5 papers
A physics-coupled graph neural operator for mid-plane six-component stress tensor field prediction in concrete penetration
Wenpu Du, Peng Zhou, Yunlong Xia +5
The penetration-resistant design of concrete structures requires the spatiotemporal evolution of the stress field within the target, whereas in design only the strength grade, the…
Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
Luyi Jia, Boyan Zhang, Yilun Liu +1
Diffusion and flow-matching schedules control the signal and noise coefficients that mix data and noise along affine probability paths. Minimizing a kinetic action defined on coeff…
Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate
Wenpu Du, Peng Zhou, Yunlong Xia +5
Although the impact resistance of concrete has been studied extensively, a framework linking mesoscale heterogeneity to full-field stress-tensor prediction has been lacking. Data w…
CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and Refinement
Boyang Zhang, Qingxin Xiao, Lingwei Dang +1
Language-model agents are vulnerable to indirect prompt injection (IPI) during tool use: adversarial instructions hidden in untrusted tool outputs can covertly redirect legitimate…
A Constitutive Markov Physics-Informed Neural Operator (MPNO) for Autoregressive Stability in Transient Dynamics
Wenpu Du, Peng Zhou, Yunlong Xia +5
Neural operators applied to transient-dynamics PDEs with strong discontinuities exhibit autoregressive instability: in concrete-penetration stress-field prediction, the wavelet neu…