Zhao Yang

Artificial Intelligence · with Torr · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 272 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Computer Vision and Pattern Recognition — 61 citations into it
• Reinforcement Learning — 26 citations into it
• Model Architectures — 21 citations into it
• Multimodal Learning — 16 citations into it
• Natural Language Processing — 10 citations into it
• Optimization & Training — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Zhao Yang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Karen Simonyan
6. Yann LeCun
7. Diederik P. Kingma
8. Ilya Sutskever
9. Sepp Hochreiter
10. Richard S. Sutton

Who trusts Zhao Yang overall

1. Chang Liu
2. Dmitry Nikulin
3. Henghui Ding
4. Wenliang Zhao
5. Xueyan Zou
6. Xiangtai Li
7. Anastasia Ianina
8. Yongming Rao

Papers from Zhao Yang's perspective

Ordered by how strongly the researchers Zhao Yang 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• LAVT: Language-Aware Vision Transformer for Referring Image Segmentation (2021) — 526 citations
• Learn to Interpret Atari Agents (2018) — 30 citations