Xingyuan Chen

Artificial Intelligence · with Cai · 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 Xingyuan Chen trusts overall

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

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

Papers from Xingyuan Chen's perspective

Ordered by how strongly the researchers Xingyuan Chen 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

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)