Jian Chang Mao

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Chang Mao trusts

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

  1. Li Deng (in Artificial Intelligence)

Who trusts Jian Chang Mao

  1. Xiangnan He (in Computer Vision and Pattern Recognition)
  2. Tat-seng Chua (in Computer Vision and Pattern Recognition)
  3. Xiang Wang (in Computer Vision and Pattern Recognition)

Papers from Jian Chang Mao's perspective

Ordered by how strongly the researchers Jian Chang Mao 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. Gradient-based learning applied to document recognition
  4. A Fast Learning Algorithm for Deep Belief Nets
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. Natural Language Processing (Almost) from Scratch
  7. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
  8. Object recognition from local scale-invariant features
  9. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  10. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

Their papers