Hua Li

Artificial Intelligence · with Chen · 2007

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hua Li trusts overall

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

  1. Andrew McCallum
  2. Yiming Yang
  3. Jon M. Kleinberg
  4. Thorsten Joachims
  5. Fernando C Pereira
  6. Fei Sha
  7. Vladimir Naumovich Vapni
  8. Fuchun Peng
  9. John D. Lafferty
  10. Lise Getoor

Who trusts Hua Li overall

  1. Ramiz M. Aliguliyev
  2. Ani Nenkova
  3. David Bamman
  4. Rasim M. Alguliyev
  5. Ramesh Nallapati
  6. Xiaojun Wan
  7. Carlos A. Colmenares
  8. Dingding Wang

Papers from Hua Li's perspective

Ordered by how strongly the researchers Hua Li 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. Gradient-based learning applied to document recognition
  4. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. The Nature of Statistical Learning Theory

Their papers