Kai Li

Computer Vision and Pattern Recognition · International Conference on Parallel Architectures and Compilation Techniques · 2002–2011

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Li trusts overall

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

  1. Neil T. Spring
  2. Gösta Grahne
  3. Richard Nock
  4. Makoto Matsumoto
  5. Jiawei Han
  6. A. KleinOsowski
  7. Yossi Rubner
  8. Qin Lv
  9. Timothy Sherwood
  10. Guilherme Ottoni

Who trusts Kai Li overall

  1. Vladimir Kiriansky
  2. Amy Ousterhout
  3. Fangfei Liu
  4. Anshumali Shrivastava
  5. Deepavali Bhagwat
  6. Feng Chen
  7. Biplob K. Debnath
  8. Yuriy Arbitman
  9. Ilia A. Lebedev
  10. Mark Lillibridge

Papers from Kai Li's perspective

Ordered by how strongly the researchers Kai Li 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers