Fangjian Guo

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Statistics and Probability — 15 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Fangjian Guo trusts overall

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

1. Jerome H. Friedman
2. Heikki Haario
3. Yoav Freund
4. Rajesh Ranganath
5. Gareth O. Roberts
6. David M. Blei
7. Richard H. Byrd
8. Matthew D. Hoffman
9. Radford M. Neal
10. Samuel J. Gershman

Who trusts Fangjian Guo overall

1. Mingzhang Yin
2. Anna Kuzina
3. Andrew C. Miller
4. Evgenii Egorov
5. Cheng Zhang
6. Francesco Locatello
7. Mingyuan Zhou
8. N. Foti
9. Evgeny Burnaev
10. Judith Bütepage

Papers from Fangjian Guo's perspective

Ordered by how strongly the researchers Fangjian Guo 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Boosting Variational Inference (2016) — 81 citations