Kaili Huang

Natural Language Processing · 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

• Natural Language Processing — 29 citations into it
• Artificial Intelligence — 27 citations into it

Whom Kaili Huang trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Alec Radford
4. Geoffrey E. Hinton
5. Kyunghyun Cho
6. Dzmitry Bahdanau
7. Christopher D. Manning
8. Diederik P. Kingma

Papers from Kaili Huang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. Gradient-based learning applied to document recognition

Their papers

• A Large-Scale Chinese Short-Text Conversation Dataset (2020) — 151 citations