Lina Zhou

Artificial Intelligence · 2004–2017

A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Lina Zhou trusts overall

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

  1. Peter D. Turney
  2. Janyce Wiebe
  3. Dunja Mladenic
  4. Yoshua Bengio
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. Nitin Jindal
  8. Kyung-shik Shin
  9. Bo Pang
  10. Arjun Mukherjee

Who trusts Lina Zhou overall

  1. Xinyi Zhou
  2. Judee K. Burgoon
  3. C. Brame
  4. Mikalai Tsytsarau
  5. Bo Pang
  6. Andrew B. Goldberg
  7. Nan Li
  8. Karishma Sharma
  9. A. Ozbayoglu
  10. Catalina L. Toma

Papers from Lina Zhou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers