I am a postdoc at Faculty of Mathematics and Computer Science, University of Münster, Germany. I am mentored by Prof. Dr. Hendrik Weber, within the research group of Stochastic Analysis.
Email address: ruojun.huang.331 "at" gmail "dot" com.
I am interested in Probability theory and Stochastic processes, and their applications; especially, random walk in disordered media, scaling limits of interacting particle systems, stochastic analysis, models of synchronization.
Articles
R. Huang, K. Matetski, H. Weber. Scaling limit of a weakly asymmetric simple exclusion process in the framework of regularity structures. Preprint (2025).
C. De Vita, P. Groisman, R. Huang. Phase synchronization in random geometric graphs on the 2D sphere. Preprint (2025).
F. Cirelli, P. Groisman, R. Huang, H. Vivas. Scaling limit of Kuramoto model on random geometric graphs. SIAM J. Appl. Math. 85 (2025), no. 4, 1719-1748.
F. Flandoli, R. Huang. A non-inertial model for particle aggregation under turbulence. J. Stat. Phys. 192 (2025), no. 4, Article 45, 1-51.
F. Flandoli, R. Huang, A. Papini. Smoluchowski coagulation equation with velocity dependence. SIAM J. Math. Anal. 56 (2024), no. 4, 5634-5677.
P. Groisman, R. Huang, H. Vivas. The Kuramoto model on dynamic random graphs. Nonlinearity 36 (2023), no. 11, 6177-6198.
R. Huang. Scaling limit for a second-order particle system with local annihilation. Electron. J. Probab. 28 (2023), no. 81, 1-31.
F. Flandoli, R. Huang. Noise based on vortex structures in 2D and 3D. J. Math. Phys. 64 (2023), Article 053101, 1-23.
A. Papini, F. Flandoli, R. Huang. Turbulence enhancement of coagulation: the role of eddy diffusion in velocity. Physica D: Nonlinear Phenomena 448 (2023), Article 133726, 1-16.
F. Flandoli, R. Huang. Coagulation dynamics under environmental noise: scaling limit to SPDE. Alea, Lat. Am. J. Probab. Math. Stat. 19 (2022), 1241-1292.
F. Flandoli, R. Huang. The KPP equation as a scaling limit of locally interacting Brownian particles. J. Differ. Equations 303 (2021), 608-644.
A. Dembo, P. Groisman, R. Huang, V. Sidoravicius. Averaging principle and shape theorem for a growth model with memory. Comm. Pure Appl. Math. 74 (2021), 1453-1492.
A. Dembo, R. Huang, T. Zheng. Random walks among time increasing conductances: heat kernel estimates. Probab. Theory Related Fields 175 (2019), 397-445.
R. Huang. On random walk on growing graphs. Ann. Inst. H. Poincaré Probab. Stat. 55 (2019), 1149-1162.
R. Huang. Growing in time IDLA cluster is recurrent. Electron. Commun. Probab. 24 (2019), no. 31, 1-11.
R. Huang, D. Kious, V. Sidoravicius, P. Tarrès. Explicit formula for the density of local times of Markov jump processes. Electron. Commun. Probab. 23 (2018), no. 90, 1-7.
A. Dembo, R. Huang, B. Morris, Y. Peres. Transience in growing subgraphs via evolving sets. Ann. Inst. H. Poincaré Probab. Stat. 53 (2017), 1164-1180.
R. Huang, T. Kumagai. Stability and instability of Gaussian heat kernel estimates for random walks among time-dependent conductances. Electron. Commun. Probab. 21 (2016), no. 5, 1-11.
A. Dembo, R. Huang, V. Sidoravicius. Walking within growing domains: recurrence versus transience. Electron. J. Probab. 19 (2014), no. 106, 1-20.
A. Dembo, R. Huang, V. Sidoravicius. Monotone interaction of walk and graph: recurrence versus transience. Electron. Commun. Probab. 19 (2014), no. 76, 1-12.
Edited volumes / Proceedings
F. Flandoli, R. Huang, A. Papini. Interacting particles with coalescence. Springer Volume "Winter school Marseille January 2024", to appear.
S. Ludwig, J. Sirignano, R. Huang, G. Papanicolaou. A forward-backward algorithm for stochastic control problems: using the stochastic maximum principle as an alternative to dynamic programming. Proceedings of 1st ICORES (2012), 83-89, SciTePress, Portugal.