Yu Zhang

Artificial Intelligence · with Kambhampati · 2015–2017

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Zhang trusts overall

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

  1. Maria Fox
  2. Anca Dragan
  3. John D. Lafferty
  4. Moritz Göbelbecker
  5. Derek Long
  6. Malte Helmert
  7. Andrew McCallum
  8. Guy Hoffman
  9. Siddhartha S. Srinivasa

Who trusts Yu Zhang overall

  1. Sarath Sreedharan
  2. Tathagata Chakraborti
  3. Subbarao Kambhampati
  4. Giulia Vilone
  5. Amina Adadi
  6. Tim Miller

Papers from Yu Zhang's perspective

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

  1. Et al
  2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  3. Apprenticeship learning via inverse reinforcement learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. The Fast Downward Planning System
  6. A survey of robot learning from demonstration
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers