| 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 | 134 | 2022 |
| Rmsprop converges with proper hyperparameter N Shi, D Li International conference on learning representation, 2021 | 119 | 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 | 95 | 2021 |
| Fed-ensemble: Improving generalization through model ensembling in federated learning N Shi, F Lai, RA Kontar, M Chowdhury arXiv preprint arXiv:2107.10663, 2021 | 49 | 2021 |
| Personalized pca: Decoupling shared and unique features N Shi, R Al Kontar Journal of machine learning research 25 (41), 1-82, 2024 | 36 | 2024 |
| Fed-ensemble: 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 21 (3), 2792-2803, 2023 | 27 | 2023 |
| Personalized federated learning via domain adaptation with an application to distributed 3D printing N Shi, RA Kontar Technometrics 65 (3), 328-339, 2023 | 25 | 2023 |
| Personalized dictionary learning for heterogeneous datasets G Liang, N Shi, R Al Kontar, S Fattahi Advances in Neural Information Processing Systems 36, 50859-50878, 2023 | 12 | 2023 |
| Heterogeneous matrix factorization: When features differ by datasets N Shi, RA Kontar, S Fattahi arXiv preprint arXiv:2305.17744, 2023 | 10 | 2023 |
| 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 | 5 | 2024 |
| Personalized dictionary learning for heterogeneous datasets G Liang, N Shi Advances in neural information processing systems, 2024 | 5 | 2024 |
| Triple component matrix factorization: Untangling global, local, and noisy components N Shi, S Fattahi, R Al Kontar Journal of machine learning research 25 (332), 1-76, 2024 | 4 | 2024 |
| Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data J Hu, N Shi, R Al Kontar, H Yan Technometrics, 1-17, 2025 | 3 | 2025 |
| Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics N Shi, H Yan, S Guo, RA Kontar arXiv preprint arXiv:2407.17720, 2024 | 3 | 2024 |
| Diffusion-based surrogate modeling and multi-fidelity calibration N Shi, H Yan, S Guo, R Al Kontar IEEE Transactions on Automation Science and Engineering, 2025 | 2 | 2025 |
| Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models H Song, R Ji, N Shi, F Lai, RA Kontar arXiv preprint arXiv:2506.09684, 2025 | 1 | 2025 |
| 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 | 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 |
| ALBATROSS: Cheap Filtration Based Geometry via Stochastic Sub-Sampling AJ Stier, N Shi, RA Kontar, C Giusti, MG Berman arXiv preprint arXiv:2509.03681, 2025 | | 2025 |
| Personalized and Distributed Data Analytics in Heterogeneous Environments N Shi | | 2025 |
