Chengyue Gong

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 670 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Chengyue Gong trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Tomas Mikolov
  9. Sepp Hochreiter
  10. Alex Graves

Who trusts Chengyue Gong overall

  1. Xu Tan
  2. Dilin Wang
  3. Hadi Pouransari
  4. Shuai Tang
  5. Andrew Brock
  6. Tianwei Yin
  7. Michael S. Albergo
  8. Qiang Liu
  9. Xiaohan Ding
  10. Chen Zhu

Papers from Chengyue Gong's perspective

Ordered by how strongly the researchers Chengyue Gong 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers