Changxin Tian

Information Systems · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Changxin Tian trusts overall

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

  1. Xiang Wang
  2. Xiangnan He
  3. Todd K. Moon
  4. Geoffrey E. Hinton
  5. Yehuda Koren
  6. Steffen Rendle
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Florian Strub
  10. Alex Krizhevsky

Who trusts Changxin Tian overall

  1. Junliang Yu
  2. Xuheng Cai

Papers from Changxin Tian's perspective

Ordered by how strongly the researchers Changxin Tian 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers