Chengxi Zang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 112 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Chengxi Zang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Laurent Dinh
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. L. V. D. van der Maaten
  9. Yann LeCun
  10. Kaiming He

Who trusts Chengxi Zang overall

  1. Zhuoran Qiao
  2. Jaehyeong Jo
  3. Yuhao Zhang
  4. Bowen Jin
  5. Weili Nie
  6. Seul Lee
  7. Hang Jiang
  8. Gang Liu
  9. Arash Vahdat
  10. Sung Ju Hwang

Papers from Chengxi Zang's perspective

Ordered by how strongly the researchers Chengxi Zang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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