Jun Zhu

Control and Systems Engineering · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Zhu trusts overall

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

  1. Xiaoxi Ding
  2. Yann LeCun
  3. G. S. Babu
  4. Daniel Weimer
  5. Liang Guo
  6. Olivier Janssens
  7. L. Eon Bottou
  8. Qingbo He
  9. Yoshua Bengio
  10. Naipeng Li

Who trusts Jun Zhu overall

  1. Meng Ma
  2. Cheng-Geng Huang
  3. Jinyang Jiao
  4. Zhu Mao
  5. Hongzhong Huang
  6. Ming Zhao

Papers from Jun Zhu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers