Weiyi Zheng

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Weiyi Zheng trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Abdel-rahman Mohamed
  6. Daniel Povey
  7. Oriol Vinyals
  8. Hasim Sak
  9. Alex Krizhevsky
  10. Ilya Sutskever

Who trusts Weiyi Zheng overall

  1. Wei-Ning Hsu
  2. Evgeny Kharitonov
  3. Alexei Baevski
  4. Morgane Rivière
  5. Abdel-rahman Mohamed
  6. Yu Zhang
  7. Tu Nguyen
  8. Ye Jia
  9. Changhan Wang
  10. Qiantong Xu

Papers from Weiyi Zheng's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers