Yihong Chen

Artificial Intelligence · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Information Systems — 9 citations into it
• Reinforcement Learning — 6 citations into it

Whom Yihong Chen trusts overall

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

1. Xiangnan He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Ronald J. Williams
7. Alex Krizhevsky
8. John C. Duchi
9. Oriol Vinyals
10. Richard S. Sutton

Who trusts Yihong Chen overall

1. Bing Liu

Papers from Yihong Chen's perspective

Ordered by how strongly the researchers Yihong Chen 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• You Impress Me: Dialogue Generation via Mutual Persona Perception (2020) — 187 citations
• λOpt: Learn to Regularize Recommender Models in Finer Levels (2019) — 47 citations