Yuanjun Gao

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #26,912 of 35,345 by trust here, #23,731 by citations
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Yuanjun Gao trusts overall

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

1. Diederik P. Kingma
2. Danilo Jimenez Rezende
3. Michalis K. Titsias
4. Max Welling
5. Rahul G. Krishnan
6. Geoffrey E. Hinton
7. Matthew J. Johnson
8. Evan Archer
9. Yoshua Bengio
10. Shakir Mohamed

Who trusts Yuanjun Gao overall

1. Saurabh Saxena
2. Naoya Takeishi
3. Kristopher T. Jensen
4. Scott W. Linderman
5. C. A. Naesseth
6. Josue Nassar
7. Alex H. Williams
8. John P. Cunningham
9. Yoshinobu Kawahara
10. Ta-Chu Kao

Papers from Yuanjun Gao's perspective

Ordered by how strongly the researchers Yuanjun Gao 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. Gradient-based learning applied to document recognition
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Their papers

• Linear dynamical neural population models through nonlinear embeddings (2016) — 168 citations
• Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data (2016) — 1,017 citations