Search Results for author: Yingtao Luo

Found 5 papers, 3 papers with code

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)

no code implementations9 Jun 2021 Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang

Partial differential equations (PDEs) are concise and understandable representations of domain knowledge, which are essential for deepening our understanding of physical processes and predicting future responses.

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients

no code implementations2 Jun 2021 Yingtao Luo, Qiang Liu, Yuntian Chen, WenBo Hu, Jun Zhu

Previous algorithms can discover some simple instances of PDEs-VC but fail in the discovery of PDEs with coefficients of higher complexity, as a result of coefficient estimation inaccuracy.

Density Estimation

STAN: Spatio-Temporal Attention Network for Next Location Recommendation

2 code implementations8 Feb 2021 Yingtao Luo, Qiang Liu, Zhaocheng Liu

The next location recommendation is at the core of various location-based applications.

Deep Spatial Learning with Molecular Vibration

1 code implementation14 Nov 2020 Ziyang Zhang, Yingtao Luo

Machine learning over-fitting caused by data scarcity greatly limits the application of machine learning for molecules.

A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures

1 code implementation11 Nov 2020 Yingtao Luo, XueFeng Zhu

Here, inspired by quantum theory, we propose a probabilistic deep learning paradigm for the inverse design of functional meta-structures.

Probabilistic Deep Learning

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