Jun Yan

Artificial Intelligence · 4 papers · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #5,347 of 35,345 by trust here, #3,440 by citations
• Natural Language Processing — 31 citations into it
• Representation & Self-Supervised Learning — 19 citations into it; #796 of 3,145 by trust here, #496 by citations

Whom Jun Yan trusts overall

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

1. Yoon Kim
2. Tomas Mikolov
3. Abhinandan Das
4. Tapas Kanungo
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Yoshua Bengio
8. Quoc V. Le

Who trusts Jun Yan overall

1. Ayman Farahat
2. Aleksandra Korolova
3. Bryan Perozzi
4. William L. Hamilton
5. Hongwei Wang
6. Aleksandar Bojchevski
7. Peng Cui
8. Xiao Huang
9. Shirui Pan
10. Jian Tang

Papers from Jun Yan's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• LINE: Large-scale Information Network Embedding (2015) — 5,660 citations
• Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification (2017) — 321 citations
• How much can behavioral targeting help online advertising? (2009) — 397 citations
• An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities (2017) — 44 citations