Hoang NT

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #25,302 of 35,345 by trust here, #20,377 by citations
• Graph Learning — 16 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Molecular Biology — 5 citations into it

Whom Hoang NT trusts overall

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

1. Diederik P. Kingma
2. Prithviraj Sen
3. Thomas Kipf
4. Mikhail Belkin
5. Geoffrey E. Hinton
6. William L. Hamilton
7. Jimmy Ba
8. Yoshua Bengio
9. Max Welling
10. Victor Garcia Satorras

Who trusts Hoang NT overall

1. Lingxiao Zhao
2. Vijay Prakash Dwivedi
3. Leman Akoglu
4. Chaitanya K. Joshi
5. Xiao Wang
6. Deyu Bo
7. T. Konstantin Rusch

Papers from Hoang NT's perspective

Ordered by how strongly the researchers Hoang NT 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Revisiting Graph Neural Networks: All We Have is Low-Pass Filters (2019) — 526 citations