40 citations · 76 across the 15 of their papers we have counts for
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3 papers · 1 filter
cs.CE2020★ 40 cited
Accelerated computational micromechanics
Hao Zhou, Kaushik Bhattacharya
We present an approach to solving problems in micromechanics that is amenable to massively parallel calculations through the use of graphical processing units and other accelerator…
cs.CV2020★ 3 cited
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
Haosu Zhou, Qingfeng Xu, Nan Li
In the design optimization of metal forming, it is increasingly significant to use surrogate models to analyse the finite element analysis (FEA) simulations. However, traditional s…
cs.LG2020
Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
Jorge Laval, Hao Zhou
This paper highlights several properties of large urban networks that can have an impact on machine learning methods applied to traffic signal control. In particular, we show that…