Yabin Zhang

Artificial Intelligence · with Jia · 2019

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #20,643 of 35,345 by trust here, #23,077 by citations
• Representation & Self-Supervised Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Yabin Zhang trusts overall

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

1. Mingsheng Long
2. Geoffrey E. Hinton
3. Kaiming He
4. Kate Saenko
5. Yoshua Bengio
6. Alex Krizhevsky
7. Eric Tzeng
8. Yaroslav Ganin
9. Judy Hoffman
10. Trevor Darrell

Who trusts Yabin Zhang overall

1. Mohammad Rostami
2. Hui Tang
3. Toshihiko Matsuura
4. Shuhao Cui
5. Hyeonseob Nam
6. Yahao Liu
7. Aram Galstyan
8. Tatsuya Harada
9. K. Jia
10. Shuhui Wang

Papers from Yabin Zhang's perspective

Ordered by how strongly the researchers Yabin Zhang 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Domain-Symmetric Networks for Adversarial Domain Adaptation (2019) — 354 citations