Richard C. Wang

Artificial Intelligence · 2010–2015

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #19,795 of 35,345 by trust here, #5,788 by citations
• Natural Language Processing — 14 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Information Retrieval & Search — 6 citations into it

Whom Richard C. Wang trusts overall

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

1. Chih-Jen Lin
2. Muthu Dayalan
3. Fei Wu
4. Frank Lin

Who trusts Richard C. Wang overall

1. Bhavana Dalvi
2. Heiko Paulheim

Papers from Richard C. Wang's perspective

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

1. Multitask Learning
2. Curriculum learning
3. Learning Deep Architectures for AI
4. LIBSVM: A library for support vector machines
5. Is Learning The n-th Thing Any Easier Than Learning The First?
6. MapReduce: simplified data processing on large clusters
7. Coupled semi-supervised learning for information extraction (Web Search and Data Mining)
8. Effective Self-Training for Parsing
9. Open Information Extraction Using Wikipedia
10. Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

Their papers

• Never-Ending Learning (2015) — 1,135 citations
• Coupled semi-supervised learning for information extraction (2010) — 489 citations
• Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists (2015) — 39 citations