no code implementations • 16 Feb 2024 • Hualin Zhan, Viqar Ahmad, Azul Mayon, Grace Tabi, Anh Dinh Bui, Zhuofeng Li, Daniel Walter, Hieu Nguyen, Klaus Weber, Thomas White, Kylie Catchpole
The ability to extract material parameters of perovskite from quantitative experimental analysis is essential for rational design of photovoltaic and optoelectronic applications.
no code implementations • 14 Oct 2023 • Harish Loghashankar, Hieu Nguyen
The project's primary objectives are to train the YOLOv5 model on a diverse dataset of traffic sign images and deploy the model on a suitable hardware platform capable of real-time inference.
1 code implementation • 8 Dec 2022 • AmirEhsan Khorashadizadeh, Ali Aghababaei, Tin Vlašić, Hieu Nguyen, Ivan Dokmanić
Inverse medium scattering solvers generally reconstruct a single solution without an associated measure of uncertainty.
no code implementations • 12 Oct 2022 • Kevin Xu, Hieu Nguyen
In this study, analysis was done on the Naperville/Bolingbrook real estate market to predict property prices based on these housing attributes through machine learning models, and to evaluate the effectiveness of such models in a volatile market space.
2 code implementations • 11 Oct 2022 • Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong
We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation.
Ranked #1 on Machine Translation on IWSLT2015 English-Vietnamese (using extra training data)
no code implementations • 16 Aug 2022 • Phuong Ngo, Christan Thomas, Hieu Nguyen, Abdullah Eroglu, Konstantinos Oikonomou
This paper aims to implement and evaluate the performance of quantum computing on solving combinatorial optimization problems arising from the operations of the power grid.
no code implementations • 4 Jun 2022 • Tin Vlašić, Hieu Nguyen, AmirEhsan Khorashadizadeh, Ivan Dokmanić
In this paper, we introduce an implicit neural representation-based framework for solving the inverse obstacle scattering problem in a mesh-free fashion.
1 code implementation • NAACL (ACL) 2022 • Long Phan, Hieu Tran, Hieu Nguyen, Trieu H. Trinh
In this work, we perform exhaustive experiments on both Vietnamese Abstractive Summarization and Named Entity Recognition, validating the performance of ViT5 against many other pretrained Transformer-based encoder-decoder models.
1 code implementation • Blog 2022 • Chinh Ngo, Hieu Tran, Long Phan, Trieu H. Trinh, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong
We are excited to introduce a new larger and better quality Machine Translation dataset, MTet, which stands for Multi-domain Translation for English and VieTnamese.
no code implementations • 8 Oct 2021 • Hieu Nguyen, Long Phan, James Anibal, Alec Peltekian, Hieu Tran
Text summarization is a challenging task within natural language processing that involves text generation from lengthy input sequences.
1 code implementation • ACL (NLP4Prog) 2021 • Long Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James Anibal, Alec Peltekian, Yanfang Ye
We train CoTexT on different combinations of available PL corpus including both "bimodal" and "unimodal" data.
no code implementations • 3 Feb 2021 • Jean-Guy Caputo, Valerie Girardin, Arnaud Knippel, Hieu Nguyen, Nathalie Niquil, Quentin Nogues
We introduce a methodology to study the possible matter flows of an ecosystem defined by observational biomass data and realistic biological constraints.
Adaptation and Self-Organizing Systems Optimization and Control
1 code implementation • 9 Feb 2020 • Han B. Kim, Hieu Nguyen, Qingchu Jin, Sharmila Tamby, Tatiana Gelaf Romer, Eric Sung, Ran Liu, Joseph Greenstein, Jose I. Suarez, Christian Storm, Raimond Winslow, Robert D. Stevens
Combined EHR-PTS24 models had higher discrimination (area under the receiver operating characteristic curve [AUC]) than models which used either EHR or PTS24 alone, for the prediction of survival (AUC 0. 85, 0. 80 and 0. 68 respectively) and neurological outcome (0. 87, 0. 83 and 0. 78).
no code implementations • 17 Sep 2019 • Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhao-Yang Wang
A robust single-shot 3D shape reconstruction technique integrating the fringe projection profilometry (FPP) technique with the deep convolutional neural networks (CNNs) is proposed in this letter.