Enyan Dai

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 38 citations into it
• Generative Models — 25 citations into it
• Media Technology — 20 citations into it
• Graph Learning — 16 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Safety Research — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Enyan Dai trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yann LeCun
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Muhammad Bilal Zafar
8. William L. Hamilton
9. Ilya Sutskever
10. Ian J. Goodfellow

Who trusts Enyan Dai overall

1. Chen Gao
2. Yu Zheng

Papers from Enyan Dai's perspective

Ordered by how strongly the researchers Enyan Dai 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. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information (2020) — 328 citations
• Unsupervised Image Super-Resolution with an Indirect Supervised Path (2019) — 49 citations