1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
StablePDENet: Enhancing Neural Operator Stability through Physics-Informed Residual-Sensitivity Regularization
Chutian Huang, Chang Ma, Kaibo Wang +1
Learning solution operators for differential equations with neural networks has shown great potential in scientific computing, but ensuring their stability under input perturbation…
cs.RO2025
Topology-Driven Trajectory Optimization for Modelling Controllable Interactions Within Multi-Vehicle Scenario
Changjia Ma, Yi Zhao, Zhongxue Gan +2
Trajectory optimization in multi-vehicle scenarios faces challenges due to its non-linear, non-convex properties and sensitivity to initial values, making interactions between vehi…
math.NA2024★ 1 cited
PFWNN: A deep learning method for solving forward and inverse problems of phase-field models
Gang Bao, Chang Ma, Yuxuan Gong
Phase-field models have been widely used to investigate the phase transformation phenomena. However, it is difficult to solve the problems numerically due to their strong nonlinear…