Jenq-Neng Hwang

Computer Vision and Pattern Recognition · 2000–2023

A researcher in the Science corpus: 10 papers; trusts 608 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Jenq-Neng Hwang trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Robert E. Schapire
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. John F. Canny
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Jenq-Neng Hwang overall

  1. Stamatios Lefkimmiatis
  2. Willie Neiswanger
  3. Yunjin Chen
  4. Costas I. Cotsaces
  5. Frank D. Wood

Papers from Jenq-Neng Hwang's perspective

Ordered by how strongly the researchers Jenq-Neng Hwang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers