Wenzhan Song

Computer Networks and Communications · 2006–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenzhan Song trusts

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

  1. T. Nandagopal (in Computer Networks and Communications)
  2. M. Kodialam (in Computer Networks and Communications)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Wenzhan Song's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Mastering the game of Go with deep neural networks and tree search
  5. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
  6. Characterizing achievable rates in multi-hop wireless networks: the joint routing and scheduling problem (ACM/IEEE International Conference on Mobile Computing and Networking)
  7. Joint Channel Assignment and Routing for Throughput Optimization in Multiradio Wireless Mesh Networks (IEEE Journal on Selected Areas in Communications)
  8. Robust Physical-World Attacks on Deep Learning Models
  9. Impact of Interference on Multi-Hop Wireless Network Performance (ACM/IEEE International Conference on Mobile Computing and Networking)
  10. Neural network Trojan

Their papers