Yuan Gong

Artificial Intelligence · with Chung · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 198 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Gong trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Yann LeCun
  6. Pete Warden
  7. Alex Krizhevsky
  8. Jimmy Ba
  9. Ilya Sutskever
  10. Jia Deng

Who trusts Yuan Gong overall

  1. Po-Yao (Bernie) Huang
  2. Jiasen Lu
  3. Yanpeng Zhao
  4. Andrey Guzhov
  5. Khaled Koutini
  6. Rowan Zellers
  7. Xiaohan Ding
  8. Soham Deshmukh
  9. Arsha Nagrani
  10. Ke Chen

Papers from Yuan Gong's perspective

Ordered by how strongly the researchers Yuan 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. 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