Zhangyong Liang
PulseAugur coverage of Zhangyong Liang — every cluster mentioning Zhangyong Liang across labs, papers, and developer communities, ranked by signal.
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New SDZE framework enables training of 10M-dimensional PINNs on single GPU
Researchers have developed a new framework called the Stochastic Dimension-free Zeroth-order Estimator (SDZE) to address memory and computational constraints in training physics-informed neural networks (PINNs). SDZE ac…
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New DLDMF framework enhances neural PDE solvers for parameter generalization
Researchers have developed a new physics-informed framework called Disentangled Latent Dynamics Manifold Fusion (DLDMF) to improve the generalization capabilities of neural surrogate models for solving parameterized par…
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New MODE architecture enhances physics-informed neural networks
Researchers have introduced Manifold-Orthogonal Dual-spectrum Extrapolation (MODE), a novel micro-architecture for adapting physics-informed neural networks (PINNs). MODE addresses limitations in existing methods like S…
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New PINN framework enhances integral constraint enforcement in high dimensions
Researchers have introduced a new framework called Stochastic Dimension Implicit Functional Projection (SDIFP) to address challenges in enforcing integral constraints within high-dimensional neural network solvers for p…
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New AI methods tackle complex differential equations
Researchers are exploring novel neural network architectures and training methodologies to enhance the solution of complex differential equations. Papers introduce reformulated neural operators that incorporate an auxil…