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Author

Nhan H. Pham

Observed names: Nhan H Pham, Nhan Pham, Pham, Nhan, Pham, Nhan H, Pham, Nhan H., Pham, Nhan Huu
Observed institutions: University of North Carolina at Chapel Hill, University of Nevada, Reno, IBM (United States), Ho Chi Minh City University of Education, Alliance for Safe Kids, IBM Research - Thomas J. Watson Research Center
ORCID: 0000-0002-4490-8649
Observed ORCID: 0000-0002-4490-8649
OpenAlex ID: A5011485086
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
2019 · Pham, Nhan H, Nguyen, Lam M., et al. · arXiv (Cornell University) · 78
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Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection
2017 · Tuan Le, Spencer Gibb, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 55
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Design and implementation of an autonomous robot for steel bridge inspection
2016 · Nhan H. Pham, Hung M. La · Allerton Conference on Communication, Control, and Computing · 42
A hybrid stochastic optimization framework for composite nonconvex optimization
2021 · Quoc Tran-Dinh, Nhan H. Pham, et al. · Mathematical Programming · 32
Visual and 3D Mapping for Steel Bridge Inspection Using a Climbing Robot
2016 · Nhan H. Pham, Hung M. La, et al. · International Symposium on Automation and Robotics in Construction (ISARC) · 27
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Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization
2019 · Tran-Dinh, Quoc, Pham, Nhan H., et al. · arXiv (Cornell University) · 26
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FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
2021 · Tran-Dinh, Quoc, Pham, Nhan H., et al. · arXiv (Cornell University) · 15
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Convergence Rates of Accelerated Markov Gradient Descent with Applications in Reinforcement Learning
2020 · Doan, Thinh T., Nguyen, Lam M., et al. · arXiv (Cornell University) · 12
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A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
2020 · Pham, Nhan H., Nguyen, Lam M., et al. · arXiv (Cornell University) · 9
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A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization
2019 · Tran-Dinh, Quoc, Pham, Nhan H., et al. · arXiv (Cornell University) · 9
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Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness
2020 · Doan, Thinh T., Nguyen, Lam M., et al. · arXiv (Cornell University) · 8
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Attacking c-MARL More Effectively: A Data Driven Approach
2023 · Nhan H. Pham, Lam M. Nguyen, et al. · Proceedings · 6
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FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
2021 · Quoc Tran Dinh, Nhan H. Pham, et al. · neural information processing systems · 5
Regression Optimization for System-level Production Control
2021 · Dzung T. Phan, Lam M. Nguyen, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 5
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
2020 · Tran-Dinh, Quoc, Pham, Nhan H., et al. · arXiv (Cornell University) · 5
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Federated Learning with Randomized Douglas-Rachford Splitting Methods.
2021 · Nhan H. Pham, Lam M. Nguyen, et al. · arXiv (Cornell University) · 2
Mixed-Policy GRPO for Text-to-SQL with Off-Policy Data Generation
2026 · Marko Sterbentz, Michael Glass, et al. · Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM)
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ConstrainedSQL: Training LLMs for Text2SQL via Constrained Reinforcement Learning
2025 · Chen, Weiqin, Pham, Nhan Huu, et al. · arXiv (Cornell University)
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The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
2025 · Xiao, Quan, Bhattacharjya, Debarun, et al. · arXiv (Cornell University)
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Constructing Model for Entity Extraction from Specification Documents of the Database
2024 · Giang Ma, Nhan Pham, et al. · DS Journal of Digital Science and Technology
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Matching Table Metadata with Business Glossaries Using Large Language Models
2023 · Lobo, Elita, Hassanzadeh, Oktie, et al. · arXiv (Cornell University)
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Works count: 23
Citation count: 337
H-index: 9
I10-index: 8
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