Liang Tao

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Liang Tao trusts overall

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

1. Grigorios Tsoumakas
2. Min-Ling Zhang
3. Johannes Fürnkranz
4. Le Song
5. Arthur Gretton
6. Zhi-Hua Zhou
7. Alex Smola

Papers from Liang Tao's perspective

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

1. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
2. A kernel method for multi-labelled classification
3. Multi-Label Classification: An Overview
4. ImageNet classification with deep convolutional neural networks
5. Ieee Transactions on Knowledge and Data Engineering 1 Multi-label Neural Networks with Applications to Functional Genomics and Text Categorization
6. Classifier chains for multi-label classification (Machine-mediated learning)
7. Measuring Statistical Dependence with Hilbert-Schmidt Norms
8. Random k -Labelsets: An Ensemble Method for Multilabel Classification
9. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Learning shared subspace for multi-label dimensionality reduction via dependence maximization (2015) — 21 citations