| 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 |
| Gifair-fl: A framework for group and individual fairness in federated learning X Yue, M Nouiehed, R Al Kontar INFORMS Journal on Data Science 2 (1), 10-23, 2023 | 93 | 2023 |
| Why non-myopic Bayesian optimization is promising and how far should we look-ahead? A study via rollout X Yue, RAL Kontar International Conference on Artificial Intelligence and Statistics, 2808-2818, 2020 | 65* | 2020 |
| Self-scalable tanh (stan): Multi-scale solutions for physics-informed neural networks R Gnanasambandam, B Shen, J Chung, X Yue, Z Kong IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12 …, 2023 | 57* | 2023 |
| Joint models for event prediction from time series and survival data X Yue, RA Kontar Technometrics 63 (4), 477-486, 2021 | 39* | 2021 |
| Federated Gaussian process: Convergence, automatic personalization and multi-fidelity modeling X Yue, R Kontar IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (6), 4246-4261, 2024 | 27 | 2024 |
| Federated data analytics: A study on linear models X Yue, RA Kontar, AME Gomez IISE Transactions 56 (1), 16-28, 2024 | 21 | 2024 |
| SALR: Sharpness-aware learning rate scheduler for improved generalization X Yue, M Nouiehed, R Al Kontar IEEE Transactions on Neural Networks and Learning Systems 35 (9), 12518-12527, 2023 | 21 | 2023 |
| Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling B Liu, X Yue, E Byon, RA Kontar The Annals of Applied Statistics 16 (3), 1795-1821, 2022 | 17 | 2022 |
| Collaborative and distributed bayesian optimization via consensus X Yue, Y Liu, AS Berahas, BN Johnson, R Al Kontar IEEE Transactions on Automation Science and Engineering, 2025 | 12* | 2025 |
| Optimize to generalize in Gaussian processes: An alternative objective based on the Rényi divergence X Yue, R Al Kontar IISE Transactions 56 (6), 600-610, 2024 | 11* | 2024 |
| Scalable Accelerated Materials Discovery of Sustainable Polysaccharide-Based Hydrogels by Autonomous Experimentation and Collaborative Learning Y Liu, X Yue, J Zhang, Z Zhai, A Moammeri, KJ Edgar, AS Berahas, ... ACS Applied Materials & Interfaces 16 (51), 70310-70321, 2024 | 4 | 2024 |
| Bayesian federated causal inference and its application in manufacturing X Xiao, K Alharbi, P Zhang, H Qin, X Yue Journal of Intelligent Manufacturing, 1-25, 2025 | 2 | 2025 |
| Federated data analytics: Theory and application X Yue | 1 | 2023 |
| Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data J Chen, Y Ma, X Yue IEEE Transactions on Artificial Intelligence, 2025 | | 2025 |
| Toward Temporal Causal Representation Learning with Tensor Decomposition J Chen, M Zhao, MR Gahrooei, X Yue arXiv preprint arXiv:2507.14126, 2025 | | 2025 |
| Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations X Xiao, B Shen, X Yue arXiv preprint arXiv:2507.09742, 2025 | | 2025 |
| Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning C Jeong, X Yue, S Chung arXiv preprint arXiv:2503.13404, 2025 | | 2025 |
| Toward Temporal Causal Representation Learning with Tensor Decomposition: A Study on EHR Data J Chen, M Zhao, M Reisi-Gahrooei, X Yue Available at SSRN 5413905, 0 | | |
Raed Al KontarAssociate Professor at University of MichiganVerified email at umich.edu
