Hai X. Vo

Mechanical Engineering · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 6 citations into it; #4,841 of 8,300 by trust here, #8,047 by citations
• Ocean Engineering — 6 citations into it; #1,878 of 3,193 by trust here, #3,015 by citations

Whom Hai X. Vo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sébastien Strebelle
2. Jef Caers
3. Dean S. Oliver
4. Bernhard Schölkopf
5. J. V. Doren
6. Jan Dirk Jansen
7. Pallav Sarma
8. Alex Smola
9. Bülent Sankur
10. Albert C. Reynolds

Who trusts Hai X. Vo overall

1. Wenyue Sun
2. Louis J. Durlofsky

Papers from Hai X. Vo's perspective

Ordered by how strongly the researchers Hai X. Vo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• A New Differentiable Parameterization Based on Principal Component Analysis for the Low-Dimensional Representation of Complex Geological Models (2014) — 121 citations