Publications

A Machine Learning-based Screening Tool for classifying Post-traumatic Stress Disorder in Firefighters

Chae, et al.

BMC Psychiatry

Estimation of System Parameters Including Repeated Cross-Sectional Data: Emulator-Informed Deep-Generative Model

Cho, C., Cho, S.W., Jo, H., Hwang, H.J.

SIAM Journal on Scientific Computing

Data-driven inference of coupling functions in oscillatory systems via physics-informed neural networks

Hwang, G., Jo, H., Kim, J.K.

Physical Review Research

Attention with Quantum Fourier Transform for Operator Learning in Dynamical Systems

Ryu, J., Jo, H., Hwang, H.J.

Physica Scripta

Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals

Jo, H., Joisc, K., Kim, J.K.

SIAM Journal on Applied Mathematics

Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model

Cho, H., Jo, H., Hwang, H.J.

AAAI 2026 · 구두발표 (oral)

Reverse Engineering for Programmable Logic Controller Structure Estimation via White Box Networks

Lee, E.S., Jo, H., Hwang, H.J.

Journal of Intelligent Manufacturing

Cancer-related Dysfunctional Beliefs and Attitude about Sleep-6 (C-DBAS-6): A practical and accurate shortened version using XGBoost and SymScore

Cawiding, O.R., Jo, H., Jeon, S., Ardi, F.R., Kim, J.K., Chung, S.

Sleep and Biological Rhythms

1332 Evaluating Patient Characteristics Influencing the Predictive Accuracy of Sleep Disorder Questionnaires

Lee, S., Cawiding, O.R., Jo, H., Kim, J.K., Joo, E.Y.

Sleep

SymScore: Machine Learning Accuracy Meets Transparency in a Symbolic Regression-Based Clinical Score Generator

Cawiding, O.R., Lee, S., Jo, H., Kim, S., Suh, S., Joo, E.Y., Chung, S., Kim, J.K.

Computers in Biology and Medicine

Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data

Jo, H., Cho, S.W., Hwang, H.J.

PLOS Computational Biology

Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven Shortened Version from a Machine Learning Approach

Jo, H., Jeon, H.J., Ahn, J., Jeon, S., Kim, J.K., Chung, S.

Sleep Medicine

Data-driven Shortened Insomnia Severity Index (ISI): A Machine Learning Approach

Jo, H., Lim, M., Jeon, H.J., Ahn, J., Jeon, S., Kim, J.K., Chung, S.

Sleep and Breathing

Density Physics-Informed Neural Network identifies sources of cell heterogeneity in signal transduction under antibiotic stress

Jo, H., Hong, H., Hwang, H.J., Chang, W., Kim, J.K.

Cell Patterns

Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database

Park, M.S., Jo, H., Lee, H., Jung, S.Y., Hwang, H.J.

Infectious Diseases and Therapy

Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning

Hwang, H.J., Jung, S., Park, M.S., Jo, H.

Real-World Implications of Rapidly Responsive COVID-19 Spread Model with Time Dependent Parameters Via Deep Learning: Algorithm Development and Validation

Jung, S.Y., Jo, H., Son, H., Hwang, H.J.

Journal of Medical Internet Research

The Hybrid Model of a Mathematical Model and Neural Network Model for Rolling Force and Temperature Prediction in Hot Rolling Processes

Hwang, R., Jo, H., Kim, K.S., Hwang, H.J.

IEEE Access

Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach

Hwang, H.J., Jang, J.W., Jo, H., Lee, J.Y.

Journal of Computational Physics

Microstructure design using machine learning generated low dimensional and continuous design space

Jung, J., Yoon, J.I., Park, H.K., Jo, H., Kim, H.S.

Materialia

Deep Neural Network Approach to Forward-Inverse Problems

Jo, H., Son, H.¹, Hwang, H.J., Kim, E.

Networks and Heterogeneous Media

The diffusive limit of the Vlasov-Fokker-Planck equation with the chemotactic sensitivity coupled to a parabolic equation

Hwang, H.J., Jo, H.

Journal of Mathematical Analysis and Applications

Endpoint temperature prediction model for LD converters using machine-learning techniques

Jo, H., Hwang, H.J., Phan, D., Lee, Y., Jang, H.

2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA)

Machine Learning Technology applied to Steel Manufacturing Process

Jo, H., Hwang, S., Phan, D., Hwang, H.J.

From Nonsmooth Minima to Smooth Branches via Heat Kernel Regularization

심사 중

Disinfectant Efficacy via Gaussian process

심사 중

Prediction for Overall Survival in Multiple Myeloma with XGB-AFT

심사 중

Deep Predictor-Corrector Networks for Robust Parameter Estimation in Non-autonomous System with Discontinuous Inputs

심사 중