Ziyu Xiang — accepted AI-conference papers

2025

Graph-based Symbolic Regression with Invariance and Constraint Encoding

Ziyu Xiang, Kenna Ashen, Xiaofeng Qian, Xiaoning Qian

NeurIPS 2025poster

Symbolic regression (SR) seeks interpretable analytical expressions that uncover the governing relationships within data, providing mechanistic insight beyond 'black-box' models. However, existing SR methods often suffer from two key limitations: (1) *redundant representations* that fail to capture…

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2021

Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian +2

AAAI 2021technical

Automatic Feature Engineering (AFE) aims to extract useful knowledge for interpretable predictions given data for the machine learning tasks. Here, we develop AFE to extract dependency relationships that can be interpreted with functional formulas to discover physics meaning or new hypotheses for th…

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