Fei Tony Liu

Artificial Intelligence · 2008–2012

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Tony Liu trusts overall

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

  1. Rfdo 2XWOLHUV
  2. Stephen D. Bay
  3. T. Shi
  4. Naoki Abe
  5. Kenji Yamanishi
  6. Graham J. Williams
  7. Aleksandar Lazarevic
  8. Mark Schwabacher
  9. Steve Horvath
  10. Bianca Zadrozny

Who trusts Fei Tony Liu overall

  1. Eyke Hüllermeier
  2. Sahand Hariri
  3. Charu C. Aggarwal
  4. Tomás Pevný
  5. Yassine Himeur
  6. Jingkang Yang
  7. Jamie Hayes
  8. Willem Waegeman
  9. Chong Zhou
  10. Ibomoiye Domor Mienye

Papers from Fei Tony Liu's perspective

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

  1. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  2. LOF: identifying density-based local outliers
  3. Distance-based outliers: algorithms and applications (The VLDB journal)
  4. ImageNet classification with deep convolutional neural networks
  5. Random Forests
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Estimating the Support of a High-Dimensional Distribution

Their papers