Luo Xue - Profile Photo
Ph.D.

LUO, Xue

Professor of Mathematics

I am a professor in the School of Mathematical Sciences at Beihang University. My research focuses on nonlinear filtering, estimation theory and forecasting, etc.

My current work involves developing nonlinear filtering theory and algorithms, as well as their applications in engineering, economics. I have published over 30 papers in peer-reviewed journals and conference proceedings.

Education

Academic qualifications and educational background

2010 - 2013

Ph.D. in Applied Mathematics

University of Illinois at Chicago (UIC), USA

Thesis: An novel algorithm to solve the nonlinear filtering problems in real-time

Advisor: Stephen S.-T. Yau

2004 - 2010

Ph.D. in Applied Mathematics

East China Normal University, China

Thesis: Some Partial Differential Equations Arising from Physics and Biology

Advisor: Feng Zhou

2000 - 2004

B.Sc. in Mathematics

East China Normal University, China

Major: Mathematics and Applied Mathematics

Graduated with Bachelor's Degree

Current Research Interests

Nonlinear filtering

Development of efficient nonlinear filtering algorithms and their tailored applications in multiple interdisciplinary fields, including engineering, economics, and data-driven forecasting.

Forecasting

Bayesian combination forecasting, with emphasis on applications in economic time series.

Publications

Over 30 peer-reviewed papers in international journals and conferences

2025

Brownian and Poisson Bridges: Application to Nonlinear Filtering Problems an Error Estimates

W. Dong, X. Luo and S. S.-T. Yau

Asian Journal of Mathematics (Vol. 29, No. 3, pp. 253-282)

2024

Multivariate Feedback Particle Filter Rederived from the Splitting-Up Scheme

H. Miao and X. Luo*

East Asian Journal on Applied Mathematics (Vol. 14, No. 2, pp. 314-341)

2023

Convergence analysis of splitting-up algorithm of the Zakai's equation with correlated noises

X. Luo, T. Pan and W. Dong

Journal Of Systems Science & Complexity (Vol. 36, pp. 922-946)

2022

Recent progresses on two suboptimal methods for nonlinear filtering problems

X. Luo and H. Miao

ICCM Notices (Vol. 10, No. 2, pp. 44-52)

2022

General convergence result for continuous-discrete feedback particle filter

X.-Q. Chen, X. Luo, J. Shi and S. S.-T. Yau

International Journal of Control (Vol. 95, No. 11, pp. 2972-2986)

2021

Solving Nonlinear Filtering Problems in Real-time by Legendre Galerkin Spectral Method

W. Dong, X. Luo and S. S.-T. Yau

IEEE Transactions on Automatic Control (Vol. 66, No. 4, pp. 1559-1572)

2020

On Classification of Toric Surface Codes of Dimension Seven

N. Hussian, X. Luo, S. S.-T. Yau, M. Zhang and H. Zuo

Communications in Analysis and Geometry (Vol. 28, No. 2, pp. 263-319)

2020

Proper orthogonal decomposition method to nonlinear filtering problems in medium-high dimension

Z. Wang, X. Luo, S. S.-T. Yau and Z. Zhang

IEEE Transactions on Automatic Control (Vol. 65, No. 4, pp. 1613-1624)

2019

On the Newton polyhedrons with one inner lattice point

X. Luo and F. Wang

Methods and Applications of Analysis (Vol. 25, No. 4, pp. 1-12)

2018

Suboptimal linear Estimation for Continuous-discrete Bilinear Systems

X. Luo, X.-Q. Chen and S. S.-T. Yau

Systems & Control Letters (Vol. 119, pp. 92-100)

2018
2017

Direct method for time-varying nonlinear filtering problems

X.-Q. Chen, X. Luo and S. S.-T. Yau

IEEE Transactions on Aerospace and Electronic Systems (Vol. 53, No. 2, pp. 630-639)

2017

Addendum: 2D homogeneous solutions to the Euler equation

X. Luo and R. Shvydkoy

Communications in Partial Differential Equations (Vol. 42, No. 3, pp. 491-493)

2016

Novel Suboptimal Filter via Higher Order Central Moments

X. Luo, Y. Jiao, W.-L. Chiou and S. S.-T. Yau

IEEE Transactions on Aerospace and Electronic Systems (Vol. 52, No. 4, pp. 2030-2038)

2015

On the Quenching Behavior of the MEMS with Fringing Field

X. Luo and S. S.-T. Yau

The Quarterly of Applied Mathematics (Vol. 73, pp. 629-659)

2015

A Novel Suboptimal Method for Solving Polynomial Filtering Problems

X. Luo, Y. Jiao, W.-L. Chiou and S. S.-T. Yau

Automatica (Vol. 62, pp. 26-31)

2015

2D Homogeneous Solutions to the Euler Equation

X. Luo and R. Shvydkoy

Communications in Partial Differential Equations (Vol. 40, pp. 1666-1687)

2015

Time-dependent Hermite-Galerkin spectral method and its applications

X. Luo, S.-T. Yau and S. S.-T. Yau

Applied Mathematics and Computation (Vol. 264, pp. 378-391)

2015

On Classification of Toric Surface Codes of Low Dimension

X. Luo, S. S.-T. Yau, M. Zhang and H. Zuo

Finite Fields and Their Applications (Vol. 33, pp. 90-102)

2014

On Recent Advance of Nonlinear Filtering Theory: Emphases on Global Approaches

X. Luo

Pure and Applied Mathematics Quarterly (Vol. 10, No. 4, pp. 685-721)

2014

On a Number-theoretic Conjecture on Positive Integral Points in a 5-dimensional Tetrahedron and a Sharp Estimate of the Dickman-de Bruijn Function

K.-P. Lin, X. Luo, S. S.-T. Yau and H. Zuo

Journal Of The European Mathematical Society (Vol. 16, pp. 1937-1966)

2013

Hermite Spectral Method with Hyperbolic Cross Approximations to High-dimensional Parabolic PDEs

X. Luo and S. S.-T. Yau

SIAM Journal on Numerical Analysis (Vol. 51, No. 6 , pp. 3186-3212)

2013

Hermite Spectral Method to 1D Forward Kolmogorov Equation and its Application to Nonlinear Filtering Problems

X. Luo and S. S.-T. Yau

IEEE Transactions on Automatic Control (Vol. 58, No. 10, pp. 2495-2507)

2013

Complete Real Time Solution of the General Nonlinear Filtering Problem without Memory

X. Luo and S. S.-T. Yau

IEEE Transactions on Automatic Control (Vol. 58, No. 10, pp. 2563-2578)

2011

Regularity of the Extremal Solution for Some Elliptic Problems with Singular Nonlinearity and Advection

X. Luo, D. Ye and F. Zhou

Journal of Differential Equations (Vol. 251, No. 8, pp. 2082-2099)

2010

Uniqueness of Weak Extremal Solution to Biharmonic Equation with Logarithmically Convex Nonlinearities

X. Luo

Journal of Partial Differential Equations (Vol. 23, No. 4, pp. 315-329)

2010

Parameters of Two Special Toric Surface Codes

X. Luo, P. Zhang and H. Zuo

Chinese Annals of Mathematics, Series A (Vol. 31, No. 5, 2010, pp. 517-524)

2009

Asymptotic Behavior of Oscillating Radial Solutions to Certain Nonlinear Equations, Part II

X. Luo, C. Gui and F. Zhou

Methods and Applications of Analysis (Vol. 16, No. 4, pp. 459-468)

2025

Bayesian Forecast Combination with Predictive Priors via Particle Filtering

X. Luo, Y. Kang and X. Luo*

submitted to Journal of Econometrics

2024

The Gaussian Mixture Optimal Transport Ensemble Kalman Filter and its application to predict the capacity fade of lithium-ion batteries

Y. Li and X. Luo*

2024 10th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 171-176)

2019

Feedback Particle Filter with Correlated Noises

X. Luo and H. Miao

Proceeding of the 58th IEEE Conference on Decision and Control (pp. 1637-1643)

2018

Generalized Jacobi spectral method in solving nonlinear filtering problems

X. Luo and F. Wang

Proceedings of the 57th IEEE Conference on Decision and Control (pp. 7206-7212)

2012

A Novel Algorithm to Solve the Robust DMZ Equation in Real Time

X. Luo and S. S.-T. Yau

Proceedings of the 51st IEEE Conference on Decision and Control (pp. 606-611)

Research Projects

Funded research projects and collaborations

2023.1-2026.12

The study on the feedback particle filter for the nonlinear filtering problems with jump observations

National Natural Science Foundation of China (NSFC) General Program, No. 12271019

In this project, we develop the feedback particle filter (FPF) for the nonlinear filtering (NLF) with jump observation, and analyze its convergence and error. As well, the challenges like numerical solution of control gain in the high-dimensional NLF problems are addressed.

Nonlinear filtering Jump observations Kushner-Stratonovich-Poisson equation
2019.1-2022.12

The study on the splitting-up methods of nonlinear filtering problems with correlated noises

National Natural Science Foundation of China (NSFC) General Program, No. 11871003

In this project, we study the splitting-up methods of two simplified nonlinear filtering models based on Zakai equation and feedback particle filter (FPF). The convergence analysis is also investigated.

Nonlinear filtering Zakai equation splitting-up method correlated noises convergence analysis
2015.1-2017.12

The study on the real-time algorithm of nonlinear filtering problems

National Natural Science Foundation of China (NSFC) Young Scientists Fund Project, No. 11501023

In this project, we study the real-time on- and off-line algorithm for solving nonlinear filtering problems with moderate high-dimensional states. In the off-line part, the suitable basis functions are chosen in the Galerkin spectral method to solve the Kolmogorov forward equation. In the on-line part, we use the Gauss quadrature rule for numerical integrations and the CPU parallel computing is helpful in dealing with high-dimensional states problems.

Nonlinear filtering real-time algorithm spectral method
2015.1-2016.6

Solving the scalar nonlinear conservation laws by Hermite spectral viscosity method and the design of filter techniques

the Beijing Natural Science Foundation, Youth Project, No. 1154011

In this project, we study a viscosity vanishing spectral method based on generalized Hermite functions, which can numerically solve nonlinear conservation law equations, and theoretically prove that this method converges to the unique entropy solution of the nonlinear conservation law. In order to eliminate the Gibbs phenomenon, we post-process the numerical solutions obtained earlier, that is, design a filtering method that can restore the high-precision of the spectral method and theoretically prove the effectiveness of the filtering.

viscosity vanishing spectral method nonlinear conservation law Gibbs phenomenon

Academic Services

Professional contributions to academic community

Reviewing

Journal Reviews

  • Automatica J. IFAC
  • IEEE Transaction on Automatic Control
  • SIAM Journal on Control and Optimization
  • IEEE Transaction on Signal Processing
  • Applied Numerical Mathematics
  • Systems & Control Letters
  • International Journal of Control
  • Conference Reviews

    • IEEE Conference on Decision and Control (CDC)
    • American Control Conference (ACC)
    • European Control Conference (ECC)

    Program Reviews

    • China Scholarship Council (CSC) National Studying Abroad Program 2022- Present

Professional Affiliations/Roles

Members

  • Council Member, Bayesian Statistics Branch, Chinese Association of Applied Statistics 2025 - Present
  • Council Member, Young Statisticians Association, National Association for Teaching and Research in Industrial Statistics 2024- 2028
  • Council Member, National Association for Teaching and Research in Industrial Statistics 2023 - 2026
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE) 2015- Present

International Activities

Organizer

  • Mini-Symposium on "Recent Studies in Nonlinear Filtering" at The 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019) Co-organizer: Stephen S.-T. Yau URL: http://www.iciam2019.cn/
  • Mini-Symposium on "New methods and trend in the field of nonlinear filtering" at The 8th International Congress on Industrial and Applied Mathematics (ICIAM 2015) Co-organizer: Stephen S.-T. Yau URL: http://www.iciam2015.cn/

Teaching

Courses taught at Beihang University

Probability Theory

Undergraduate Level (2rd Year)

Fall Semester

Probability theory is a foundational branch of mathematics that studies the likelihood of random events occurring, using concepts like sample spaces, event sets, and probability axioms (e.g., non-negativity, additivity) to quantify uncertainty. It introduces core tools such as probability rules (addition, multiplication), conditional probability, and basic distributions (uniform, binomial, normal), forming the basis for understanding randomness in fields from statistics to everyday decision-making.

3.5 Credits

Mathematical English

Undergraduate Level

Fall Semester

Mathematical English focuses on teaching English terminology, academic expressions, and literature reading skills in the field of mathematics, helping students communicate mathematical ideas and read international mathematical papers effectively.

1 Credit

Bayesian statistics

Undergraduate Level (3rd Year)

Spring Semester

Bayesian Statistics centers on Bayes' theorem, teaching students to quantify uncertainty by combining prior knowledge with observed data--shifting from the frequentist view of "fixed parameters" to treating parameters as random variables with probabilistic beliefs.

3 Credits

Contact Information

Get in Touch

Office Location

School of Mathematical Sciences
Beihang University (Shahe campus)
102206, China

Email

xluo@buaa.edu.cn

Send Me a Message