Kaizhi Qian

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kaizhi Qian trusts overall

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

  1. Diederik P. Kingma
  2. Christophe Veaux
  3. Yang Gao
  4. Geoffrey E. Hinton
  5. Hirokazu Kameoka
  6. Aäron van den Oord
  7. Junichi Yamagishi
  8. Jimmy Ba
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Kaizhi Qian overall

  1. Keon Lee
  2. Ahmed Omran
  3. Po-Chun Hsu
  4. Zhaoxi Mu
  5. Xu Tan
  6. Rongjie Huang
  7. Ali Asghar Zare
  8. Shijun Wang
  9. Tzu-hsien Huang
  10. Hung-yi Lee

Papers from Kaizhi Qian's perspective

Ordered by how strongly the researchers Kaizhi Qian 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. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers