Yan Pan

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 204 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #17,382 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 38 citations into it; #4,732 of 21,575 by trust here, #5,620 by citations
• Natural Language Processing — 21 citations into it
• Model Architectures — 13 citations into it
• Media Technology — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Information Retrieval & Search — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Yan Pan trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ruslan Salakhutdinov
4. Ilya Sutskever
5. Yoshua Bengio
6. Brian Kulis
7. Yann LeCun
8. Diederik P. Kingma
9. Kaiming He
10. Wei David Liu

Who trusts Yan Pan overall

1. Mingsheng Long
2. Shiv Ram Dubey
3. Jingkuan Song
4. Jianmin Wang
5. Wu-Jun Li
6. Han Zhu
7. Chen Huang
8. Zhangjie Cao
9. Haomiao Liu
10. Jun Wang

Papers from Yan Pan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Simultaneous feature learning and hash coding with deep neural networks (2015) — 854 citations
• Supervised Hashing for Image Retrieval via Image Representation Learning (2014) — 977 citations
• Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition (2014) — 747 citations
• Modelling Sentence Pairs with Tree-structured Attentive Encoder (2016) — 40 citations