Cheng Niu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Natural Language Processing — 32 citations into it

Whom Cheng Niu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jiwei Li

Papers from Cheng Niu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. This PDF file includes: Materials and Methods
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Diversifying Dialogue Generation with Non-Conversational Text (2020) — 47 citations
• A General Cross-Domain Recommendation Framework via Bayesian Neural Network (2018) — 37 citations