Hongmin Li

Electrical and Electronic Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongmin Li trusts overall

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

  1. Timothée Masquelier
  2. Trevor J. Hastie
  3. Simon J. Thorpe
  4. Tobi Delbruck
  5. Garrick Orchard
  6. Alex Krizhevsky
  7. Kwabena A. Boahen
  8. Leo Breiman
  9. Christoph Posch
  10. Yann LeCun

Who trusts Hongmin Li overall

  1. Wei Fang
  2. Hanle Zheng
  3. Amos Sironi
  4. Zhaofei Yu
  5. Man Yao
  6. Yujie Wu
  7. Yanqing Chen

Papers from Hongmin Li's perspective

Ordered by how strongly the researchers Hongmin Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers