1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
A Graph Neural Network Framework for Grid-Based Simulation
Haoyu Tang, Wennan Long
Reservoir simulations are computationally expensive in the well control and well placement optimization. Generally, numerous simulation runs (realizations) are needed in order to a…
physics.geo-ph2021★ 1 cited
Use of low-fidelity models with machine-learning error correction for well placement optimization
Haoyu Tang, Louis J. Durlofsky
Well placement optimization is commonly performed using population-based global stochastic search algorithms. These optimizations are computationally expensive due to the large num…
cs.LG2020
Generalized Label Enhancement with Sample Correlations
Qinghai Zheng, Jihua Zhu, Haoyu Tang +3
Recently, label distribution learning (LDL) has drawn much attention in machine learning, where LDL model is learned from labelel instances. Different from single-label and multi-l…