Jiequn Han

Materials Chemistry · 2013–2023

A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Jiequn Han trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Sergey Ioffe
  4. Pierre Henry-Labordère
  5. Jimmy Ba
  6. Geoffrey E. Hinton
  7. Peter E. Caines
  8. Christian Szegedy
  9. Minyi Huang
  10. Yann LeCun

Who trusts Jiequn Han overall

  1. Hongwei Guo
  2. Xiaoying Zhuang
  3. Linfeng Zhang
  4. Navid Zobeiry
  5. Levi D. McClenny
  6. Han Gao
  7. Martin Hutzenthaler
  8. Ruimeng Hu
  9. Jared D. Willard
  10. Christopher Rackauckas

Papers from Jiequn Han's perspective

Ordered by how strongly the researchers Jiequn Han 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers