| A Time Series is Worth 64Words: Long-term Forecasting with Transformers Y Nie arXiv preprint arXiv:2211.14730, 2022 | 3573 | 2022 |
| Sparsity adaptive matching pursuit algorithm for practical compressed sensing TT Do, L Gan, N Nguyen, TD Tran 2008 42nd Asilomar conference on signals, systems and computers, 581-587, 2008 | 905 | 2008 |
| Fast and efficient compressive sensing using structurally random matrices TT Do, L Gan, NH Nguyen, TD Tran IEEE Transactions on signal processing 60 (1), 139-154, 2011 | 468 | 2011 |
| Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting V Ekambaram, A Jati, N Nguyen, P Sinthong, J Kalagnanam Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 394 | 2023 |
| Distributed compressed video sensing TT Do, Y Chen, DT Nguyen, N Nguyen, L Gan, TD Tran 2009 16th IEEE International Conference on Image Processing (ICIP), 1393-1396, 2009 | 283 | 2009 |
| Estimating information flow in deep neural networks Z Goldfeld, E Berg, K Greenewald, I Melnyk, N Nguyen, B Kingsbury, ... arXiv preprint arXiv:1810.05728, 2018 | 233 | 2018 |
| Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee A Aghasi, A Abdi, N Nguyen, J Romberg arXiv preprint arXiv:1611.05162, 2016 | 232 | 2016 |
| Long-range transformers for dynamic spatiotemporal forecasting J Grigsby, Z Wang, N Nguyen, Y Qi arXiv preprint arXiv:2109.12218, 2021 | 203 | 2021 |
| Robust Lasso With Missing and Grossly Corrupted Observations N Nguyen, TD Tran IEEE TRANSACTIONS ON INFORMATION THEORY 59 (4), 2036-2058, 2013 | 185* | 2013 |
| Linear convergence of stochastic iterative greedy algorithms with sparse constraints N Nguyen, D Needell, T Woolf IEEE Transactions on Information Theory 63 (11), 6869-6895, 2017 | 124 | 2017 |
| Exact Recoverability From Dense Corrupted Observations via-Minimization NH Nguyen, TD Tran IEEE transactions on information theory 59 (4), 2017-2035, 2013 | 121 | 2013 |
| Temporal latent auto-encoder: A method for probabilistic multivariate time series forecasting N Nguyen, B Quanz Proceedings of the AAAI conference on artificial intelligence 35 (10), 9117-9125, 2021 | 113 | 2021 |
| The recoverability limit for superresolution via sparsity L Demanet, NH Nguyen arXiv:1502.01385, 2014 | 107 | 2014 |
| A fast and efficient algorithm for low-rank approximation of a matrix NH Nguyen, TT Do, TD Tran Proceedings of the forty-first annual ACM symposium on Theory of computing …, 2009 | 93 | 2009 |
| Tensor sparsification via a bound on the spectral norm of random tensors NH Nguyen, P Drineas, TD Tran Information and Inference: A Journal of the IMA 4 (3), 195-229, 2015 | 85* | 2015 |
| Robust multi-sensor classification via joint sparse representation NH Nguyen, NM Nasrabadi, TD Tran 14th International Conference on Information Fusion, 1-8, 2011 | 71 | 2011 |
| Ttms: Fast multi-level tiny time mixers for improved zero-shot and few-shot forecasting of multivariate time series V Ekambaram, A Jati, NH Nguyen, P Dayama, C Reddy, WM Gifford, ... arXiv preprint arXiv:2401.03955 7, 22, 2024 | 55 | 2024 |
| St-mlp: A cascaded spatio-temporal linear framework with channel-independence strategy for traffic forecasting Z Wang, Y Nie, P Sun, NH Nguyen, J Mulvey, HV Poor arXiv preprint arXiv:2308.07496, 2023 | 51 | 2023 |
| Ai foundation models for weather and climate: Applications, design, and implementation SK Mukkavilli, DS Civitarese, J Schmude, J Jakubik, A Jones, N Nguyen, ... arXiv preprint arXiv:2309.10808, 2023 | 38 | 2023 |
| Collaborative multi-sensor classification via sparsity-based representation M Dao, NH Nguyen, NM Nasrabadi, TD Tran IEEE Transactions on Signal Processing 64 (9), 2400-2415, 2016 | 35 | 2016 |
Trac D. TranProsessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
