Hao He

Artificial Intelligence · with Wang · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Generative Models — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Hao He trusts overall

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

1. Diederik P. Kingma
2. Hao Wang
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Jia Deng
6. Yoshua Bengio
7. Adam Coates
8. Yann LeCun
9. Andrew Y. Ng
10. Yunus Saatci

Papers from Hao He's perspective

Ordered by how strongly the researchers Hao He 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Continuously Indexed Domain Adaptation (2020) — 136 citations
• ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees (2018) — 32 citations