Yuanyuan Zhou

Computer Networks and Communications · Symposium on Operating Systems Principles · 2004–2010

A researcher in the Science corpus: 14 papers; trusts 38 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanyuan Zhou trusts overall

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

  1. Cormac Flanagan
  2. Dawson R. Engler
  3. Zhenmin Li
  4. Rakesh Agrawal
  5. Andy Chou
  6. Nicholas Nethercote
  7. Gösta Grahne
  8. Seth Hallem
  9. Sudheendra Hangal
  10. Shan Lu

Who trusts Yuanyuan Zhou overall

  1. Chanchal Kumar Roy
  2. Zhenmin Li
  3. Tao Xie
  4. James R. Cordy
  5. Jiawei Han
  6. Tung Thanh Nguyen
  7. Jaroslav M. Fowkes
  8. Mark Gabel
  9. Lin Tan
  10. Jian Pei

Papers from Yuanyuan Zhou's perspective

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

  1. Type-based race detection for Java (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  2. Fast Algorithms for Mining Association Rules
  3. Efficient and precise datarace detection for multithreaded object-oriented programs (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  4. The Nature of Statistical Learning Theory
  5. Checking system rules using system-specific, programmer-written compiler extensions (USENIX Symposium on Operating Systems Design and Implementation)
  6. Tracking down software bugs using automatic anomaly detection (Proceedings of the 24th International Conference on Software Engineering. ICSE 2002)
  7. A system and language for building system-specific, static analyses (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  8. Houdini, an Annotation Assistant for ESC/Java (FME)
  9. Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software (Network and Distributed System Security Symposium)
  10. Valgrind: A Program Supervision Framework (RV@CAV)

Their papers