Tong Zhao

Artificial Intelligence · with Jiang · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Natural Language Processing — 26 citations into it
• Graph Learning — 19 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Tong Zhao trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yann LeCun
4. Thomas Kipf
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Max Welling
8. Ilya Sutskever
9. Kaiming He
10. Ruslan Salakhutdinov

Papers from Tong Zhao's perspective

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

Their papers

• Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts (2022) — 39 citations
• Data Augmentation for Graph Neural Networks (2020) — 507 citations