Binghui Wang

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 11 papers; trusts 182 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Binghui Wang trusts overall

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

  1. Neil Zhenqiang Gong
  2. Jinyuan Jia
  3. Prateek Mittal
  4. George Danezis
  5. Qiang Cao
  6. Haifeng Yu
  7. Le Zhang
  8. Geoffrey E. Hinton
  9. Bimal Viswanath
  10. Yazan Boshmaf

Who trusts Binghui Wang overall

  1. Neil Zhenqiang Gong
  2. Jinyuan Jia
  3. Ahmed Salem
  4. Peng Gao
  5. Le Zhang
  6. Milad Nasr
  7. David Stutz
  8. Katja Auernhammer
  9. Mengjia Yan
  10. Nicholas Carlini

Papers from Binghui Wang's perspective

Ordered by how strongly the researchers Binghui Wang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers