Minqing Hu

Artificial Intelligence · 2004–2013

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 428 researchers here, as inferred from the citation graph.

Subfields

Whom Minqing Hu trusts overall

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

  1. Dekang Lin
  2. Peter D. Turney
  3. Chris D. Paice
  4. B. Liu
  5. George A. Miller
  6. Kenneth Ward Church
  7. Rakesh Agrawal
  8. Julian Kupiec
  9. Bo Pang
  10. Patrick Hanks

Who trusts Minqing Hu overall

  1. Saif M. Mohammad
  2. B. Liu
  3. Bing Liu
  4. Erik Cambria
  5. Hu Xu
  6. Panagiotis Adamopoulos
  7. Svetlana Kiritchenko
  8. Ivan Titov
  9. Anindya Ghose
  10. Zixuan Ke

Papers from Minqing Hu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

Their papers