1 code implementation • 28 Dec 2023 • Yifeng Huang, Duc DUy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai
To develop and evaluate our approach, we introduce a diverse and realistic dataset consisting of real-world data from 37 subjects and 50 action categories, encompassing both sensor and audio data.
no code implementations • 24 Jun 2023 • Linh Vu, Lam Nguyen, Mahmoud Abdelaal, Tuyen Vu, Osama Mohammed
This paper presents a novel Cyber-Hardware-in-the-Loop (Cyber-HIL) platform for assessing control operation in ship cyber-physical systems.
no code implementations • NeurIPS 2021 • Quoc Tran Dinh, Nhan Pham, Dzung Phan, Lam Nguyen
These new algorithms can handle statistical and sys- tem heterogeneity, which are the two main challenges in federated learning, while achieving the best known communication complexity.
no code implementations • NeurIPS 2020 • Quoc Tran Dinh, Deyi Liu, Lam Nguyen
We develop a novel and single-loop variance-reduced algorithm to solve a class of stochastic nonconvex-convex minimax problems involving a nonconvex-linear objective function, which has various applications in different fields such as ma- chine learning and robust optimization.
no code implementations • 11 Dec 2018 • Dung N. Tran, Trac. D. Tran, Lam Nguyen
Ultra-wideband (UWB) radar systems nowadays typical operate in the low frequency spectrum to achieve penetration capability.
1 code implementation • 4 Oct 2018 • Tiep Vu, Lam Nguyen, Vishal Monga
Using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar (SAR) technology for detecting buried and obscured targets, e. g. bomb or mine, has been successfully demonstrated recently.
no code implementations • 16 Jan 2018 • Tiep Vu, Lam Nguyen, Tiantong Guo, Vishal Monga
The classification problem has been firstly, and partially, addressed by sparse representation-based classification (SRC) method which can extract noise from signals and exploit the cross-channel information.