Jun Zhu

Computer Vision and Pattern Recognition · with Hu · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Zhu trusts

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

  1. Olof Mogren (in Computer Vision and Pattern Recognition)
  2. Witold Pedrycz (in Computational Theory and Mathematics)
  3. Douglas Eck (in Generative Models)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Jimmy Ba (in Artificial Intelligence)

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. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. WaveNet: A Generative Model for Raw Audio
  4. Image-to-Image Translation with Conditional Adversarial Networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A Clockwork RNN

Their papers