| Lyapunov functions for nabla discrete fractional order systems Y Wei, Y Chen, T Liu, Y Wang ISA transactions 88, 82-90, 2019 | 62 | 2019 |
| Sufficient and necessary conditions for stabilizing singular fractional order systems with partially measurable state Y Wei, J Wang, T Liu, Y Wang Journal of the Franklin Institute 356 (4), 1975-1990, 2019 | 54 | 2019 |
| Meta-ADD: A meta-learning based pre-trained model for concept drift active detection H Yu, Q Zhang, T Liu, J Lu, Y Wen, G Zhang Information Sciences 608, 996-1009, 2022 | 43 | 2022 |
| Fractional central difference Kalman filter with unknown prior information T Liu, S Cheng, Y Wei, A Li, Y Wang Signal Processing 154, 294-303, 2019 | 35 | 2019 |
| Fully parametric identification for continuous time fractional order Hammerstein systems J Wang, Y Wei, T Liu, A Li, Y Wang Journal of the Franklin Institute 357 (1), 651-666, 2020 | 31 | 2020 |
| A novel orthogonalized fractional order filtered-x normalized least mean squares algorithm for feedforward vibration rejection W Yin, Y Wei, T Liu, Y Wang Mechanical Systems and Signal Processing 119, 138-154, 2019 | 30 | 2019 |
| Automatic learning to detect concept drift H Yu, T Liu, J Lu, G Zhang arXiv preprint arXiv:2105.01419, 2021 | 15 | 2021 |
| State estimation for nonlinear discrete–time fractional systems: A Bayesian perspective T Liu, Y Wei, W Yin, Y Wang, Q Liang Signal Processing 165, 250-261, 2019 | 14 | 2019 |
| Fixed pole based modeling and simulation schemes for fractional order systems Y Wei, J Wang, T Liu, Y Wang ISA transactions 84, 43-54, 2019 | 13 | 2019 |
| Statistical generalization performance guarantee for meta-learning with data dependent prior T Liu, J Lu, Z Yan, G Zhang Neurocomputing 465, 391-405, 2021 | 12 | 2021 |
| PAC-Bayes bounds for meta-learning with data-dependent prior T Liu, J Lu, Z Yan, G Zhang arXiv preprint arXiv:2102.03748, 2021 | 12 | 2021 |
| Demystify optimization and generalization of over-parameterized pac-bayesian learning W Huang, C Liu, Y Chen, T Liu, RY Da Xu arXiv preprint arXiv:2202.01958, 2022 | 4 | 2022 |
| Robust gaussian process regression with input uncertainty: A pac-bayes perspective T Liu, J Lu, Z Yan, G Zhang IEEE Transactions on Cybernetics, 2022 | 3 | 2022 |
| PAC-Bayes Bound on Gaussian Process and Meta-learning: Theory, Models and Algorithms T Liu | | 2023 |
| Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making T Liu, J Lu, Z Yan, G Zhang arXiv preprint arXiv:2210.08486, 2022 | | 2022 |
| Satisfactory optimization design for fractional order PID controller T Liu, Y Jia, W Jin, Y Wang International Design Engineering Technical Conferences and Computers and …, 2019 | | 2019 |
| Fractional Order System Identification via Lebesgue Sampling J Wang, Y Wei, T Liu, Y Zhao, Y Wang Proceedings of International Conference on Fractional Differentiation and …, 2018 | | 2018 |
Yong WANGUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
