Meiyu Huang

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 206 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #32,444 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 44 citations into it; #20,363 of 21,575 by trust here, #16,367 by citations
• Representation & Self-Supervised Learning — 37 citations into it
• Cancer Research — 10 citations into it; #1,434 of 1,780 by trust here, #1,546 by citations

Whom Meiyu Huang trusts overall

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

1. Mingsheng Long
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Baochen Sun
6. Yoshua Bengio
7. Kate Saenko
8. Ilya Sutskever
9. Yann LeCun
10. Jeff Donahue

Who trusts Meiyu Huang overall

1. Jindong Wang

Papers from Meiyu Huang's perspective

Ordered by how strongly the researchers Meiyu Huang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Visual Domain Adaptation with Manifold Embedded Distribution Alignment (2018) — 651 citations
• Transfer Learning with Dynamic Adversarial Adaptation Network (2019) — 388 citations