Yan Liu

Artificial Intelligence · with Abe · 2007–2009

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #9,650 of 35,345 by trust here, #20,377 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Yan Liu trusts overall

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

1. Michael I. Jordan
2. Robert Tibshirani
3. Andrew McCallum
4. Elena A. Erosheva
5. Tom L. Burr
6. Zoubin Ghahramani
7. Sam T. Roweis
8. Nicolai Meinshausen
9. David Madigan
10. Don Coppersmith

Who trusts Yan Liu overall

1. Julian McAuley
2. Yixiang Fang
3. Jure Leskovec
4. Ramnath Balasubramanyan
5. Tuan M. V. Le
6. Jaewon Yang
7. Cedric De Boom
8. Cécile Bothorel
9. William W. Cohen
10. Hady W. Lauw

Papers from Yan Liu's perspective

Ordered by how strongly the researchers Yan Liu 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. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Regression Shrinkage and Selection via the Lasso
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Topic-link LDA: joint models of topic and author community (2009) — 344 citations
• Temporal causal modeling with graphical granger methods (2007) — 336 citations