Jun Feng

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #29,184 of 35,345 by trust here, #23,731 by citations
• Natural Language Processing — 23 citations into it
• Graph Learning — 12 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Reinforcement Learning — 6 citations into it

Whom Jun Feng trusts overall

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

1. Antoine Bordes
2. Yoshua Bengio
3. Ronald J. Williams
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Jason Aaron Edward Weston
7. Richard Socher
8. Richard S. Sutton
9. Diederik P. Kingma
10. Alex Krizhevsky

Who trusts Jun Feng overall

1. Xu Han
2. Yuyu Zhang
3. John Boaz Lee
4. Yatin Nandwani
5. Yichun Yin
6. Zheng Fang
7. Ningyu Zhang
8. Fei Yuan
9. Pengfei Yu
10. Andrew Gaut

Papers from Jun Feng's perspective

Ordered by how strongly the researchers Jun Feng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks (2014) — 355 citations
• Reinforcement Learning for Relation Classification From Noisy Data (2018) — 353 citations
• GAKE: Graph Aware Knowledge Embedding (2016) — 92 citations