Q. Liao

Artificial Intelligence · International Conference on Human Factors in Computing Systems · 2016–2023

A researcher in the Science corpus: 12 papers; trusts 243 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Q. Liao trusts overall

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

  1. Marco Tulio Ribeiro
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Brian Y. Lim
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Been Kim
  10. Scott M. Lundberg

Who trusts Q. Liao overall

  1. J.D. Zamfirescu-Pereira
  2. Jinhee Kim
  3. Microsoft Research
  4. Xinru Wang
  5. Vivian Lai
  6. Amy X. Zhang
  7. Ben Shneiderman
  8. Jennifer Wortman Vaughan
  9. Michelle Vaccaro
  10. Michael J. Muller

Papers from Q. Liao's perspective

Ordered by how strongly the researchers Q. Liao 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers