Anh Tuan Tran
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Also affiliated: University of Southern California (2014–2019); Ford Motor Company (United States) (2020); Amazon (United States) (2019); Le Quy Don Technical University (2023); University of California, Los Angeles (2015–2019); Sandia National Laboratories California (2020–2022); University of Utah (2022); Ho Chi Minh City University of Science (2016–2017); Hue University (2025); Sandia National Laboratories (2020–2025); Robotics Research (United States) (2016); VinUniversity (2021–2025); Institut Systèmes Intelligents et de Robotique (2016); University of Economics and Law (2024); Trường Đại học Khoa học, Đại học Huế (2025); Phòng Thí nghiệm Trọng điểm Quốc gia Điều khiển số và Kỹ thuật hệ thống (2024); Ho Chi Minh City University of Technology (2024); Saigon University (2024); Nagoya University (2016–2021); Zhejiang University (2017); Texas A&M University (2022–2023)
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Biography and Research Information
OverviewAI-generated summary
Anh Tuan Tran's research interests lie in the areas of machine learning and computer vision, with a focus on applications in areas such as face recognition and image generation. His work has explored methods for improving the efficiency and effectiveness of these technologies, including the development of techniques for data augmentation and model inversion.
Tran has contributed to the field through publications on topics such as "Input-Aware Dynamic Backdoor Attack" and "HyperInverter: Improving StyleGAN Inversion via Hypernetwork." He has also investigated the necessity of large datasets for effective face recognition, as demonstrated in his publication "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?" His research also extends to predictive control of nonlinear processes, with publications detailing both the theoretical and computational aspects.
With a career total of 104 publications and 1,674 citations, Tran holds an h-index of 17. He has received federal funding from the National Science Foundation (NSF) for his work on developing servomotor actuators using advances in metallic additive manufacturing. Tran collaborates with several researchers at the University of Arkansas at Fayetteville, including Roy McCann, Minh Quan Tran, Taisei Hanyu, and H. Alan Mantooth.
Metrics
- h-index: 19
- Publications: 101
- Citations: 1,921
Selected Publications
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SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation (2025)
Federal Grants 1 $50,000 total
I-Corps: Developing servomotor actuators using advances in metallic additive manufacturing
Collaboration Network
Top Collaborators
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
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