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2020 – today
- 2025
[e1]Oktie Hassanzadeh, Marco Cremaschi, Vincenzo Cutrona, Fabio D'Adda, Vasilis Efthymiou, Benno Kruit, Elita A. Lobo, Nhan H. Pham:
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 23rd International Semantic Web Conference (ISWC 2024), Baltimore, USA, November 13, 2024. CEUR Workshop Proceedings 3889, CEUR-WS.org 2025 [contents]- 2023
- [c7]Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng:
Attacking c-MARL More Effectively: A Data Driven Approach. ICDM 2023: 1271-1276 - 2022
- [j3]Quoc Tran-Dinh
, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen:
A hybrid stochastic optimization framework for composite nonconvex optimization. Math. Program. 191(2): 1005-1071 (2022) - [i6]Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng:
Evaluating Robustness of Cooperative MARL: A Model-based Approach. CoRR abs/2202.03558 (2022) - 2021
- [b1]Nhan H. Pham:
New stochastic and Randomized Algorithms for Nonconvex Optimization in Machine Learning. University of North Carolina, Chapel Hill, USA, 2021 - [c6]Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam:
Regression Optimization for System-level Production Control. ACC 2021: 5023-5028 - [c5]Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen:
FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. NeurIPS 2021: 30326-30338 - [i5]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh:
Federated Learning with Randomized Douglas-Rachford Splitting Methods. CoRR abs/2103.03452 (2021) - 2020
- [j2]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh:
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. J. Mach. Learn. Res. 21: 110:1-110:48 (2020) - [c4]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh:
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. AISTATS 2020: 374-385 - [c3]Quoc Tran-Dinh, Nhan H. Pham, Lam M. Nguyen:
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. ICML 2020: 9572-9582 - [i4]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh:
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. CoRR abs/2003.00430 (2020) - [i3]Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg:
Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. CoRR abs/2003.10973 (2020)
2010 – 2019
- 2019
- [j1]Hung Manh La, Tran Hiep Dinh, Nhan H. Pham, Quang Phuc Ha, Anh Quyen Pham:
Automated robotic monitoring and inspection of steel structures and bridges. Robotica 37(5): 947-967 (2019) - [i2]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh:
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. CoRR abs/1902.05679 (2019) - [i1]Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen:
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization. CoRR abs/1907.03793 (2019) - 2017
- [c2]Tuan Le, Spencer Gibb, Nhan H. Pham, Hung Manh La, Logan Falk, Tony Berendsen:
Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection. ICRA 2017: 3672-3677 - 2016
- [c1]Nhan H. Pham, Hung M. La:
Design and implementation of an autonomous robot for steel bridge inspection. Allerton 2016: 556-562
Coauthor Index
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