Jian Tang

Computer Vision and Pattern Recognition · with Liu · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #11,731 of 21,575 by trust here, #12,419 by citations
• Representation & Self-Supervised Learning — 10 citations into it; #1,918 of 3,145 by trust here, #2,178 by citations

Whom Jian Tang trusts overall

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

1. Ian T. Jolliffe
2. L. V. D. van der Maaten
3. Mathieu Jacomy
4. Mikhail Belkin
5. Mathieu Bastian
6. Geoffrey E. Hinton
7. Sanjoy Dasgupta
8. Chanop Silpa-Anan
9. Josh Tenenbaum
10. Sebastien Heymann

Who trusts Jian Tang overall

1. Ehsan Amid
2. Leland McInnes
3. Dmitry Kobak
4. Manfred K. Warmuth
5. J. Böhm
6. Cynthia Rudin
7. Tim Sainburg
8. Aleksandr Ianevski
9. Yingfan Wang
10. John Healy

Papers from Jian Tang's perspective

Ordered by how strongly the researchers Jian Tang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Visualizing Large-scale and High-dimensional Data (2016) — 426 citations