Haoming Zhong

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 22 citations into it

Whom Haoming Zhong trusts overall

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

1. Yoshua Bengio
2. Dzmitry Bahdanau
3. Kyunghyun Cho
4. Jason Aaron Edward Weston
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Diederik P. Kingma
8. Kaiming He
9. Alex Krizhevsky

Papers from Haoming Zhong's perspective

Ordered by how strongly the researchers Haoming Zhong 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Condition Aware and Revise Transformer for Question Answering (2020) — 21 citations