Wei Kang

Artificial Intelligence · with Yang · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Kang trusts overall

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

  1. Alex Graves
  2. Daniel Povey
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Vassil Panayotov
  6. Ashish Vaswani
  7. Tom Ko
  8. Yoshua Bengio
  9. Guoguo Chen
  10. Jimmy Ba

Who trusts Wei Kang overall

  1. Sanyuan Chen
  2. Yushen Chen
  3. Chengyi Wang

Papers from Wei Kang's perspective

Ordered by how strongly the researchers Wei Kang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers