Mingkun Huang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingkun Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Abdel-rahman Mohamed
  4. Liang Lu
  5. Jinyu Li
  6. Jeremy Heng Meng Wong
  7. Hasim Sak
  8. Yoshua Bengio
  9. Oriol Vinyals
  10. Yajie Miao

Who trusts Mingkun Huang overall

  1. Jingwen Ye
  2. Xinyu Wang
  3. Jianping Gou
  4. Haisheng Su
  5. Xinchao Wang
  6. Yong Jiang
  7. Yixin Ji
  8. Baosheng Yu

Papers from Mingkun Huang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers