An information-theoretic approach to transferability in task transfer learning Y Bao, Y Li, SL Huang, L Zhang, L Zheng, A Zamir, L Guibas 2019 IEEE International Conference on Image Processing (ICIP), 2309-2313, 2019 | 133 | 2019 |
Epistemic uncertainty quantification in state-space LPV model identification using Bayesian neural networks Y Bao, JM Velni, M Shahbakhti IEEE Control Systems Letters 5 (2), 719-724, 2020 | 30 | 2020 |
An online transfer learning approach for identification and predictive control design with application to RCCI engines Y Bao, J Mohammadpour Velni, M Shahbakhti Dynamic systems and control conference 84270, V001T21A003, 2020 | 20 | 2020 |
Identification of State-space Linear Parameter-varying Models Using Artificial Neural Networks Y Bao, J Mohammadpour Velni, A Basina, M Shahbakhti 2020 IFAC World Congress, 2020 | 19 | 2020 |
Learning-based Adaptive-Scenario-Tree Model Predictive Control with Improved Probabilistic Safety using Robust Bayesian Neural Networks Y Bao, KJ Chan, A Mesbah, J Mohammadpour Velni International Journal of Robust and Nonlinear Control, 2022 | 14 | 2022 |
A Learning-and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees Y Bao, HS Abbas, JM Velni International Journal of Control, 2023 | 10 | 2023 |
Safe Control of Nonlinear Systems in LPV Framework using Model-based Reinforcement Learning Y Bao, J Mohammadpour Velni International Journal of Control, 2022 | 10 | 2022 |
Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks Y Bao, KJ Chan, A Mesbah, J Mohammadpour Velni The 2022 American Control Conference (ACC), 2022 | 9 | 2022 |
Data-driven linear parameter-varying model identification using transfer learning Y Bao, JM Velni IEEE Control Systems Letters 5 (5), 1579-1584, 2020 | 9 | 2020 |
An Overview of Data-driven Modeling and Learning-based Control Design Methods for Nonlinear Systems in LPV Framework Y Bao, J Mohammadpour Velni The Joint 8th IFAC Symposium on System Structure and Control, 17th IFAC …, 2022 | 6 | 2022 |
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems S Mosharafian, S Afzali, Y Bao, J Mohammadpour Velni 2022 European Control Conference (ECC), 2022 | 6 | 2022 |
Deep Learning-Enhanced Multi-Modal Sensing Platform for Robust Human Object Detection and Tracking in Challenging Environments P Cheng, Z Xiong, Y Bao, P Zhuang, Y Zhang, E Blasch, G Chen Preprints.org, 2023 | 5 | 2023 |
Physics-guided and Neural Network Learning-based Sliding Mode Control Y Bao, V Thesma, J Mohammadpour Velni 2021 Modeling, Estimation and Control Conference (MECC) 54 (20), 705-710, 2021 | 5 | 2021 |
PID-based automatic gain control for satellite transponder under partial-time partial-band AWGN jamming Y Bao, P Cheng, K Pham, E Blasch, D Shen, X Tian, G Chen Sensors and Systems for Space Applications XVI, 2023 | 4 | 2023 |
Model-free Control Design Using Policy Gradient Reinforcement Learning in LPV Framework Y Bao, J Mohammadpour Velni 2021 European Control Conference (ECC), 2021 | 4 | 2021 |
Confidence-based Interactable Neural-symbolic Visual Question Answering Y Bao, T Xing, X Chen Neurocomputing 564, 2023 | 3 | 2023 |
Physics-guided and Energy-based Learning of Interconnected Systems: from Lagrangian to Port-Hamiltonian Systems Y Bao, V Thesma, A Kelkar, J Mohammadpour Velni The 61th IEEE Conference on Decision and Control (CDC 2022), 2022 | 3 | 2022 |
An information-theoretic metric of transferability for task transfer learning Y Bao, Y Li, SL Huang, L Zhang, AR Zamir, LJ Guibas | 3 | 2018 |
A Hybrid Neural Network Approach for Adaptive Scenario-based Model Predictive Control in the LPV Framework Y Bao, J Mohammadpour Velni IEEE Control Systems Letters, 2023 | 2 | 2023 |
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction S Afzali, Y Bao, MW van Iersel, J Mohammadpour Velni 2022 European Control Conference (ECC), 2022 | 2 | 2022 |