Wei Liu

Artificial Intelligence · with Chawla · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #32,887 of 35,345 by trust here, #24,417 by citations
• Information Systems — 11 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it; #20,135 of 21,575 by trust here, #18,782 by citations
• Optimization & Training — 6 citations into it

Whom Wei Liu trusts overall

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

1. Kilian Q. Weinberger
2. David A. Cieslak
3. Martin Renqiang Min
4. Nitesh V. Chawla
5. Lawrence K. Saul
6. Michael Brückner
7. Qiang Yang
8. David A. Stanley
9. Choon Hui Teo
10. Jesse Davis

Who trusts Wei Liu overall

1. Octavio Loyola-González
2. Andrea Dal Pozzolo

Papers from Wei Liu's perspective

Ordered by how strongly the researchers Wei 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets (2011) — 162 citations
• Sparse Feature Attacks in Adversarial Learning (2014) — 60 citations