Yaohui Jin

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Natural Language Processing — 27 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 6 citations into it

Whom Yaohui Jin trusts overall

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

1. Diederik P. Kingma
2. Tomas Mikolov
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Ilya Sutskever

Papers from Yaohui Jin's perspective

Ordered by how strongly the researchers Yaohui Jin 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Language Models are Unsupervised Multitask Learners
10. Efficient Estimation of Word Representations in Vector Space

Their papers

• De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation (2021) — 28 citations
• Multi-Task Label Embedding for Text Classification (2017) — 101 citations