Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
H. Song, Z. Li, M. Deng, X. Li, D. Pan, Z. Lai, W. Wang
BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
D. Pan, T. Lou, X. Li, H. Song, Y. Wu, M. Deng, M. Yang, W. Wang
Reformulating Neural Operators in d+1 Dimensions for Embedding Evolution
H. Song, Z. Li, X. Zhang, Z. Gan, Z. Lai, W. Wang
The 40th Annual Conference on Neural Information Processing Systems, 2026
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Z. Li, H. Song, D. Xiao, Z. Lai, W. Wang
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Parameter Estimation of Structural Dynamics with Neural Operators Enabled Surrogate Modeling
M. Zhou, H. Song, W. Ye, W. Wang, Z. Lai
Mechanical Systems and Signal Processing, 237, 112914, 2025
Automated Design for Physics-Informed Modeling with Convolutional Neural Networks
W. Zhou, H. Song, X. Chu
Communications Physics, 8(1), 509, 2025
Training Structures as Distributed Sensors: A Case Study of Impact Force Identification Using Neural Operators
Y. Gan, H. Song, Z. Lai
Journal of Sound and Vibration, 119395, 2025
Conference Reviewer (recurring):
ICML, NeurIPS, KDD, AAAI, ICLR, CVPR