Hong Wang

Hong Wang

PhD student at USTC, interested in Scientific computing, Machine Learning, AI for Science, LLM, RL

SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning

Published in Conference on Neural Information Processing Systems (NeurIPS), 2025

Recommended citation: Hong Wang, et al. "SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning." Conference on Neural Information Processing Systems (NeurIPS), 2025. https://arxiv.org/pdf/2510.24170

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Recommended citation: Hong Wang, et al. “SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning.” Conference on Neural Information Processing Systems (NeurIPS), 2025.