Haochao Ying

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 19 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Haochao Ying trusts overall

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

1. Xiangnan He
2. Zichao Yang
3. Steffen Rendle
4. Ruining He
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Diederik P. Kingma
9. Eunjoon Cho
10. Alex Krizhevsky

Who trusts Haochao Ying overall

1. Shoujin Wang
2. Shuai Zhang
3. Zhe Xie

Papers from Haochao Ying's perspective

Ordered by how strongly the researchers Haochao Ying 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Improving Automatic Source Code Summarization via Deep Reinforcement Learning (2018) — 433 citations
• Sequential Recommender System based on Hierarchical Attention Networks (2018) — 423 citations