama, H. Xu, R.K. Weerasinghe, R.S. Leidner, B. Piening, C. Bifulco, T. Naumann, H. Poon.

Neural Information Processing Systems (NeurIPS) 2025 Workshop on Learning from Time-Series for Health

TMLR

LLM-Select: Feature Selection with Large Language Models

D.P. Jeong, Z.C. Lipton, P. Ravikumar.

Transactions on Machine Learning Research (TMLR), April 2025

[abs, pdf, code]
Preprint

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models

D.P. Jeong, P. Mani, S. Garg, Z.C. Lipton, M. Oberst.

Preprint. Under review.

[abs, pdf, code]
EMNLP

Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?

D.P. Jeong, S. Garg, Z.C. Lipton, M. Oberst.

Empirical Methods in Natural Language Processing (EMNLP) 2024, Main Conference (Oral 🏆)

[abs, pdf, code]
ML4H Findings

Detection of Transitional Anatomy in Lumbar Spine MRIs via 3D Computer Vision Models to Avoid Wrong-Level Surgery

P.D. Souza Rebello, M. Oberst, D.P. Jeong, H. Zhou, Z.C. Lipton, K.J. Shields, H. Hosseiny, C.Q. Li, R. Maheshwary, K.J. Sexton.

Machine Learning for Health Symposium (ML4H) 2024, Findings

ICML KLR

Bayesian Neural Networks with Domain Knowledge Priors

D. Sam*, R. Pukdee*, D.P. Jeong, Y. Byun, J.Z. Kolter.

International Conference on Machine Learning (ICML) 2023 Workshop on Knowledge and Logical Reasoning in the Era of Data-driven Learning (Oral 🏆)

[abs, pdf]
AISTATS

Factorial SDE for Multi-Output Gaussian Process Regression

D.P. Jeong, S. Kim.

International Conference on Artificial Intelligence and Statistics (AISTATS) 2023

[abs, pdf, code]
AISTATS

Doubly Mixed-Effects Gaussian Process Regression

J.H. Yoon, D.P. Jeong, S. Kim.

International Conference on Artificial Intelligence and Statistics (AISTATS) 2022 (Oral 🏆, 2.6% of All Submissions)

[abs, pdf, code]
MLCB

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

I. Drori, D. Thaker, A. Srivatsa, D. Jeong, Y. Wang, L. Nan, F. Wu, D. Leggas, J. Lei, W. Lu, W. Fu, Y. Gao, S. Karri, A. Kannan, A. Moretti, M. AlQuraishi, C. Keasar, I. Pe'er.

Machine Learning in Computational Biology (MLCB) 2019

[abs, pdf, code]
NeurIPS LMRL

Protein structure prediction with deep learning representations

I. Drori, D. Thaker, A. Srivatsa, D. Jeong, Y. Wang, L. Nan, F. Wu, D. Leggas, J. Lei, W. Lu, W. Fu, Y. Gao, S. Karri, A. Kannan, A. Moretti, C. Keasar, I. Pe'er.

Neural Information Processing Systems (NeurIPS) 2019 Workshop on Learning Meaningful Representations of Life

AIAA SciTech

Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks

S. Sonawani, R. Alimo, R. Detry, D. Jeong, A. Hess, H. Ben Amor.

AIAA SciTech 2020

[abs, pdf]
IEEE AeroConf

COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change

G. Doran, E. Langert, S. Lu, L. Mandrake, K.L. Wagstaff, J. Young, A. Braunegg*, P. Horton*, D. Jeong*, A. Trockman*.

IEEE Aerospace Conference 2020

[abs, pdf]
IEEE AeroConf

Utilizing High Altitude Balloons as Low-Cost CubeSat Testbeds

H. Hall, P. Beglar*, M. Chamieh*, J. Chu*, R. Daruwala*, V. Duong*, S. Holt*, D. Jeong*, M. Lally*, L. Nguyen*, R. Rafizadeh*, P. Soon Fah*, A. Viros*, K. Weng*, C. Yuan*, C. Derewa, A. Stoica.

IEEE Aerospace Conference 2020