Tony Q. S. Quek

Electrical and Electronic Engineering · 2011–2019

A researcher in the Science corpus: 20 papers; trusts 96 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Tony Q. S. Quek trusts overall

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

  1. Martin Haenggi
  2. Jeffrey G. Andrews
  3. Vikram Chandrasekhar
  4. Woongsup Lee
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. François Baccelli
  8. Sergey Ioffe
  9. Yann LeCun
  10. Radha Krishna Ganti

Who trusts Tony Q. S. Quek overall

  1. Howard H. Yang
  2. Hoon Lee
  3. Hesham Elsawy
  4. Mingzhe Chen
  5. Sang Hyun Lee
  6. Khaled Ben Letaief
  7. Zhaohui Yang
  8. H. Vincent Poor
  9. Shunqing Zhang
  10. Ekram Hossain

Papers from Tony Q. S. Quek's perspective

Ordered by how strongly the researchers Tony Q. S. Quek trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers