| ProxSARAH: An efficient algorithmic framework for stochastic composite nonconvex optimization NH Pham, LM Nguyen, DT Phan, Q Tran-Dinh Journal of Machine Learning Research 21 (110), 1-48, 2020 | 135 | 2020 |
| Automated robotic monitoring and inspection of steel structures and bridges HM La, TH Dinh, NH Pham, QP Ha, AQ Pham Robotica 37 (5), 947-967, 2019 | 119 | 2019 |
| Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection T Le, S Gibb, N Pham, HM La, L Falk, T Berendsen 2017 IEEE International Conference on Robotics and Automation (ICRA), 3672-3677, 2017 | 60 | 2017 |
| A hybrid stochastic optimization framework for composite nonconvex optimization Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen Mathematical Programming 191 (2), 1005-1071, 2022 | 56 | 2022 |
| Design and implementation of an autonomous robot for steel bridge inspection NH Pham, HM La 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 55 | 2016 |
| Hybrid stochastic gradient descent algorithms for stochastic nonconvex optimization Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen arXiv preprint arXiv:1905.05920, 2019 | 51 | 2019 |
| Visual and 3d mapping for steel bridge inspection using a climbing robot NH Pham, HM La, QP Ha, SN Dang, AH Vo, QH Dinh ISARC 2016-33rd International Symposium on Automation and Robotics in …, 2016 | 40 | 2016 |
| FedDR–randomized Douglas-Rachford splitting algorithms for nonconvex federated composite optimization Q Tran Dinh, NH Pham, D Phan, L Nguyen Advances in Neural Information Processing Systems 34, 30326-30338, 2021 | 30 | 2021 |
| Stochastic gauss-newton algorithms for nonconvex compositional optimization Q Tran-Dinh, N Pham, L Nguyen International Conference on Machine Learning, 9572-9582, 2020 | 26 | 2020 |
| A hybrid stochastic policy gradient algorithm for reinforcement learning N Pham, L Nguyen, D Phan, PH Nguyen, M Dijk, Q Tran-Dinh International Conference on Artificial Intelligence and Statistics, 374-385, 2020 | 24 | 2020 |
| Convergence rates of accelerated markov gradient descent with applications in reinforcement learning TT Doan, LM Nguyen, NH Pham, J Romberg arXiv preprint arXiv:2002.02873, 2020 | 24 | 2020 |
| Finite-time analysis of stochastic gradient descent under markov randomness TT Doan, LM Nguyen, NH Pham, J Romberg arXiv preprint arXiv:2003.10973, 2020 | 22 | 2020 |
| Regression optimization for system-level production control DT Phan, LM Nguyen, P Murali, NH Pham, H Liu, JR Kalagnanam 2021 American Control Conference (ACC), 5023-5028, 2021 | 6 | 2021 |
| c-MBA: Adversarial attack for cooperative MARL using learned dynamics model NH Pham, LM Nguyen, J Chen, HT Lam, S Das, L Weng NeurIPS ML Safety Workshop, 2022 | 3 | 2022 |
| Evaluating robustness of cooperative marl: A model-based approach NH Pham, LM Nguyen, J Chen, HT Lam, S Das, TW Weng arXiv preprint arXiv:2202.03558, 2022 | 3 | 2022 |
| Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models N Mihindukulasooriya, S Dash, S Bagchi, MFM Chowdhury, AM Gliozzo, ... Proceedings of the ISWC, 2023 | 1 | 2023 |
| Site-wide optimization for mixed regression models and mixed control variables DT Phan, NH Pham, LM Nguyen US Patent App. 17/330,363, 2022 | 1 | 2022 |
| ADVERSARIAL ATTACKS FOR IMPROVING COOPERATIVE MULTI-AGENT REINFORCEMENT LEARNING SYSTEMS NH Pham, LM Nguyen, J Chen, TL Hoang, S Das US Patent App. 17/951,870, 2024 | | 2024 |
| Attacking c-marl more effectively: A data driven approach NH Pham, LM Nguyen, J Chen, HT Lam, S Das, TW Weng 2023 IEEE International Conference on Data Mining (ICDM), 1271-1276, 2023 | | 2023 |
| Matching Table Metadata with Business Glossaries Using Large Language Models E Lobo, O Hassanzadeh, N Pham, N Mihindukulasooriya, D Subramanian, ... arXiv preprint arXiv:2309.11506, 2023 | | 2023 |
Lam M. NguyenStaff Research Scientist at IBM Research; PI of MIT-IBM Watson AI; IBM Master Inventor確認したメール アドレス: ibm.com
