Design and implementation of an autonomous robot for steel bridge inspection. - Nhan H. Pham; Hung M. La (Allerton, 2016)

Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection. - Tuan Le; Spencer Gibb; Nhan H. Pham; Hung Manh La; Logan Falk; Tony Berendsen (ICRA, 2017)

A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization. - Quoc Tran-Dinh; Nhan H. Pham; Dzung T. Phan; Lam M. Nguyen (CoRR, 2019)

Automated robotic monitoring and inspection of steel structures and bridges. - Hung Manh La; Tran Hiep Dinh; Nhan H. Pham; Quang Phuc Ha; Anh Quyen Pham (Robotica, 2019)

A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. - Nhan H. Pham; Lam M. Nguyen; Dzung T. Phan; Phuong Ha Nguyen; Marten van Dijk; Quoc Tran-Dinh (AISTATS, 2020)

Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. - Quoc Tran-Dinh; Nhan H. Pham; Lam M. Nguyen (ICML, 2020)

Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. - Thinh T. Doan 001; Lam M. Nguyen; Nhan H. Pham; Justin Romberg (CoRR, 2020)

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. - Nhan H. Pham; Lam M. Nguyen; Dzung T. Phan; Quoc Tran-Dinh (J. Mach. Learn. Res., 2020)

Regression Optimization for System-level Production Control. - Dzung T. Phan; Lam M. Nguyen; Pavankumar Murali; Nhan H. Pham; Hongsheng Liu; Jayant R. Kalagnanam (ACC, 2021)

FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. - Quoc Tran-Dinh; Nhan H. Pham; Dzung T. Phan; Lam M. Nguyen (NeurIPS, 2021)

Federated Learning with Randomized Douglas-Rachford Splitting Methods. - Nhan H. Pham; Lam M. Nguyen; Dzung T. Phan; Quoc Tran-Dinh (CoRR, 2021)

New stochastic and Randomized Algorithms for Nonconvex Optimization in Machine Learning. - Nhan H. Pham (2021)

Evaluating Robustness of Cooperative MARL: A Model-based Approach. - Nhan H. Pham; Lam M. Nguyen; Jie Chen; Hoang Thanh Lam; Subhro Das; Tsui-Wei Weng (CoRR, 2022)

A hybrid stochastic optimization framework for composite nonconvex optimization. - Quoc Tran-Dinh; Nhan H. Pham; Dzung T. Phan; Lam M. Nguyen (Math. Program., 2022)

Attacking c-MARL More Effectively: A Data Driven Approach. - Nhan H. Pham; Lam M. Nguyen; Jie Chen; Hoang Thanh Lam; Subhro Das; Tsui-Wei Weng (ICDM, 2023)

The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. - Quan Xiao; Debarun Bhattacharjya; Balaji Ganesan; Radu Marinescu 002; Katsiaryna Mirylenka; Nhan H. Pham; Michael R. Glass; Junkyu Lee 001 (UAI, 2025)