M. Liu

Artificial Intelligence · IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428) · 2002–2019

A researcher in the Science corpus: 11 papers; trusts 170 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom M. Liu trusts overall

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

  1. Cynthia Dwork
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yann LeCun
  6. Seapahn Meguerdichian
  7. Diederik P. Kingma
  8. Ian J. Goodfellow
  9. Yoshua Bengio
  10. Angelia Nedić

Who trusts M. Liu overall

  1. Jian Pan Li
  2. Mihail L. Sichitiu
  3. Avishek Joey Bose
  4. Christian Bettstetter
  5. Zygmunt J. Haas
  6. Christoph Sommer
  7. Muhammad Mukarram Bin Tariq
  8. Guolong Lin
  9. Paolo Santi
  10. Edwige Cyffers

Papers from M. Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers