Ran WEI (卫然)
Email: ran.wei at xjtlu dot edu dot cn
About me
I was born in Liuzhou, an industrial city in South China. I graduated from Liuzhou High School Guangxi in June, 2008. After that, I attended Nanjing University, studying mathematics. I received my Bachelor's degree in June, 2012. I soon enrolled in the Ph.D. program in mathematics at National University of Singapore. I studied probability theory, especially mathematical models from statistical physics, under the supervision of Rongfeng Sun. I received my Ph.D. in July, 2017.
Then I joined Tencent Technology in Shenzhen, working for two years as a machine learning researcher. I finally decided to come back to academia. From November 2020 to October 2021, I was a post-doc at LAMA, Université Paris-Est Créteil. My supervisor was Amine Asselah.
From January 2021 to June 2023, I worked as an assistant researcher with special appointment (similar to research assistant professor in USA) at the Department of Mathematics, Nanjing University.
From August 2023, I joined the Department of Financial and Actuarial Mathematics, Xi'an Jiaotong-Liverpool University as an assistant professor.
My research interests lie in probability theory, mathematical physics and machine learning.
Publications & Preprints
Articles are ordered anti-chronologically according to the time submitted to the arXiv.
[5] R. Wei, J. Yu, Weak coupling limits for directed polymers on tube, Journal of Statistical Physics 186 (2022), 1-22. [journal][arxiv]
[4] Q. Berger, N. Torri, R. Wei, Non-directed polymers in heavy-tail random environment in dimension d≥2, Electronic Journal of Probability 27 (2022), 1-67. [journal][arxiv]
[3] Q. Berger, C.-H. Huang, N. Torri, R. Wei, One-dimensional polymers in random environments: stretching vs. folding, Electronic Journal of Probability 27 (2022), 1-45. [journal][arxiv]
[2] R, Wei, Free energy of the Cauchy directed polymer model at high temperature, Journal of Statistical Physics 172 (2018), 1057-1085. [journal][arxiv]
[1] R, Wei, On the long-range directed polymer model, Journal of Statistical Physics 165 (2016), 320-350. [journal][arxiv]