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ORCIDTianshi Chen 0001
Person information
- affiliation: Chinese University of Hong Kong, School of Data Science, Hong Kong
- affiliation (2015 - 2020): Chinese University of Hong Kong,School of Science and Engineering, Hong Kong
- affiliation (2009 - 2015): Linköping University, Department of Electrical Engineering, Sweden
- affiliation (PhD 2008): Chinese University of Hong Kong, Hong Kong
- affiliation (former): Harbin Institute of Technology, China
Other persons with the same name
- Tianshi Chen
- Tianshi Chen 0002
![[0009-0008-8379-2563]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0008-8379-2563")
— Cambricon Technologies, Beijing, China (and 2 more) - Tianshi Chen 0003 — Zhengzhou University, School of Information and Engineering, China
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2020 – today
- 2024
[j41]Xiaozhu Fang, Tianshi Chen:
On kernel design for regularized non-causal system identification. Autom. 159: 111335 (2024)- [j40]Biqiang Mu, Lennart Ljung, Tianshi Chen:
When cannot regularization improve the least squares estimate in the kernel-based regularized system identification. Autom. 160: 111442 (2024) - [i21]Xiaozhu Fang, Yu Xu, Tianshi Chen:
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation. CoRR abs/2405.12629 (2024) - 2023
- [j39]Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu:
On embeddings and inverse embeddings of input design for regularized system identification. Autom. 147: 110673 (2023) - [j38]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) - [j37]Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen:
Kernel-based regularized iterative learning control of repetitive linear time-varying systems. Autom. 154: 111047 (2023) - [j36]He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Biqiang Mu, Wei Xing Zheng:
Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs. IEEE Trans. Autom. Control. 68(7): 4459-4466 (2023) - [j35]Biqiang Mu, He Kong, Tianshi Chen, Bo Jiang, Lei Wang, Junfeng Wu:
Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm. IEEE Trans. Autom. Control. 68(9): 5714-5720 (2023) - [j34]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) - [j33]Xian Yu, Zhongsheng Hou, Tianshi Chen:
Data-Driven Distributed Adaptive Consensus Tracking of Nonlinear Multiagent Systems: A Controller-Based Dynamic Linearization Method. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6953-6965 (2023) - [c30]Zhuohua Shen, Yu Xu, Martin S. Andersen, Tianshi Chen:
An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals. CDC 2023: 1480-1485 - [c29]Lujing Chen, Tianshi Chen, Utkarsh Detha, Martin S. Andersen:
Towards Scalable Kernel-Based Regularized System Identification. CDC 2023: 1498-1504 - [c28]Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen:
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC 2023: 6223-6228 - [c27]Meng Zhang, Tianshi Chen, Biqiang Mu:
A Family of Hyper-parameter Estimators for Regularized Linear System Identification. CDC 2023: 6236-6241 - [i20]Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen:
Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems. CoRR abs/2303.03822 (2023) - [i19]Xiaozhu Fang, Tianshi Chen:
On Kernel Design for Regularized Non-Causal System Identification. CoRR abs/2307.13999 (2023) - 2022
- [j32]Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai:
Persistence of excitation for identifying switched linear systems. Autom. 137: 110142 (2022) - [j31]He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Wei Xing Zheng:
The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares. Syst. Control. Lett. 162: 105172 (2022) - [i18]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) - [i17]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) - [i16]Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu:
On Embeddings and Inverse Embeddings of Input Design for Regularized System Identification. CoRR abs/2209.13152 (2022) - 2021
- [j30]Yunping Huang, C. Chen, Z. C. Su, Tianshi Chen, Agachai Sumalee, Tianlu Pan, Renxin Zhong:
Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression. Appl. Soft Comput. 111: 107663 (2021) - [j29]Tianshi Chen, Martin S. Andersen:
On semiseparable kernels and efficient implementation for regularized system identification and function estimation. Autom. 132: 109682 (2021) - [j28]He Kong, Mao Shan, Salah Sukkarieh, Tianshi Chen, Wei Xing Zheng:
Kalman filtering under unknown inputs and norm constraints. Autom. 133: 109871 (2021) - [c26]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 - [i15]Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai:
Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms. CoRR abs/2112.02802 (2021) - [i14]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
- [j27]Martin Lindfors, Tianshi Chen:
Regularized LTI system identification in the presence of outliers: A variational EM approach. Autom. 121: 109152 (2020) - [j26]Lennart Ljung, Tianshi Chen, Bi-Qiang Mu:
A shift in paradigm for system identification. Int. J. Control 93(2): 173-180 (2020) - [j25]Martin S. Andersen, Tianshi Chen:
Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel. SIAM J. Matrix Anal. Appl. 41(2): 389-412 (2020) - [j24]Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir:
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. IEEE Trans. Signal Process. 68: 5260-5275 (2020) - [c25]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 - [i13]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) - [i12]Yiping Jiang, Tianshi Chen:
Accelerated Sparse Bayesian Learning via Screening Test and Its Applications. CoRR abs/2007.04006 (2020)
2010 – 2019
- 2019
- [j23]Teng Jiang, Dabo Xu, Tianshi Chen, Andong Sheng:
Parameter estimation of discrete-time sinusoidal signals: A nonlinear control approach. Autom. 109 (2019) - [j22]Ang Xie, Feng Yin, Yue Xu, Bo Ai, Tianshi Chen, Shuguang Cui:
Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM. IEEE Signal Process. Lett. 26(8): 1197-1201 (2019) - [j21]Yuxin Zhao, Carsten Fritsche, Gustaf Hendeby, Feng Yin, Tianshi Chen, Fredrik Gunnarsson:
Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models. IEEE Trans. Signal Process. 67(23): 5936-5951 (2019) - [c24]Ye Kuang, Tianshi Chen, Feng Yin, Renxin Zhong:
Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling. WCSP 2019: 1-7 - [i11]Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo:
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. CoRR abs/1904.09559 (2019) - 2018
- [j20]Tianshi Chen:
On kernel design for regularized LTI system identification. Autom. 90: 109-122 (2018) - [j19]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods. Autom. 94: 381-395 (2018) - [j18]Tianshi Chen, Gianluigi Pillonetto:
On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses. Autom. 95: 529-533 (2018) - [j17]Bi-Qiang Mu, Tianshi Chen:
On input design for regularized LTI system identification: Power-constrained input. Autom. 97: 327-338 (2018) - [j16]Tianshi Chen:
Continuous-Time DC Kernel - A Stable Generalized First-Order Spline Kernel. IEEE Trans. Autom. Control. 63(12): 4442-4447 (2018) - [c23]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification. CDC 2018: 644-649 - [c22]Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis:
Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. FUSION 2018: 47-54 - 2017
- [j15]Francesca Paola Carli, Tianshi Chen, Lennart Ljung:
Maximum Entropy Kernels for System Identification. IEEE Trans. Autom. Control. 62(3): 1471-1477 (2017) - [c21]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
On the input design for kernel-based regularized LTI system identification: Power-constrained inputs. CDC 2017: 5262-5267 - [i10]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
On Asymptotic Properties of Hyperparameter Estimators for Kernel-based Regularization Methods. CoRR abs/1707.00407 (2017) - [i9]Bi-Qiang Mu, Tianshi Chen:
On Input Design for Regularized LTI System Identification: Power-constrained Input. CoRR abs/1708.05539 (2017) - [i8]Tianshi Chen:
Continuous-time DC kernel - a stable generalized first-order spline kernel. CoRR abs/1710.03932 (2017) - 2016
- [j14]Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto:
Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. 66: 34-38 (2016) - [j13]Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung:
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. 69: 137-149 (2016) - [j12]John Lataire, Tianshi Chen:
Transfer function and transient estimation by Gaussian process regression in the frequency domain. Autom. 72: 217-229 (2016) - [j11]Deheng Qian, Tianshi Chen, Hong Qiao:
Background of shape contexts for point matching. Pattern Recognit. Lett. 84: 114-119 (2016) - [c20]Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung:
Continuous-time DC kernel - A stable generalized first order spline kernel. CDC 2016: 4647-4652 - [i7]Tianshi Chen, Lennart Ljung:
On kernel design for regularized LTI system identification. CoRR abs/1612.03542 (2016) - 2015
- [c19]Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung:
Spectral analysis of the DC kernel for regularized system identification. CDC 2015: 4017-4022 - [c18]Tianshi Chen, Lennart Ljung:
Regularized system identification using orthonormal basis functions. ECC 2015: 1291-1296 - [c17]Tohid Ardeshiri, Tianshi Chen:
Maximum entropy property of discrete-time stable spline kernel. ICASSP 2015: 3676-3680 - [i6]Tianshi Chen, Lennart Ljung:
Regularized system identification using orthonormal basis functions. CoRR abs/1504.02872 (2015) - [i5]Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto:
Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR abs/1504.03253 (2015) - [i4]Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung:
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR abs/1507.00564 (2015) - 2014
- [j10]Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung:
Kernel methods in system identification, machine learning and function estimation: A survey. Autom. 50(3): 657-682 (2014) - [j9]Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry:
Scalable anomaly detection in large homogeneous populations. Autom. 50(5): 1459-1465 (2014) - [j8]Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto:
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. 59(11): 2933-2945 (2014) - [c16]Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung:
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC 2014: 265-270 - [c15]Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto:
On the design of multiple kernels for nonparametric linear system identification. CDC 2014: 3346-3351 - [i3]Tohid Ardeshiri, Tianshi Chen:
Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel. CoRR abs/1411.0283 (2014) - [i2]Francesca Paola Carli, Tianshi Chen, Lennart Ljung:
Maximum Entropy Kernels for System Identification. CoRR abs/1411.5620 (2014) - 2013
- [j7]Tianshi Chen, Lennart Ljung:
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification. Autom. 49(7): 2213-2220 (2013) - [c14]Lennart Ljung, Tianshi Chen:
What Can Regularization Offer for Estimation of Dynamical Systems? ALCOSP 2013: 1-8 - [c13]Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung:
Kernel-Based Model Order Selection for Linear System Identification. ALCOSP 2013: 257-262 - [c12]Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung:
Rank-1 kernels for regularized system identification. CDC 2013: 5162-5167 - [c11]Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung:
Kernel-based model order selection for identification and prediction of linear dynamic systems. CDC 2013: 5174-5179 - [c10]Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto:
Regularization strategies for nonparametric system identification. CDC 2013: 6013-6018 - [c9]Lennart Ljung, Tianshi Chen:
Convexity issues in system identification. ICCA 2013: 1-9 - [i1]Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry:
Scalable Anomaly Detection in Large Homogenous Populations. CoRR abs/1309.5803 (2013) - 2012
- [j6]Tianshi Chen, Henrik Ohlsson, Lennart Ljung:
On the estimation of transfer functions, regularizations and Gaussian processes - Revisited. Autom. 48(8): 1525-1535 (2012) - [c8]Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto:
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC 2012: 1500-1505 - [c7]Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto:
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels. CDC 2012: 5260-5265 - 2011
- [j5]Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung:
Decentralized Particle Filter With Arbitrary State Decomposition. IEEE Trans. Signal Process. 59(2): 465-478 (2011) - [c6]Tianshi Chen, Henrik Ohlsson, Graham C. Goodwin, Lennart Ljung:
Kernel selection in linear system identification part II: A classical perspective. CDC/ECC 2011: 4326-4331 - 2010
- [j4]Tianshi Chen, Jie Huang:
A small gain approach to global stabilization of nonlinear feedforward systems with input unmodeled dynamics. Autom. 46(6): 1028-1034 (2010) - [j3]Tianshi Chen:
Comments on "State estimation for linear systems with state equality constraints" [Automatica 43 (2007) 1363-1368]. Autom. 46(11): 1929-1932 (2010) - [c5]Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung:
Decentralization of particle filters using arbitrary state decomposition. CDC 2010: 7383-7388
2000 – 2009
- 2009
- [j2]Tianshi Chen, Jie Huang:
Global Robust Output Regulation by State Feedback for Strict Feedforward Systems. IEEE Trans. Autom. Control. 54(9): 2157-2163 (2009) - 2008
- [j1]Tianshi Chen, Jie Huang:
Disturbance Attenuation of Feedforward Systems With Dynamic Uncertainty. IEEE Trans. Autom. Control. 53(7): 1711-1717 (2008) - [c4]Tianshi Chen, Jie Huang:
Global robust stabilization of nonlinear strict feedforward systems with input unmodeled dynamics. ACC 2008: 3422-3427 - 2007
- [c3]Tianshi Chen, Jie Huang:
Global robust stabilization of a class of uncertain feedforward systems. CDC 2007: 5898-5903 - 2005
- [c2]Tianshi Chen, Zhiyuan Liu, Hong Chen, Run Pei:
Inverse optimal constrained input-to-state stabilization of nonlinear systems. ACC 2005: 1425-1430 - 2004
- [c1]Tianshi Chen, Zhiyuan Liu, Run Pei, Hong Chen:
An approach to integral input-to-state stabilization via satisficing strategy. ICARCV 2004: 1717-1722
Coauthor Index
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