Hongjun Wang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Natural Language Processing — 39 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Generative Models — 27 citations into it

Whom Hongjun Wang trusts overall

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

1. Alex Graves
2. Yoon Kim
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Sepp Hochreiter
6. Diederik P. Kingma
7. Ian J. Goodfellow
8. Yann LeCun
9. J. Urgen Schmidhuber
10. Ilya Sutskever

Papers from Hongjun Wang's perspective

Ordered by how strongly the researchers Hongjun Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Adding A Filter Based on The Discriminator to Improve Unconditional Text Generation (2020) — 5 citations
• A Discriminator Improves Unconditional Text Generation without Updating the Generator (2020)