Lidong Zhou

Computer Networks and Communications · First International Conference on Broadband Networks · 2002–2020

A researcher in the Science corpus: 8 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lidong Zhou trusts overall

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

  1. Miguel Oom Temudo de Castro
  2. Paul Feldman
  3. Yvo Desmedt
  4. Michael J. Fischer
  5. Michael Ben-Or
  6. David Chaum
  7. Shafi Goldwasser
  8. Nancy A. Lynch
  9. Avi Wigderson

Who trusts Lidong Zhou overall

  1. Sean C. Rhea
  2. Patrick R. Eaton

Papers from Lidong Zhou's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rethinking the Inception Architecture for Computer Vision
  6. WaveNet: A Generative Model for Raw Audio
  7. Recurrent Neural Network Regularization
  8. Gated Graph Sequence Neural Networks
  9. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  10. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)

Their papers