Calculated based on number of publications stored in Pure and citations from Scopus
20112025

Research activity per year

Personal profile

Personal profile

Yang Ting Title: Associate Professor E-mail: yangt@bit.edu.cn
He is a teacher at the School of Mathematics and Statistics, Beijing Institute of Technology, mainly engaged in the research of probability theory and stochastic processes.
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Research Interests

He is mainly engaged in the research of probability theory and stochastic process, including the branching particle system and branching process, the limit theory of measured value Markov process and the potential theory of Markov process and its application.

Education

2007.09 -- 2012.06 School of Mathematical Sciences, Peking University Doctor
2003.09 -- 2007.06 School of Mathematical Sciences, Nankai University, B.S.

Professional Experience

2019 -- Associate Professor, School of Mathematics and Statistics, Beijing Institute of Technology
2017 Postdoctoral Fellow, University of Bath
2014-2019 Lecturer, School of Mathematics and Statistics, Beijing Institute of Technology
2012-2014 Postdoctoral Fellow, Institute of Applied Mathematics, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences

Research Achievement

[11] Y.-X. Ren, T. Yang*, R. Zhang: Extremal process of super-Brownian motions: A probabilistic approach via skeletons. Preprint 2022.
[10] Y.-X. Ren, R. Song, T. Yang*: Spine decomposition and LlogL criterial for superprocesses with non-local branching mechanisms .ALEA, Lat. Am. J. Probab. Math. Stat. 19(1)(2022): 163–208
[9] A. Kyprianou, V. Rivero, B. Sengul, T. Yang*: Entrance laws at the origin of self-similar Markov processes in high dimensions. Transactions of the American Mathematical Society. 373(9) (2020): 6227-6299.
[8] S. Palau, T. Yang*: Law of large numbers for supercritical superprocesses with non-local branching. Stochastic Processes and their Applications.130(2) (2020), 1074-1102.
[7] Z.-Q. Chen, Y.-X. Ren, T.Yang*: Skeleton decomposition and law of large numbers for supercritical superprocesses. Acta Applicandae Mathematicae, 159(1) (2019): 225-285.
[6] Z.-Q. Chen, T. Yang*: Dirichlet heat kernel estimates for fractional Laplacian under non-local perturbation. arXiv:1503.05302 [math. PR]
[5] Z.-Q. Chen, Y.-X. Ren, T. Yang*:Law of large numbers for branching symmetric Hunt processes with measure-valued branching rates. Journal of Theoretical Probability, 30(3) (2017): 898-931
[4] Z.-Q. Chen, Y.-X. Ren, T. Yang*:Boundary Harnack principle and gradient estimates for harmonic functions with respect to fractional Laplacian perturbed by non-local operators. Potential Anal. 45(3)(2016), 509–537.
[3] Y.-X. Ren, T. Yang*, G.-H. Zhao: Conditional limit theorems for critical contituous-state branching processes. Sci. China Math. 57,12, (2014): 2577-2588.
[2] Y.-X. Ren, T. Yang*: Multitype branching Brownian motion and traveling waves. Adv. Appl. Probab. 46, 1, (2014), 217-240.
[1] Y.-X. Ren, T. Yang*: Limit theorem for derivative martingale at criticality w.r.t branching Brownian motion. Probab. Statistics Letters, 81(2) (2011), 195-200.

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