Chong Wang

Artificial Intelligence · with Huang · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chong Wang trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Graves
  6. Marc'Aurelio Ranzato
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Ronald J. Williams
  10. Dzmitry Bahdanau

Who trusts Chong Wang overall

  1. Xu Tan
  2. Chengyue Gong
  3. Tao Qin
  4. Qiang Wang
  5. Di He
  6. Yingce Xia
  7. Rico Sennrich
  8. Jamie Ryan Kiros
  9. Sam Wiseman
  10. Emmanouil Antonios Platanios

Papers from Chong Wang's perspective

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

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

Their papers