Wu Xindong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Information Systems — 9 citations into it
• Natural Language Processing — 5 citations into it

Whom Wu Xindong trusts overall

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

1. David M. Blei

Papers from Wu Xindong's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. GloVe: Global Vectors for Word Representation
3. Latent Dirichlet Allocation
4. Text Classification from Labeled and Unlabeled Documents using EM
5. On the limited memory BFGS method for large scale optimization
6. Reading Tea Leaves: How Humans Interpret Topic Models
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. TwitterRank: finding topic-sensitive influential twitterers (Web Search and Data Mining)
9. The Author-Topic Model for Authors and Documents (Conference on Uncertainty in Artificial Intelligence)
10. Automatic Evaluation of Topic Coherence (North American Chapter of the Association for Computational Linguistics)

Their papers

• Short Text Topic Modeling Techniques, Applications, and Performance: A Survey (2019) — 307 citations