Wanjun Zhong

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 9 papers; trusts 85 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wanjun Zhong trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Jacob Devlin
  7. Kaiming He
  8. Yann LeCun
  9. Alex Graves
  10. Alec Radford

Who trusts Wanjun Zhong overall

  1. Xiaohan Zou
  2. Zhenghao Liu
  3. Xiang Wang
  4. Yixin Cao
  5. Neema Kotonya
  6. Xiangnan He
  7. Canasai Kruengkrai
  8. Amrith Krishna
  9. Yuhao Yang
  10. Zhiyuan Liu

Papers from Wanjun Zhong's perspective

Ordered by how strongly the researchers Wanjun Zhong 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers