Author

Shengxin Kong

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Open access Aug 2026

DeepTL4SE: Deep Transfer Learning for Power System State Estimation via Physics-Informed Data Generation

Deep Transfer Learning for State Estimation (DeepTL4SE), which combines Physics-Informed Data Generation (PIDG) with supervised transfer learning, is presented, which produces a point estimate of the current electrical state.

Zhen-De Zhang, Xianglong Li, Shengxin Kong et al. · Energies · 0 citations

Preprint Aug 2026

Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language

ADSL-PDE improves both search efficiency and optimization stability, achieving an improvement of more than 52% within the first ten evolution iterations, suggesting a broader principle for LLM-driven auto-design: effective agents do not merely require stronger reasoning, but rather a search representation that concentr...

Shengxin Kong, Liwen Xu, Jingwen Fu · 1 citation