Junkun Chen

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 8 papers; trusts 262 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Junkun Chen trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Ronan Collobert
  8. Yann LeCun
  9. Oriol Vinyals
  10. Quoc V. Le

Who trusts Junkun Chen overall

  1. Michael Crawshaw
  2. Renjie Zheng
  3. Ximeng Sun
  4. Ankur Bapna
  5. Richard He Bai
  6. Rong Ye
  7. Rameswar Panda
  8. P. Xu
  9. Mingbo Ma
  10. Bill Yuchen Lin

Papers from Junkun Chen's perspective

Ordered by how strongly the researchers Junkun Chen 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers