Xu-Ying Liu

Artificial Intelligence · with Geng · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Information Systems — 5 citations into it

Whom Xu-Ying Liu trusts overall

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

1. Min-Ling Zhang
2. Mikko Koivisto
3. Shantanu Godbole
4. Shuo Wang
5. Lida Abdi

Papers from Xu-Ying Liu's perspective

Ordered by how strongly the researchers Xu-Ying Liu 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. Discriminative Methods for Multi-labeled Classification (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
3. Learning multi-label scene classification (Pattern Recognition)
4. A Review on Multi-Label Learning Algorithms
5. Classifier chains for multi-label classification (Machine-mediated learning)
6. Mining Multi-label Data
7. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
8. Inducing Features of Random Fields
9. Correlative multi-label video annotation (ACM Multimedia)
10. Advances in Exact Bayesian Structure Discovery in Bayesian Networks

Their papers

• Binary relevance for multi-label learning: an overview (2018) — 422 citations