Minqiang Xu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minqiang Xu trusts overall

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

  1. David Snyder
  2. Daniel Povey
  3. Jiankang Deng
  4. Joon Son Chung
  5. Arsha Nagrani

Papers from Minqiang Xu's perspective

Ordered by how strongly the researchers Minqiang Xu 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. ImageNet classification with deep convolutional neural networks
  3. The Kaldi Speech Recognition Toolkit
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. VoxCeleb: A Large-Scale Speaker Identification Dataset
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers