Hong Wang, et al. "Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling." International Conference on Learning Representations (ICLR), Spotlight, 2024.
Huanshuo Dong, et al. "Accelerating PDE Data Generation via Differential Operator Action in Solution Space." International Conference on Machine Learning (ICML), 2024.
Hong Wang, et al. "Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training." Conference on Neural Information Processing Systems (NeurIPS), 2025.
Hong Wang, et al. "SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning." Conference on Neural Information Processing Systems (NeurIPS), 2025.
Hong Wang, et al. "STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem." Conference on Neural Information Processing Systems (NeurIPS), 2025.
Zhen Huang, et al. "Self-Attention to Operator Learning-based 3D-IC Thermal Simulation." Design Automation Conference (DAC), 2025.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA