关注
Yajie Bao
Yajie Bao
Research Scientist, Intelligent Fusion Technology, Inc.; Ph.D. in ECE, UGA
在 intfusiontech.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1332019
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
302020
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
202020
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
192020
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
142022
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
102023
Safe Control of Nonlinear Systems in LPV Framework using Model-based Reinforcement Learning
Y Bao, J Mohammadpour Velni
International Journal of Control, 2022
102022
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
92022
Data-driven linear parameter-varying model identification using transfer learning
Y Bao, JM Velni
IEEE Control Systems Letters 5 (5), 1579-1584, 2020
92020
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
62022
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
62022
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
52023
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
52021
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
42023
Model-free Control Design Using Policy Gradient Reinforcement Learning in LPV Framework
Y Bao, J Mohammadpour Velni
2021 European Control Conference (ECC), 2021
42021
Confidence-based Interactable Neural-symbolic Visual Question Answering
Y Bao, T Xing, X Chen
Neurocomputing 564, 2023
32023
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
32022
An information-theoretic metric of transferability for task transfer learning
Y Bao, Y Li, SL Huang, L Zhang, AR Zamir, LJ Guibas
32018
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
22023
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
22022
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