Yifan Hu

Artificial Intelligence · with Deng · 2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Electrical and Electronic Engineering — 15 citations into it
• Cognitive Neuroscience — 11 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Yifan Hu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Kaiming He
5. Alex Krizhevsky
6. Yann LeCun
7. Jimmy Ba
8. Ilya Sutskever
9. Kyunghyun Cho
10. Richard Socher

Papers from Yifan Hu's perspective

Ordered by how strongly the researchers Yifan Hu 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Going Deeper With Directly-Trained Larger Spiking Neural Networks (2020) — 736 citations
• HABERTOR: An Efficient and Effective Deep Hatespeech Detector (2020) — 35 citations