Weiyang Lin

Algorithms & Complexity · 2000–2004

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Weiyang Lin trusts overall

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

  1. Rakesh Agrawal
  2. Rayadurgam Srikant
  3. Daniel Billsus
  4. Paul Resnick
  5. Geoffrey I. Webb
  6. B. Liu
  7. Michael J. Pazzani
  8. Wynne Hsu
  9. Yiming Ma
  10. Tomasz Imielinski

Who trusts Weiyang Lin overall

  1. Bamshad Mobasher
  2. Serhiy Morozov
  3. Yongfeng Zhang
  4. Federico Michele Facca
  5. Cynthia Rudin
  6. Zan Huang
  7. Xavier Amatriain
  8. Pengfei Wang
  9. Xu Chen
  10. Pier Luca Lanzi

Papers from Weiyang Lin's perspective

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

  1. Fast Algorithms for Mining Association Rules
  2. An open architecture for collaborative filtering of netnews
  3. The Nature of Statistical Learning Theory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Mining association rules between sets of items in large databases
  6. ImageNet classification with deep convolutional neural networks
  7. Mining quantitative association rules in large relational tables
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Integrating Classification and Association Rule Mining
  10. Empirical Analysis of Predictive Algorithms for Collaborative Filtering

Their papers