Huibin Li

Computational Mechanics · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huibin Li trusts overall

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

  1. David L. Donoho
  2. E.J. Candes
  3. Karol Gregor
  4. Michael Lustig
  5. Uwe Schmidt
  6. Saiprasad Ravishankar
  7. Yann LeCun
  8. Junfeng Yang
  9. Gitta Kutyniok
  10. Geoffrey E. Hinton

Who trusts Huibin Li overall

  1. Christopher A. Metzler
  2. Jian Zhang
  3. Michael T. McCann
  4. Jun Shu
  5. Morteza Mardani
  6. Yan Yang
  7. Kyong Hwan Jin
  8. Eunhee Kang
  9. Yiping Lu
  10. Zhonghao Zhang

Papers from Huibin Li's perspective

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

Their papers