Anh Tran Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI

Researcher

University of Arkansas

Last publication 2025 Last refreshed 2026-05-23

faculty

16 h-index 111 pubs 1,635 cited

Research Areas

Links

ORCID Lab Website

OverviewAI-generated summary

Anh Tran's research focuses on the application of machine learning and artificial intelligence techniques to various scientific and engineering challenges. Tran has published work on improving generative adversarial networks (GANs) through hypernetworks, as seen in the publication 'HyperInverter: Improving StyleGAN Inversion via Hypernetwork.' Further contributions include research into open-vocabulary 3D instance segmentation using 2D mask guidance, detailed in 'Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance.'

Tran's work also extends to the domain of autonomous driving, with a survey paper titled 'Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.' The researcher has also investigated adversarial attacks in machine learning, specifically in the context of clean-label backdoor attacks, as presented in 'COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks.' Additionally, Tran has been involved in research concerning unsupervised learning for single-view 3D object reconstruction and the use of machine learning for identifying endocrine-disrupting potential from single-cell data.

With a h-index of 16 and over 1,600 citations across 111 publications, Tran's scholarly output demonstrates significant engagement in the field. The researcher has also secured federal funding, including an NSF I-Corps grant for $50,000 focused on developing servomotor actuators through advances in metallic additive manufacturing. Key collaborators include Minh Quan Tran, Minh Trần, Taisei Hanyu, and Alan Mantooth, all from the University of Arkansas at Fayetteville, with whom Tran has co-authored multiple publications.

Metrics

h-index: 16
Publications: 111
Citations: 1,635

Selected Publications

Markov models in uncertainty quantification (2025)

DOI OpenAlex
Nonprobabilistic methods in uncertainty quantification (2025)

DOI OpenAlex
Semise: Semi-supervised learning for severity representation in medical image (2025)

DOI OpenAlex
Enhancing Educational Email Management Efficiency Using Deep Learning (2024)

DOI OpenAlex
LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations (2024)

DOI OpenAlex
A Meta-Heuristic Approach for Enhancing Performance of Associative Classification (2024)

DOI OpenAlex
EFHQ: Multi-Purpose ExtremePose-Face-HQ Dataset (2024)

3 citations DOI OpenAlex
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance (2024)

46 citations DOI OpenAlex
SolarFormer: Multi-scale Transformer for Solar PV Profiling (2024)

5 citations DOI OpenAlex
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks (2024)

14 citations DOI OpenAlex
Lyapunov-Based Controller for Bilinear Model Applied to Gas-Fired Furnace (2024)

DOI OpenAlex
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding (2024)

1 citation DOI OpenAlex
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset (2023)

DOI OpenAlex
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance (2023)

2 citations DOI OpenAlex
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models (2023)

DOI OpenAlex