Author

Qiang Cheng

h-index 4 View on Semantic Scholar

We have 1 of 11 papers

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.

#machine learning Preprint Aug 2026

TabNSM: Neural Sparse Mixer for Tabular Regression

TabNSM provides an effective and scalable approach to deep tabular regression, and demonstrates that selective interaction modeling, structured regression supervision, and difficulty-aware sampling provide an effective and scalable approach to deep tabular regression.

Ali Eslamian, Qiang Cheng · 0 citations