Hongwei Yong

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 314 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Hongwei Yong trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. David G. Lowe
  4. Radford M. Neal
  5. Geoffrey E. Hinton
  6. Zhou Wang
  7. Alex Krizhevsky
  8. Michael I. Jordan
  9. A. Bovik
  10. Yoshua Bengio

Who trusts Hongwei Yong overall

  1. Syed Waqas Zamir
  2. Kai Zhang
  3. Kede Ma
  4. Weixia Zhang
  5. Aditya Arora
  6. X. Lin
  7. Wangmeng Zuo
  8. Chong Mou
  9. Zongsheng Yue
  10. Salman Hameed Khan

Papers from Hongwei Yong's perspective

Ordered by how strongly the researchers Hongwei Yong 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers