Publications

2026

1. Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulator

   Yongjin Choi and Seungjun Lee

   Computers and Geotechnics, 2026

   DOI
2. Operator learning for consolidation: An architectural comparison for DeepONet variants

   Yongjin Choi, Chenying Liu, and Jorge Macedo

   Computers and Geotechnics, 2026

   DOI
3. Differentiable Graph Neural Network Simulator for the Back-Analysis of Post-Liquefaction Residual Strength from Flow Failure Runout

   Yongjin Choi and Jorge Macedo

   arXiv preprint arXiv:2602.11621, 2026

   DOI
4. A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling

   Hyeonbin Moon, Yongjin Choi, and Seunghwa Ryu

   arXiv preprint arXiv:2606.19378, 2026

   DOI
5. The interplay between pore and particle characteristics in sands based on computed tomographic image analyses

   Jae-Eun Ryou, Yongjin Choi, Seokgu Gang, and 2 more authors

   Powder Technology, 2026

   DOI
6. Differentiable graph neural network simulator for forward and inverse modeling of multi-layered slope system with multiple material properties

   Yongjin Choi, Jorge Macedo, and Chenying Liu

   Soils and Foundations, 2026

   DOI

2025

1. Tunnel lining segmentation from ground-penetrating radar images using advanced single-and two-stage object detection and segmentation models

   Byongkyu Bae, Yongjin Choi, Hyunjun Jung, and 1 more author

   Computer-Aided Civil and Infrastructure Engineering, 2025

   DOI
2. Field data-based prediction of local scour depth around bridge piers using interpretable machine learning

   Taeyoon Kim, Azmayeen R Shahriar, Woo-Dong Lee, and 3 more authors

   Transportation Geotechnics, 2025

   DOI
3. Configuration Effects in Lightweight Deflectometer Testing and a Normalization Framework for Comparable In-Situ Modulus

   Huyen-Tram Nguyen, Yongjin Choi, Sangwook Kang, and 2 more authors

   Available at SSRN 6568465, 2025

   DOI

2024

1. Development of a data acquisition system for lightweight deflectometer using Raspberry Pi

   Huyen-Tram Nguyen, Yongjin Choi, Jaewoo Jung, and 1 more author

   Available at SSRN 6379704, 2024

   DOI
2. Removal Efficiency of Bottom Ash and Sand Mixtures as Filter Layers for Fine Particulate Matter

   Yunje Lee, Donghyun Lee, Hongkyoung Lee, and 4 more authors

   Materials, 2024

   DOI
3. Application of Mask R-CNN and YOLOv8 algorithms for concrete crack detection

   Yongjin Choi, Byongkyu Bae, Taek Hee Han, and 1 more author

   IEEE Access, 2024

   DOI
4. Application of Mask R-CNN Algorithm to Detect Cracks in Concrete Structure

   Byongkyu Bae, Yongjin Choi, Kangho Yun, and 1 more author

   Journal of Korean Geotechnical Society, 2024

   DOI
5. Sequence deep learning for seismic ground response modeling: 1D-CNN, LSTM, and transformer approach

   Yongjin Choi, Huyen-Tram Nguyen, Taek Hee Han, and 2 more authors

   Applied Sciences, 2024

   DOI
6. Inverse analysis of granular flows using differentiable graph neural network simulator

   Yongjin Choi and Krishna Kumar

   Computers and Geotechnics, 2024

   DOI
7. Graph neural network-based surrogate model for granular flows

   Yongjin Choi and Krishna Kumar

   Computers and Geotechnics, 2024

   DOI

2023

1. Accelerating particle and fluid simulations with differentiable graph networks for solving forward and inverse problems

   Krishna Kumar and Yongjin Choi

   In Proceedings of the SC’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023

   DOI
2. Three-dimensional granular flow simulation using graph neural network-based learned simulator

   Yongjin Choi and Krishna Kumar

   In Geo-Congress 2024, 2023

   DOI
3. A machine learning approach to predicting pore pressure response in liquefiable sands under cyclic loading

   Yongjin Choi and Krishna Kumar

   In Geo-Congress 2023, 2023

   DOI

2021

1. Prediction models based on regression and artificial neural network for moduli of layers constituted by open-graded aggregates

   Yunje Lee, Yongjin Choi, Donghyun Ahn, and 1 more author

   Materials, 2021

   DOI
2. Evaluation of py Curves for Group Piles in Cohesive Soil Based on 3D Numerical Analysis

   Jaewoo Jung, Yongjin Choi, and Jaehun Ahn

   Journal of the Korean Society of Hazard Mitigation, 2021

   DOI

2020

1. Evaluation of py curves and p-multiplier of pile groups corresponding to sand properties change based on 3D numerical analysis

   Yongjin Choi and Jaehun Ahn

   Journal of the Korean Society of Hazard Mitigation, 2020

   DOI
2. Compaction quality monitoring of open-graded aggregates by light weight deflectometer and soil stiffness gauge

   Yongjin Choi, Donghyun Ahn, Yunje Lee, and 1 more author

   Sustainability, 2020

   DOI

2019

1. Resilient Modulus and Permanent Deformation of 40-mm Open-Graded Aggregates based on Repeated-Load Triaxial Tests

   Yongjin Choi, Tan Hung Nguyen, and Jaehun Ahn

   Journal of the Korean Society of Hazard Mitigation, 2019

   DOI

2018

1. Coefficient of subgrade reaction for the permeable block and base system at Korea GI and LID center

   Yong-Jin Choi, Seungjun Lee, Jeongho Oh, and 2 more authors

   In Civil Infrastructures Confronting Severe Weathers and Climate Changes Conference, 2018

   DOI
2. Assessment of field compaction of aggregate base materials for permeable pavements based on plate load tests

   Yong-Jin Choi, Donghyun Ahn, Tan Hung Nguyen, and 1 more author

   Sustainability, 2018

   DOI

2017

1. Elastic modulus and layer coefficient of permeable block pavements based on plate load tests

   Yong-Jin Choi, Jeong-Ho Oh, Shin-In Han, and 2 more authors

   Journal of the Korean Geotechnical Society, 2017

   DOI