MS09

Title: Advances in Optimization Theory and Numerical Methods for Nonlinear Systems

Session 1

Name of the speaker	Title	University
Chenglong Bao	A scalable adversarial learning approach using natural gradients for solving partial differential equations	Yau Mathematical Sciences Center, Tsinghua University
Jian Huang	Numerical discretization of a Darcy-Forchheimer flow with variable density and heat transfer	Xiangtan University, China
Zihao Hu	Extragradient Type Methods for Riemannian Variational Inequality Problems	The Hong Kong University of Science and Technology

Session 2

Name of the speaker	Title	University
Daniel Zhengyu Huang	Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems	Beijing International Center for Mathematical Research, Center for Machine Learning Research, Peking University
Shu Liu	A scalable adversarial learning approach using natural gradients for solving partial differential equations	University of California, Los Angeles
Fei Wang	DeepONet Augmented by Randomized Neural Networks for Effcient Operator Learning in PDEs	Xi’an Jiaotong University

Session 3

Name of the speaker	Title	University
Zhiguo Wang	Diffusion Models for Chance-Constrained Optimization	SIchuan University
Chaozhen Wei	An effcient primal dual algorithm for generalized Wasserstein gradient flows	University of Electronic Science and Technology of China
Huayi Wei	FEALPy: A Cross-Platform Intelligent CAX Engine with Scalable Tensor Computation for Multi-Method Simulations	Xiangtan University