Conghui Tan

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Conghui Tan trusts overall

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

  1. Yuhong Dai
  2. Shai Shalev-Shwartz
  3. Tong Zhang
  4. Roger Fletcher
  5. Lin Xiao
  6. Rie Johnson
  7. Boris Polyak
  8. Francis R. Bach
  9. Peilin Zhao
  10. Nicolas Le Roux

Who trusts Conghui Tan overall

  1. Soham De
  2. Chaoyang He
  3. Sharan Vaswani
  4. Leonard Berrada
  5. Nicolas Loizou
  6. Abhay Kumar Yadav
  7. Murali Annavaram
  8. David W. Jacobs
  9. Issam Hadj Laradji
  10. Andrew Zisserman

Papers from Conghui Tan's perspective

Ordered by how strongly the researchers Conghui Tan 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers