Publications

2026

  1. Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates

    H. Song, Z. Li, M. Deng, X. Li, D. Pan, Z. Lai, W. Wang

  2. 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

2025

  1. 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

  2. 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

  3. Automated Design for Physics-Informed Modeling with Convolutional Neural Networks

    W. Zhou, H. Song, X. Chu

    Communications Physics, 8(1), 509, 2025

  4. 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

  5. Reformulating Neural Operators in d+1 Dimensions for Embedding Evolution

    H. Song, Z. Li, X. Zhang, Z. Gan, Z. Lai, W. Wang


Academic Service

Conference Reviewer (recurring):

ICML, NeurIPS, KDD, AAAI, ICLR, CVPR


Awards & Honors