Sparsity adaptive matching pursuit algorithm for practical compressed sensing. - Thong T. Do; Lu Gan 002; Nam H. Nguyen; Trac D. Tran (ACSCC, 2008)

A fast and efficient heuristic nuclear-norm algorithm for affine rank minimization. - Thong T. Do; Yi Chen 014; Nam H. Nguyen; Lu Gan 002; Trac D. Tran (ICASSP, 2009)

A fast and efficient algorithm for low-rank approximation of a matrix. - Nam H. Nguyen; Thong T. Do; Trac D. Tran (STOC, 2009)

Tensor sparsification via a bound on the spectral norm of random tensors - Nam H. Nguyen; Petros Drineas; Trac D. Tran (CoRR, 2010)

Robust multi-sensor classification via joint sparse representation. - Nam H. Nguyen; Nasser M. Nasrabadi; Trac D. Tran (FUSION, 2011)

Robust Lasso with missing and grossly corrupted observations. - Nam H. Nguyen; Nasser M. Nasrabadi; Trac D. Tran (NIPS, 2011)

Multi-sensor joint kernel sparse representation for personnel detection. - Nam H. Nguyen; Nasser M. Nasrabadi; Trac D. Tran (EUSIPCO, 2012)

Fast and Efficient Compressive Sensing Using Structurally Random Matrices. - Thong T. Do; Lu Gan 002; Nam H. Nguyen; Trac D. Tran (IEEE Trans. Signal Process., 2012)

Exact Recoverability From Dense Corrupted Observations via ℓ1-Minimization. - Nam H. Nguyen; Trac D. Tran (IEEE Trans. Inf. Theory, 2013)

Robust Lasso With Missing and Grossly Corrupted Observations. - Nam H. Nguyen; Trac D. Tran (IEEE Trans. Inf. Theory, 2013)

Collaborative Multi-Sensor Classification Via Sparsity-Based Representation. - Minh Dao; Nam H. Nguyen; Nasser M. Nasrabadi; Trac D. Tran (IEEE Trans. Signal Process., 2016)

When Does Stochastic Gradient Algorithm Work Well? - Lam M. Nguyen; Nam H. Nguyen; Dzung T. Phan; Jayant R. Kalagnanam; Katya Scheinberg (CoRR, 2018)

A Scale Invariant Flatness Measure for Deep Network Minima. - Akshay Rangamani; Nam H. Nguyen; Abhishek Kumar; Dzung T. Phan; Sang H. Chin; Trac D. Tran (CoRR, 2019)

Pruning Deep Neural Networks with $ ell_{0}$-constrained Optimization. - Dzung T. Phan; Lam M. Nguyen; Nam H. Nguyen; Jayant R. Kalagnanam (ICDM, 2020)

Experimental evaluation of quantum Bayesian networks on IBM QX hardware. - Sima Esfandiarpour Borujeni; Nam H. Nguyen; Saideep Nannapaneni; Elizabeth C. Behrman; James Edward Steck (QCE, 2020)

A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. - Ramkumar Harikrishnakumar; Saideep Nannapaneni; Nam H. Nguyen; James Edward Steck; Elizabeth C. Behrman (CoRR, 2020)

Experimental pairwise entanglement estimation for an N-qubit system. - Nathan L. Thompson; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Quantum Inf. Process., 2020)

Quantum learning with noise and decoherence: a robust quantum neural network. - Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Quantum Mach. Intell., 2020)

Benchmarking Neural Networks For Quantum Computations. - Nam H. Nguyen; Elizabeth C. Behrman; Mohamed A. Moustafa; James Edward Steck (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Scale Invariant Measure of Flatness for Deep Network Minima. - Akshay Rangamani; Nam H. Nguyen; Abhishek Kumar; Dzung T. Phan; Sang (Peter) Chin; Trac D. Tran (ICASSP, 2021)

Optimal fire allocation in a combat model of mixed NCW type. - My A. Vu; Nam H. Nguyen; Hanh Le T. Nguyen; Anh N. Ta; Mong H. Nguyen (CoRR, 2021)

A Strong Baseline for Vehicle Re-Identification. - Su V. Huynh; Nam H. Nguyen; Ngoc T. Nguyen; Vinh TQ. Nguyen; Chau Huynh; Chuong Nguyen (CoRR, 2021)

Quantum circuit representation of Bayesian networks. - Sima Esfandiarpour Borujeni; Saideep Nannapaneni; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Expert Syst. Appl., 2021)

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. - Yuqi Nie; Nam H. Nguyen; Phanwadee Sinthong; Jayant Kalagnanam (ICLR, 2023)

Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters. - Long H. Chu; Nam H. Nguyen (ICSSE, 2023)

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. - Zepu Wang; Yuqi Nie; Peng Sun 007; Nam H. Nguyen; John M. Mulvey; H. Vincent Poor (CoRR, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (CoRR, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (AAAI, 2024)

Finite Time Tracking Control of Uncertain Robotic Manipulator with Unknown Disturbance. - Tuan T. Nguyen; Nam H. Nguyen (ICCAIS, 2024)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. - Vijay Ekambaram; Arindam Jati; Nam H. Nguyen; Pankaj Dayama 001; Chandra Reddy; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2024)

Scaling-laws for Large Time-series Models. - Thomas D. P. Edwards; James Alvey; Justin Alsing; Nam H. Nguyen; Benjamin D. Wandelt (CoRR, 2024)

VITRO: Vocabulary Inversion for Time-series Representation Optimization. - Filippos Bellos; Nam H. Nguyen; Jason J. Corso (ICASSP, 2025)