Zihan Lin

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zihan Lin trusts overall

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

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

Who trusts Zihan Lin overall

  1. Junliang Yu
  2. Xuheng Cai
  3. Xin Xia
  4. Hongzhi Yin
  5. Chao Huang
  6. Tong Chen

Papers from Zihan Lin's perspective

Ordered by how strongly the researchers Zihan Lin 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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