Lei Chen

Artificial Intelligence · Proceedings of the VLDB Endowment · 2005–2020

A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Chen trusts overall

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

  1. Eamonn J. Keogh
  2. Michail Vlachos
  3. Anil K. Jain
  4. Yuhan Cai
  5. Latanya Sweeney
  6. Chotirat (Ann) Ratanamahatana
  7. Leo Breiman
  8. Raymond T. Ng
  9. Kun Liu
  10. Thomas Neumann

Who trusts Lei Chen overall

  1. Jason Lines
  2. Anthony J. Bagnall
  3. Saeed Reza Aghabozorgi
  4. Osman Abul
  5. Seungwoo Jeon
  6. Sheng Wang
  7. Zhenhui Jessie Li
  8. Xiucheng Li
  9. B. Mckercher
  10. Cong Fu

Papers from Lei Chen's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Et al
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers