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Home/Authors/Yuyang Wang

Yuyang Wang

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2Materials Science×1AI×1

Frequent co-authors

Andrej Tschalzev1×
Nick Erickson1×
Huzefa Rangwala1×
Stefan Lüdtke1×
Heiner Stuckenschmidt1×
Christian Bartelt1×

Research Timeline

2026
What drives performance in molecular MPNNs? An operator-level factorial benchmark

The paper introduces an operator-level factorial benchmark for molecular MPNNs, finding that message construction (specifically concatenation-based mixing) is the primary determinant of performance, rather than the complexity of the node update mechanism.

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

The paper introduces TabPrep, a feature engineering pipeline that systematically improves performance across various tabular machine learning models by addressing structural data patterns ignored by current benchmarks.

Highlighted terms show continued research focus across papers

Papers

cs.LGRecentJun 1, 2026

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

Andrej Tschalzev, Nick Erickson, Yuyang Wang, Huzefa Rangwala +3 more

The paper introduces TabPrep, a feature engineering pipeline that systematically improves performance across various tabular machine learning models by addressing structural data patterns ignored by c…

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cond-mat.mtrl-scics.AIcs.LGRecentMay 28, 2026

What drives performance in molecular MPNNs? An operator-level factorial benchmark

Panyu Jiao, Shuizhou Chen, Yiheng Shen, Yuyang Wang +2 more

The paper introduces an operator-level factorial benchmark for molecular MPNNs, finding that message construction (specifically concatenation-based mixing) is the primary determinant of performance, r…

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