Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

Rethinking machine learning for engineering

A data maturity-deployment scale framework is introduced, arguing that engineering AI should be understood not as a search for a single best model, but as an evolving intelligence strategy that co-adapts with system maturity, operational context, and deployment scale.

Jay Lee, Hanqi Su, Ruoxin Wang et al. · 0 citations