Biqiang Mu

According to our database, Biqiang Mu authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Consistent and Asymptotically Efficient Localization From Range- Difference Measurements.

Guangyang Zeng, Biqiang Mu, Ling Shi, Jiming Chen, Junfeng Wu

IEEE Trans. Inf. Theory, April, 2024

When cannot regularization improve the least squares estimate in the kernel-based regularized system identification.

Biqiang Mu, Lennart Ljung, Tianshi Chen

Autom., February, 2024

Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation.

Guangyang Zeng, Qingcheng Zeng, Xinghan Li, Biqiang Mu, Jiming Chen, Ling Shi, Junfeng Wu

CoRR, 2024

2023

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.

Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen

IEEE Trans. Autom. Control., December, 2023

Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm.

Biqiang Mu, He Kong, Tianshi Chen, Bo Jiang, Lei Wang, Junfeng Wu

IEEE Trans. Autom. Control., September, 2023

Kernel-based regularized iterative learning control of repetitive linear time-varying systems.

Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen

Autom., August, 2023

Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs.

He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Biqiang Mu, Wei Xing Zheng

IEEE Trans. Autom. Control., July, 2023

Measurement-Induced Boolean Dynamics for Open Quantum Networks.

Hongsheng Qi, Biqiang Mu, Ian R. Petersen, Guodong Shi

IEEE Trans. Control. Netw. Syst., March, 2023

An efficient implementation for spatial-temporal Gaussian process regression and its applications.

Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen

Autom., 2023

On embeddings and inverse embeddings of input design for regularized system identification.

Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu

Autom., 2023

CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination.

Guangyang Zeng, Shiyu Chen, Biqiang Mu, Guodong Shi, Junfeng Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient Planar Pose Estimation via UWB Measurements.

Haodong Jiang, Wentao Wang, Yuan Shen, Xinghan Li, Xiaoqiang Ren, Biqiang Mu, Junfeng Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

An Efficient Implementation for Bayesian Manifold Regularization Method.

Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Family of Hyper-parameter Estimators for Regularized Linear System Identification.

Meng Zhang, Tianshi Chen, Biqiang Mu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Tilted Least-Squares Parameter Estimation of Linear Regression Models in the Presence of Outliers.

Biqiang Mu, Er-Wei Bai, Wei Xing Zheng

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Global and Asymptotically Efficient Localization From Range Measurements.

Guangyang Zeng, Biqiang Mu, Jiming Chen, Zhiguo Shi, Junfeng Wu

IEEE Trans. Signal Process., 2022

Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis.

Guangyang Zeng, Biqiang Mu, Jieqiang Wei, Wing Shing Wong, Junfeng Wu

IEEE/ACM Trans. Netw., 2022

2020

Measurement-induced Boolean dynamics and controllability for closed quantum networks.

Hongsheng Qi, Biqiang Mu, Ian R. Petersen, Guodong Shi

Autom., 2020

Quantum tomography by regularized linear regressions.

Biqiang Mu, Hongsheng Qi, Ian R. Petersen, Guodong Shi

Autom., 2020

Hamiltonian Identification of Quantum Networks from Sequential Boolean Measurements.

Biqiang Mu, Hongsheng Qi, Ian R. Petersen, Guodong Shi

Proceedings of the 59th IEEE Conference on Decision and Control, 2020