Li Wei

Signal Processing · Data mining and knowledge discovery · 2006–2007

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Li Wei trusts overall

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

  1. Eamonn J. Keogh
  2. Chotirat (Ann) Ratanamahatana
  3. Thorsten Joachims
  4. Toni M. Rath
  5. Avrim Blum
  6. Mikhail Belkin
  7. Robert T. Olszewski
  8. Kamal Nigam
  9. Raghavan Manmatha
  10. S. Chawla

Who trusts Li Wei overall

  1. Charu C. Aggarwal
  2. Tak-Chung Fu
  3. Ben D. Fulcher
  4. Zhengzheng Xing
  5. Eamonn J. Keogh
  6. Jae-Gil Lee
  7. Xuchao Zhang
  8. Jessica Lin
  9. Rohit J. Kate
  10. Nick S. Jones

Papers from Li Wei's perspective

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

  1. Transductive Inference for Text Classification using Support Vector Machines
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Learning from Labeled and Unlabeled Data using Graph Mincuts
  5. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A personal communication
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Text Classification from Labeled and Unlabeled Documents using EM

Their papers