| Rmsprop converges with proper hyperparameter N Shi, D Li International conference on learning representation, 2021 | 50 | 2021 |
| The internet of federated things (ioft) R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ... IEEE Access 9, 156071-156113, 2021 | 47 | 2021 |
| Adam can converge without any modification on update rules Y Zhang, C Chen, N Shi, R Sun, ZQ Luo Advances in neural information processing systems 35, 28386-28399, 2022 | 39 | 2022 |
| Fed-ensemble: Improving generalization through model ensembling in federated learning N Shi, F Lai, RA Kontar, M Chowdhury arXiv preprint arXiv:2107.10663, 2021 | 32 | 2021 |
| Personalized pca: Decoupling shared and unique features N Shi, RA Kontar arXiv preprint arXiv:2207.08041, 2022 | 12 | 2022 |
| Personalized federated learning via domain adaptation with an application to distributed 3D printing N Shi, RA Kontar Technometrics 65 (3), 328-339, 2023 | 9 | 2023 |
| : Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification N Shi, F Lai, R Al Kontar, M Chowdhury IEEE Transactions on Automation Science and Engineering, 2023 | 8 | 2023 |
| Personalized Dictionary Learning for Heterogeneous Datasets G Liang, N Shi, R Al Kontar, S Fattahi Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Heterogeneous Matrix Factorization: When Features Differ by Datasets N Shi, RA Kontar, S Fattahi arXiv preprint arXiv:2305.17744, 2023 | 2 | 2023 |
| Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data J Hu, N Shi, RA Kontar, H Yan arXiv preprint arXiv:2309.03439, 2023 | 1 | 2023 |
| Scrofazero: Mastering trick-taking poker game gongzhu by deep reinforcement learning N Shi, R Li, S Youran arXiv preprint arXiv:2102.07495, 2021 | 1 | 2021 |
| Personalized feature extraction for manufacturing process signature characterization and anomaly detection N Shi, S Guo, R Al Kontar Journal of Manufacturing Systems 74, 435-448, 2024 | | 2024 |
| Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components N Shi, S Fattahi, RA Kontar arXiv preprint arXiv:2404.07955, 2024 | | 2024 |
| Process Signature Characterization and Anomaly Detection With Personalized PCA in Laser-Based Metal Additive Manufacturing N Shi, R Al Kontar, S Guo International Manufacturing Science and Engineering Conference 87240 …, 2023 | | 2023 |
| The internet of federated things (ioft): A vision for the future and in-depth survey of data-driven approaches for federated learning R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ... arXiv preprint arXiv:2111.05326, 2021 | | 2021 |
