Yajie Bao
Orcid: 0000-0001-8773-926X
According to our database1,
Yajie Bao
authored at least 28 papers
between 2019 and 2024.
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Bibliography
2024
Neurocomputing, January, 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
A learning- and scenario-based MPC design for nonlinear systems in LPV framework with safety and stability guarantees.
Int. J. Control, 2024
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks.
CoRR, 2024
CoRR, 2024
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
RNN-UKF: Enhancing Hyperparameter Auto-Tuning in Unscented Kalman Filters through Recurrent Neural Networks.
Proceedings of the 27th International Conference on Information Fusion, 2024
2023
Comput. Stat. Data Anal., December, 2023
Safe control of nonlinear systems in LPV framework using model-based reinforcement learning.
Int. J. Control, April, 2023
A Hybrid Neural Network Approach for Adaptive Scenario-Based Model Predictive Control in the LPV Framework.
IEEE Control. Syst. Lett., 2023
Resilient Range-Only Cooperative Positioning of Multiple Smart Unmanned Aerial Systems.
Proceedings of the Security and Privacy in Cyber-Physical Systems and Smart Vehicles, 2023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Scenario-Based Hybrid Model Predictive Design for Cooperative Adaptive Cruise Control in Mixed-Autonomy Environments.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems.
Proceedings of the European Control Conference, 2022
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction.
Proceedings of the European Control Conference, 2022
Physics-guided and Energy-based Learning of Interconnected Systems: from Lagrangian to Port-Hamiltonian Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks.
Proceedings of the American Control Conference, 2022
2021
Epistemic Uncertainty Quantification in State-Space LPV Model Identification Using Bayesian Neural Networks.
IEEE Control. Syst. Lett., 2021
IEEE Control. Syst. Lett., 2021
Model-free Control Design Using Policy Gradient Reinforcement Learning in LPV Framework.
Proceedings of the 2021 European Control Conference, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019