activity
20162025
most citedCrack propagation in quasi-brittle materials by fourth-order phase-field cohesive zone model

46 citations · 87 across the 10 of their papers we have counts for

collaborators

17 papers

cs.AI2025

V-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics Exams

Duong Q. Nguyen, Quy P. Nguyen, Nguyen Van Nhon +2

This paper develops an autonomous agentic framework called V-Math that aims to assist Vietnamese high school students in preparing for the National High School Graduation Mathemati…

cs.CE2023

Polytopal composite finite elements for modeling concrete fracture based on nonlocal damage models

Hai D. Huynh, S. Natarajan, H. Nguyen-Xuan +1

The paper presents an assumed strain formulation over polygonal meshes to accurately evaluate the strain fields in nonlocal damage models. An assume strained technique based on the…

cs.CV2023★ 2 cited

Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach

Duong Q. Nguyen, Thinh D. Le, Phuong D. Nguyen +2

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications. In this paper, we propose an efficient appr…

math.NA2023

Elasto-plastic large deformation analysis of multi-patch thin shells by isogeometric approach

Giang Huynh, Xiaoying Zhuang, Hoang-Giang Bui +2

This paper studies elasto-plastic large deformation behavior of thin shell structures using the isogeometric computational approach with the main focus on the efficiency in modelli…

cs.CV2023

Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures

Phuong D. Nguyen, Thinh D. Le, Duong Q. Nguyen +2

In this study, we emphasize the integration of a pre-trained MICA model with an imperfect face dataset, employing a self-supervised learning approach. We present an innovative meth…

cs.CV2023

3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes

Phuong D. Nguyen, Thinh D. Le, Duong Q. Nguyen +3

This study explores the potential of a fully convolutional mesh autoencoder model for regenerating 3D nature faces with the presence of imperfect areas. We utilize deep learning ap…