175 citations · 293 across the 11 of their papers we have counts for
4 papers · 1 filter
Linear TreeShap
Peng Yu, Chao Xu, Albert Bifet +1
Decision trees are well-known due to their ease of interpretability. To improve accuracy, we need to grow deep trees or ensembles of trees. These are hard to interpret, offsetting…
A machine learning based method to generate random packed isotropic porous media with desired porosity and permeability
Jianhui Li, Tingting Tang, Shimin Yu +1
Porous materials are used in many fields, including energy industry, agriculture, medical industry, etc. The generation of digital porous media facilitates the fabrication of real…
Multiplex Heterogeneous Graph Convolutional Network
Pengyang Yu, Chaofan Fu, Yanwei Yu +3
Heterogeneous graph convolutional networks have gained great popularity in tackling various network analytical tasks on heterogeneous network data, ranging from link prediction to…
The reconstructed thermal lattice Boltzmann flux solver and its applications for simulations of thermal flows
Jinhua Lu, Chuanshan Dai, Peng Yu
The thermal lattice Boltzmann flux solver (TLBFS) has been proposed to overcome the drawbacks of the thermal lattice Boltzmann models. However, as a weakly compressible model, its…