Qiaoyu Tan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Graph Learning — 30 citations into it
• Statistical and Nonlinear Physics — 29 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Information Systems — 9 citations into it
• Molecular Biology — 6 citations into it

Whom Qiaoyu Tan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Tomas Mikolov
4. Yann LeCun
5. Quoc V. Le
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Shaosheng Cao
9. Ilya Sutskever
10. Max Welling

Papers from Qiaoyu Tan's perspective

Ordered by how strongly the researchers Qiaoyu Tan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Representation Learning for Social Network Analysis (2019) — 116 citations