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20142023
most citedMachine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

661 citations · 1.6k across the 30 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 1 cited

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families

Yibo Yang, Jianlong Wu, Hongyang Li +3

The correspondence between residual networks and dynamical systems motivates researchers to unravel the physics of ResNets with well-developed tools in numeral methods of ODE syste…

cs.CV2019★ 6 cited

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation

Yibo Yang, Hongyang Li, Xia Li +3

The panoptic segmentation task requires a unified result from semantic and instance segmentation outputs that may contain overlaps. However, current studies widely ignore modeling…

cs.CV2019★ 113 cited

Expectation-Maximization Attention Networks for Semantic Segmentation

Xia Li, Zhisheng Zhong, Jianlong Wu +3

Self-attention mechanism has been widely used for various tasks. It is designed to compute the representation of each position by a weighted sum of the features at all positions. T…

cs.LG2019★ 661 cited

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

Georgios Kissas, Yibo Yang, Eileen Hwuang +3

Advances in computational science offer a principled pipeline for predictive modeling of cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and…

stat.ML2019★ 5 cited

Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems

Yibo Yang, Paris Perdikaris

We present a probabilistic deep learning methodology that enables the construction of predictive data-driven surrogates for stochastic systems. Leveraging recent advances in variat…