Yi Liu

Artificial Intelligence · with Jain · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #30,869 of 35,345 by trust here, #32,362 by citations

Whom Yi Liu trusts overall

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

1. Thorsten Joachims
2. Olivier Chapelle
3. Vladimir Naumovich Vapnik
4. Yoav Freund

Who trusts Yi Liu overall

1. Jesper E. van Engelen
2. Holger H. Hoos

Papers from Yi Liu's perspective

Ordered by how strongly the researchers Yi Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Transductive Inference for Text Classification using Support Vector Machines
2. ImageNet classification with deep convolutional neural networks
3. A Stochastic Approximation Method
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. A decision-theoretic generalization of on-line learning and an application to boosting
7. Learning from Labeled and Unlabeled Data using Graph Mincuts
8. Partially labeled classification with Markov random walks (Neural Information Processing Systems)
9. Semi-Supervised Learning
10. Text Classification from Labeled and Unlabeled Documents using EM

Their papers

• SemiBoost: Boosting for Semi-Supervised Learning (2009) — 360 citations