Minqi Jiang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minqi Jiang trusts overall

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

  1. John Schulman
  2. Rui Wang
  3. Geoffrey E. Hinton
  4. J. Urgen Schmidhuber
  5. Yoshua Bengio
  6. Karl Cobbe
  7. Burr Settles
  8. Diederik P. Kingma
  9. Richard S. Sutton
  10. Alex Graves

Who trusts Minqi Jiang overall

  1. Rishabh Agarwal
  2. Sam Powers
  3. Fabian Paischer
  4. Jakob Bauer
  5. Christian Geishauser
  6. Max Schwarzer
  7. Eliot Xing
  8. Thomas Adler
  9. Michael Dennis

Papers from Minqi Jiang's perspective

Ordered by how strongly the researchers Minqi Jiang 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Et al

Their papers