7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kiet Van Nguyen3 profiles21 · h 21
- N. Nguyen17 · h 22
- Son T. Luu2 profiles17 · h 10
- Nguyen Tri Toan Phuc2 profiles14 · h 4
- Quan M. Nguyen13 · h 9
- Trung-Nghia Le2 profiles12 · h 17
- Minh-Triet Tran3 profiles9 · h 11
- Tam V. Nguyen2 profiles9 · h 30
- A. Peleg8 · h 15
- Dieu D. Nguyen8 · h 13
- M. Tran2 profiles8 · h 24
- Phong Quoc Vo8 · h 2
- Ho Chi Minh City University of ScienceVN125 papers
- Ho Chi Minh City University of TechnologyVN29 papers
- Ho Chi Minh City International UniversityVN26 papers
- Ho Chi Minh City University of EducationVN14 papers
- Vietnam Academy of Science and TechnologyVN14 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- The University of TokyoJP10 papers
- Institute for Nuclear Science and TechnologyVN9 papers
- University of DaytonUS9 papers
- Vietnam National University, HanoiVN9 papers
- Tohoku UniversityJP8 papers
- Ton Duc Thang UniversityVN8 papers
31 papers · 1 filter
Abusive Span Detection for Vietnamese Narrative Texts
Nhu-Thanh Nguyen, Khoa Thi-Kim Phan, Duc-Vu Nguyen +1
Abuse in its various forms, including physical, psychological, verbal, sexual, financial, and cultural, has a negative impact on mental health. However, there are limited studies o…
ALGNet: Attention Light Graph Memory Network for Medical Recommendation System
Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh +1
Medication recommendation is a vital task for improving patient care and reducing adverse events. However, existing methods often fail to capture the complex and dynamic relationsh…
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification
Neetu Sigger, Tuan Thanh Nguyen, Gianluca Tozzi +2
Hyperspectral images (HSI) have become popular for analysing remotely sensed images in multiple domain like agriculture, medical. However, existing models struggle with complex rel…
Rare and exclusive few-body decays of the Higgs, Z, W bosons, and the top quark
David d'Enterria, Van Dung Le
We perform an extensive survey of rare and exclusive few-body decays -- defined as those with branching fractions into two to four final particles --…
Decays of Standard Model like Higgs boson in a minimal left-right symmetric model
T. T. Hong, V. K. Le, L. T. T. Phuong +3
Two decay channels of the Standard Model-like Higgs in a left-right symmetry model are investigated under recent experimental data. We will show there exist o…
Determining initial conditions for nonlinear hyperbolic equations with time dimensional reduction and the Carleman contraction
Trong D. Dang, Loc H. Nguyen, Huong T. T. Vu
This paper aims to determine the initial conditions for quasi-linear hyperbolic equations that include nonlocal elements. We suggest a method where we approximate the solution of t…
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball
Rory Bunker, Vo Nguyen Le Duy, Yasuo Tabei +2
Improvements in tracking technology through optical and computer vision systems have enabled a greater understanding of the movement-based behaviour of multiple agents, including i…
An Application of Vector Autoregressive Model for Analyzing the Impact of Weather And Nearby Traffic Flow On The Traffic Volume
Anh Thi-Hoang Nguyen, Dung Ha Nguyen, Trong-Hop Do
This paper aims to predict the traffic flow at one road segment based on nearby traffic volume and weather conditions. Our team also discover the impact of weather conditions and n…
Radiative decays $D^*_{(s)}\to D_{(s)}γ$ in covariant confined quark model
Chien-Thang Tran, Mikhail A. Ivanov, Pietro Santorelli +1
Radiative decays are revisited in light of new experimental data from the \textit{BABAR} and BESIII collaborations. The radiative couplings enco…
Mechanical Attributes of Fractal Dragons
Huy T. Q. Phan, Duc M. Bui, Cong T. Than +1
Fractals are ubiquitous natural emergences that have gained increased attention in engineering applications, thanks to recent technological advancements enabling the fabrication of…
Automatic Textual Normalization for Hate Speech Detection
Anh Thi-Hoang Nguyen, Dung Ha Nguyen, Nguyet Thi Nguyen +2
Social media data is a valuable resource for research, yet it contains a wide range of non-standard words (NSW). These irregularities hinder the effective operation of NLP tools. C…
Two Higgs doublet model fitting and signal at the ILC
Hieu Minh Tran, Huong Thu Nguyen, Yoshimasa Kurihara
One of the most straightforward extensions of the standard model (SM) is having an additional Higgs doublet to the SM, namely the two Higgs doublet models(THDM). In the type-I mode…
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
A Text-based Approach For Link Prediction on Wikipedia Articles
Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu
This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles. We use traditional machine learning models with POS tags (part-of-speech tags)…
A Schrödinger Equation for Evolutionary Dynamics
Vi D. Ao, Duy V. Tran, Kien T. Pham +5
We establish an analogy between the Fokker-Planck equation describing evolutionary landscape dynamics and the Schrödinger equation which characterizes quantum mechanical particles,…
StarSRGAN: Improving Real-World Blind Super-Resolution
Khoa D. Vo, Len T. Bui
The aim of blind super-resolution (SR) in computer vision is to improve the resolution of an image without prior knowledge of the degradation process that caused the image to be lo…
Character Time-series Matching For Robust License Plate Recognition
Quang Huy Che, Tung Do Thanh, Cuong Truong Van
Automatic License Plate Recognition (ALPR) is becoming a popular study area and is applied in many fields such as transportation or smart city. However, there are still several lim…
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars
Quang Huy Che, Dinh Phuc Nguyen, Minh Quan Pham +1
Semantic segmentation is a common task in autonomous driving to understand the surrounding environment. Driveable Area Segmentation and Lane Detection are particularly important fo…
Analysis of a Crank-Nicolson finite difference scheme for (2+1)D perturbed nonlinear Schrödinger equations with saturable nonlinearity
Anh-Ha Le, Toan T. Huynh, Quan M. Nguyen
We analyze a Crank-Nicolson finite difference discretization for the perturbed (2+1)D nonlinear Schrödinger equation with saturable nonlinearity and a perturbation of cubic loss. W…
Stabilization against collapse of 2D attractive Bose-Einstein condensates with repulsive, three-body interactions
Dinh-Thi Nguyen, Julien Ricaud
We consider a trapped Bose gas of identical bosons in two dimensional space with both an attractive, two-body, scaled interaction and a repulsive, three-body, scaled interactio…
OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese
Nghia Hieu Nguyen, Duong T. D. Vo, Kiet Van Nguyen +1
In recent years, visual question answering (VQA) has attracted attention from the research community because of its highly potential applications (such as virtual assistance on int…
Complex refractive index measurements of Poly(methyl methacrylate) (PMMA) over the UV-VIS-NIR region
Pham Thi Hong, Hung Q. Nguyen, H. T. M. Nghiem
Poly(methyl methacrylate), PMMA, is a popular polymer for optical applications due to its superior transmission and reflection. However, its optical properties in the ultraviolet r…
Instance-level Few-shot Learning with Class Hierarchy Mining
Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen +3
Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to e…
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen +5
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camo…