activity
20192025
most citedAn Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps

11 citations · 28 across the 10 of their papers we have counts for

collaborators

10 papers

math.NA2025

Learning Lévy density via adaptive RKHS regression with bi-level optimization

Luxuan Yang, Fei Lu, Ting Gao +2

We propose a nonparametric method to learn the Lévy density from probability density data governed by a nonlocal Fokker-Planck equation. We recast the problem as identifying the ke…

cs.LG2023

Multi-task Meta Label Correction for Time Series Prediction

Luxuan Yang, Ting Gao, Wei Wei +3

Time series classification faces two unavoidable problems. One is partial feature information and the other is poor label quality, which may affect model performance. To address th…

math.DS2022★ 5 cited

A Data-Driven Approach for Discovering the Most Probable Transition Pathway for a Stochastic Carbon Cycle System

Jianyu Chen, Jianyu Hu, Wei Wei +1

Many natural systems exhibit tipping points where changing environmental conditions spark a sudden shift to a new and sometimes quite different state. Global climate change is ofte…

math.NA2022★ 11 cited

An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps

Wei Wei, Ting Gao, Jinqiao Duan +1

Many complex real world phenomena exhibit abrupt, intermittent or jumping behaviors, which are more suitable to be described by stochastic differential equations under non-Gaussian…

math.NA2021

The Most Likely Transition Path for a Class of Distribution-Dependent Stochastic Systems

Wei Wei, Jianyu Hu

Distribution-dependent stochastic dynamical systems arise widely in engineering and science. We consider a class of such systems which model the limit behaviors of interacting part…

math.NA2021★ 6 cited

Most Probable Transitions from Metastable to Oscillatory Regimes in a Carbon Cycle System

Wei Wei, Jianyu Hu, Jianyu Chen +1

Global climate changes are related to the ocean's store of carbon. We study a carbonate system of the upper ocean, which has metastable and oscillatory regimes, under small random…

math.PR2021

Large Deviations for SDE driven by Heavy-tailed Lévy Processes

Wei Wei, Qiao Huang, Jinqiao Duan

We obtain sample-path large deviations for a class of one-dimensional stochastic differential equations with bounded drifts and heavy-tailed Lévy processes. These heavy-tailed Lévy…

math-ph2020★ 6 cited

Estimating the Most Probable Transition Time for Stochastic Dynamical Systems

Yuanfei Huang, Ying Chao, Wei Wei +1

This work is devoted to the investigation of the most probable transition time between metastable states for stochastic dynamical systems. Such a system is modeled by a stochastic…

math.PR2019

Rolling with Random Slipping and Twisting: A Large Deviation Point of View

Qiao Huang, Wei Wei, Jinqiao Duan

We study a rolling model from the perspective of probability. More precisely, we consider a Riemannian manifold rolling against Euclidean space, where the rolling is coupled with r…

math.PR2019

Large Deviations for Stochastic Differential Equations Driven by Semimartingales

Qiao Huang, Wei Wei, Jinqiao Duan

We prove a large deviation principle for stochastic differential equations driven by semimartingales, with additive controls. Conditions are given in terms of characteristics of dr…