MS08

Title: Stochastic Dynamical Systems and Machine Learning

Session 1

Name of the speaker	Title	University
Zhiwen Zhang	Stochastic Interacting Particle Field Methods in the Computation of Chemotaxis and Haptotaxis	The University of Hong Kong
Zhen Zhang	Neural Evolutionary Kernel Method for Evolutionary PDEs	Southern University of Science and Technology
Pingyuan Wei	Metastable Transitions in Periodically Perturbed Langevin Systems under Small Noise	Southeast University

Session 2

Name of the speaker	Title	University
Yuanfei Huang	Entropy Production in Non-Gaussian Active Matter: Theory and Algorithm	City University of Hong Kong
Qiao Huang	Second-order Hamilton–Jacobi–Bellman equations at the crossroads of stochastic geometric mechanics and stochastic thermodynamics	Southeast University
Shenglan Yuan	Rare events in a stochastic vegetation-water dynamical system based on machine learning	Great Bay University

Session 3

Name of the speaker	Title	University
Shuting Gu	Iterative Proximal Minimization Formulation for saddle points search	Shenzhen Technology University
Weiguo Gao	How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?	Fudan University

Session 4

Name of the speaker	Title	University
Hongqiao Wang	Active learning for minimum energy path with Gaussian process surrogate	Central South University
Xiaopeng Chen	Positivity-preserving Numerical Algorithms for Stochastic Differential Equations Driven by Fractional Brownian Motion	Shantou University
Chengyu Liu	Generative Path Method for Wasserstein Gradient Flow	City University of Hong Kong
Haijun Yu	A Gradient-Oriented Diffusion Sampling Method for Deep Partial Differential Equation Solvers	Chinese Academy of Sciences