Hanchen Wang

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanchen Wang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yann LeCun
  7. Sepp Hochreiter
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Hanchen Wang overall

  1. Yatian Pang
  2. Xumin Yu
  3. Renrui Zhang

Papers from Hanchen Wang's perspective

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

Their papers