Kuan Deng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Kuan Deng trusts overall

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

  1. Yehuda Koren
  2. Xiangnan He
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Thomas Kipf
  8. Steffen Rendle
  9. Max Welling
  10. Xavier Glorot

Who trusts Kuan Deng overall

  1. Junliang Yu
  2. Xiang Wang
  3. Xiangnan He
  4. Chen Gao
  5. Fuli Feng
  6. Lianghao Xia
  7. Chao Huang
  8. Yu Zheng
  9. Hongzhi Yin
  10. Wenjie Wang

Papers from Kuan Deng's perspective

Ordered by how strongly the researchers Kuan Deng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers