Jiahong Li

Computer Vision and Pattern Recognition · with Li · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 87 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #13,369 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 22 citations into it; #21,499 of 35,345 by trust here, #23,077 by citations
• Generative Models — 19 citations into it
• Model Architectures — 5 citations into it

Whom Jiahong Li trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Individualized Treat
5. L. V. D. van der Maaten
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Who trusts Jiahong Li overall

1. Ekin Dogus Cubuk
2. Barret Zoph

Papers from Jiahong Li's perspective

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

Their papers

• Data Augmentation in Emotion Classification Using Generative Adversarial Networks (2017) — 121 citations
• Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection (2021) — 345 citations