151 citations · 472 across the 49 of their papers we have counts for
7 papers · 1 filter
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning
Jiaxin Gao, Wenbo Hu, Dongxiao Zhang +1
Electrical energy is essential in today's society. Accurate electrical load forecasting is beneficial for better scheduling of electricity generation and saving electrical energy.…
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
Mengge Du, Yuntian Chen, Dongxiao Zhang
The working mechanisms of complex natural systems tend to abide by concise and profound partial differential equations (PDEs). Methods that directly mine equations from data are ca…
Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development
Yuntian Chen, Dongxiao Zhang, Qun Zhao +1
An algorithm named InterOpt for optimizing operational parameters is proposed based on interpretable machine learning, and is demonstrated via optimization of shale gas development…
AutoKE: An automatic knowledge embedding framework for scientific machine learning
Mengge Du, Yuntian Chen, Dongxiao Zhang
Imposing physical constraints on neural networks as a method of knowledge embedding has achieved great progress in solving physical problems described by governing equations. Howev…
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
Hao Xu, Yuntian Chen, Dongxiao Zhang
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundament…
High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques
Hao Xu, Jinglong Lin, Qianyi Liu +7
As an essential attribute of organic compounds, polarity has a profound influence on many molecular properties such as solubility and phase transition temperature. Thin layer chrom…
Integration of knowledge and data in machine learning
Yuntian Chen, Dongxiao Zhang
Scientific research's mandate is to comprehend and explore the world, as well as to improve it based on experience and knowledge. Knowledge embedding and knowledge discovery are tw…