Hien Van Nguyen

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 368 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 79 citations into it; #16,133 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 78 citations into it; #10,294 of 21,575 by trust here, #11,721 by citations
• Representation & Self-Supervised Learning — 38 citations into it
• Computational Mechanics — 19 citations into it
• Signal Processing — 11 citations into it; #4,047 of 7,572 by trust here, #3,784 by citations
• Model Architectures — 9 citations into it
• Generative Models — 8 citations into it
• Cancer Research — 6 citations into it

Whom Hien Van Nguyen trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. David G. Lowe
5. Yann LeCun
6. Diederik P. Kingma
7. Ilya Sutskever
8. Kaiming He
9. Christopher K. I. Williams
10. Kate Saenko

Who trusts Hien Van Nguyen overall

1. Vishal M. Patel
2. Gabriella Csurka
3. Raghuraman Gopalan
4. Mohammad Rostami
5. Ramalingam Chellappa
6. Pau Panareda Busto

Papers from Hien Van Nguyen's perspective

Ordered by how strongly the researchers Hien Van Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Generalized Domain-Adaptive Dictionaries (2013) — 187 citations
• DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning (2015) — 77 citations
• Multiple Class Novelty Detection Under Data Distribution Shift (2020) — 17 citations
• Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks (2020) — 98 citations