Di Yang

Information Systems · with Chandra · 2018

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

• Information Systems — 16 citations into it
• Computer Networks and Communications — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Code Generation & Program Synthesis — 6 citations into it

Whom Di Yang trusts overall

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

1. Raymond P. L. Buse
2. Tung Thanh Nguyen

Who trusts Di Yang overall

1. Ruchi Puri

Papers from Di Yang's perspective

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

1. Using structural context to recommend source code examples (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
2. MAPO: Mining and Recommending API Usage Patterns (European Conference on Object-Oriented Programming)
3. Graph-based mining of multiple object usage patterns (ESEC/FSE '09)
4. Learning from examples to improve code completion systems
5. Synthesizing API usage examples
6. How Program History Can Improve Code Completion
7. Jungloid mining: helping to navigate the API jungle (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
8. Detecting object usage anomalies
9. Synthesis of interface specifications for Java classes (ACM-SIGACT Symposium on Principles of Programming Languages)
10. Parseweb: a programmer assistant for reusing open source code on the web

Their papers

• Aroma: code recommendation via structural code search (2018) — 171 citations