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ORCIDYue Ju 0001
Person information
- affiliation: KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Department of Decision and Control Systems, Stockholm, Sweden
- affiliation: Chinese University of Hong Kong, Department of computer and information engineering, Shenzhen, China
Other persons with the same name
- Yue Ju — disambiguation page
- Yue Ju 0002
![[0009-0001-8656-8910]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0001-8656-8910")
— Beijing Institute of Technology, School of Information and Electronics, China
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2020 – today
- 2026
[j4]Yue Ju, Jiabao He, Bo Wahlberg, Håkan Hjalmarsson:
Biased Estimators: Asymptotic Domination Over Maximum Likelihood and Empirical-Bayes-Based Ridge Estimators. IEEE Control. Syst. Lett. 10: 1795-1800 (2026)- 2025
- [j3]Yue Ju, Bo Wahlberg, Håkan Hjalmarsson:
Bayes and Biased Estimators Without Hyper-Parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator. IEEE Control. Syst. Lett. 9: 294-299 (2025) - [c4]Ying Wang, Kévin Colin, Yue Ju, Mirko Pasquini, Håkan Hjalmarsson:
Revisiting Dynamic Programming for Exploration: Insights from a Simple Dual Control Problem. CDC 2025: 1018-1023 - [i7]Yue Ju, Bo Wahlberg, Håkan Hjalmarsson:
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator. CoRR abs/2503.11854 (2025) - [i6]Yue Ju, Bo Wahlberg, Håkan Hjalmarsson:
Excess Mean Squared Error of Empirical Bayes Estimators. CoRR abs/2503.11863 (2025) - [i5]Jiabao He, Yueyue Xu, Yue Ju, Cristian R. Rojas, Håkan Hjalmarsson:
Range Space or Null Space: Least-Squares Methods for the Realization Problem. CoRR abs/2505.19639 (2025) - 2023
- [j2]Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen:
An efficient implementation for spatial-temporal Gaussian process regression and its applications. Autom. 147: 110679 (2023) - [j1]Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen:
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator. IEEE Trans. Autom. Control. 68(12): 7224-7239 (2023) - [c3]Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen:
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC 2023: 6223-6228 - 2022
- [i4]Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen:
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. CoRR abs/2209.12231 (2022) - [i3]Junpeng Zhang, Yue Ju, Bi-Qiang Mu, Renxin Zhong, Tianshi Chen:
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications. CoRR abs/2209.12565 (2022) - 2021
- [c2]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification*. CDC 2021: 1598-1602 - [i2]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. CoRR abs/2112.10319 (2021) - 2020
- [c1]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods. CDC 2020: 300-305 - [i1]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. CoRR abs/2003.13435 (2020)
Coauthor Index
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