Daniel Zhengyu Huang — accepted AI-conference papers

2025

Improving Monte Carlo Tree Search for Symbolic Regression

Zhengyao Huang, Daniel Zhengyu Huang, Tiannan Xiao, Dina Ma, Zhenyu Ming, Hao Shi +1

NeurIPS 2025poster

Symbolic regression aims to discover concise, interpretable mathematical expressions that satisfy desired objectives, such as fitting data, posing a highly combinatorial optimization problem. While genetic programming has been the dominant approach, recent efforts have explored reinforcement learnin…

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2022

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty

Luning Sun, Daniel Zhengyu Huang, Hao Sun, Jian-Xun Wang

NeurIPS 2022accept

Nonlinear dynamics are ubiquitous in science and engineering applications, but the physics of most complex systems is far from being fully understood. Discovering interpretable governing equations from measurement data can help us understand and predict the behavior of complex dynamic systems. Altho…

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