Hui Li

Materials Chemistry · Cement & Concrete Composites · 2004–2020

A researcher in the Science corpus: 22 papers; trusts 18 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Li trusts overall

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

  1. G. Em Karniadakis
  2. Maizar Raissi
  3. C. Norberg
  4. Diederik P. Kingma
  5. Cengiz Duran Atis
  6. D. Chung
  7. Paris Perdikaris
  8. Xavier Glorot
  9. J. Ou
  10. Ameya Dilip Jagtap

Who trusts Hui Li overall

  1. R. Howser
  2. Paratibha Aggarwal
  3. Ali Nazari
  4. José Dinis Silvestre
  5. A. Rashad
  6. H. Dhonde
  7. Yonathan Reches
  8. F. Sanchez
  9. Rahul Singh
  10. Shadi Riahi

Papers from Hui Li's perspective

Ordered by how strongly the researchers Hui Li 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. Understanding the difficulty of training deep feedforward neural networks
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers