James Newsome

Computer Networks and Communications · 2003–2012

A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom James Newsome trusts overall

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

  1. Brad Karp
  2. Nick Littlestone
  3. Paramvir Victor Bahl
  4. John R. Douceur
  5. Lewis Girod
  6. Olatunji Ruwase
  7. David Moore
  8. Deborah Estrin
  9. Samuel Madden
  10. Helen J. Wang

Who trusts James Newsome overall

  1. Simon Pak Ho Chung
  2. Battista Biggio
  3. Dawn Song
  4. Blaine Nelson
  5. Georgios Portokalidis
  6. Roberto Perdisci
  7. Marco Barreno
  8. Aloysius Ka-Lau Mok
  9. Pavel Laskov
  10. Nicholas Nethercote

Papers from James Newsome's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Chord: A scalable peer-to-peer lookup service for internet applications (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  5. GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
  6. Secure Execution via Program Shepherding (USENIX Security Symposium)
  7. GPSR: greedy perimeter stateless routing for wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks
  10. CCured: type-safe retrofitting of legacy code (ACM-SIGACT Symposium on Principles of Programming Languages)

Their papers