Shih-Wei Lin

Artificial Intelligence · 2007–2010

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Shih-Wei Lin trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Ping-Feng Pai
  3. David E. Goldberg
  4. Lijuan Cao
  5. Ron Kohavi
  6. Wei‐Chiang Hong
  7. Biswanath Samanta
  8. Kyung-shik Shin
  9. Olivier Chapelle
  10. Hsuan-Tien Lin

Who trusts Shih-Wei Lin overall

  1. Bing Xue
  2. Abdulhamit Subasi
  3. Mayank Arya Chandra
  4. Marc Claesen
  5. Gehad Ismail Sayed
  6. Varun Ojha
  7. Mengjie Zhang
  8. Ningshan Chen
  9. Iwan Syarif
  10. Yudong Zhang

Papers from Shih-Wei Lin's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Genetic Algorithms in Search Optimization and Machine Learning
  7. Wrappers for Feature Subset Selection
  8. Support-Vector Networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers