Meishan Zhang

Artificial Intelligence · arXiv.org · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 152 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Meishan Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Kyunghyun Cho
  7. Alex Krizhevsky
  8. John C. Duchi
  9. Sepp Hochreiter
  10. Diederik P. Kingma

Who trusts Meishan Zhang overall

  1. Wei Xue
  2. Muhammad Abdul-Mageed
  3. Lei Zhang
  4. Tao Li
  5. Lyle Ungar
  6. Shuai Wang
  7. Markus Eberts
  8. Isabelle Augenstein
  9. Giannis Bekoulis
  10. Fei Li

Papers from Meishan Zhang's perspective

Ordered by how strongly the researchers Meishan Zhang 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers