Jinying Chen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinying Chen trusts overall

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

  1. Chih-Jen Lin
  2. Karen Spärck Jones
  3. Mark H. Montague
  4. Hsuan-Tien Lin
  5. Zhiyuan Liu
  6. J. Aslam
  7. Wenyi Huang
  8. Buzhou Tang
  9. Abhyuday N. Jagannatha
  10. Tomas Mikolov

Papers from Jinying Chen's perspective

Ordered by how strongly the researchers Jinying Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. LIBSVM: A library for support vector machines
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers