Anh Tran Source Confirmed

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

Federal Grant PI

Researcher

University of Arkansas at Fayetteville

faculty

16 h-index 112 pubs 1,588 cited

Research Areas

Advanced Neural Network Applications Computer Vision and Image Processing Machine Learning Applications Autonomous Driving Systems Computational Frameworks and Optimization Genomics and Chromatin Dynamics Semiconductor materials and devices

Links

ORCID Lab Website

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OverviewAI-generated summary

Anh Tran's research investigates advancements in machine learning and artificial intelligence, with a particular focus on their applications in areas such as autonomous driving, computer vision, and biological data analysis. Tran has explored methods for improving image generation and manipulation, including techniques like HyperInverter for StyleGAN inversion and 3D instance segmentation using 2D mask guidance. Their work also extends to understanding and mitigating adversarial attacks on machine learning models, as demonstrated in research on clean-label backdoor attacks.

Further research contributions include the development of computational frameworks for design optimization and parameter estimation, exemplified by the Dakota framework. Tran has also applied machine learning to identify potential endocrine disruptors using single-cell data, highlighting the interdisciplinary nature of their work. Their expertise is further evidenced by a publication record of 112 papers, with 1,588 citations and an h-index of 16. Tran has received federal funding from the NSF for developing servomotor actuators through metallic additive manufacturing.

Metrics

h-index: 16
Publications: 112
Citations: 1,588

Selected Publications

Semise: Semi-supervised learning for severity representation in medical image (2025) DOI
Enhancing Educational Email Management Efficiency Using Deep Learning (2024) DOI
LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations (2024) DOI
A Meta-Heuristic Approach for Enhancing Performance of Associative Classification (2024) DOI
EFHQ: Multi-Purpose ExtremePose-Face-HQ Dataset (2024) DOI
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance (2024) DOI
SolarFormer: Multi-scale Transformer for Solar PV Profiling (2024) DOI
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks (2024) DOI
Lyapunov-Based Controller for Bilinear Model Applied to Gas-Fired Furnace (2024) DOI
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding (2024) DOI
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset (2023) DOI
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance (2023) DOI
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models (2023) DOI
Stable Messenger: Steganography for Message-Concealed Image Generation (2023) DOI
Simple Transferability Estimation for Regression Tasks (2023) DOI