Hang Yin

Control and Systems Engineering · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hang Yin trusts overall

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

  1. John Schulman
  2. Igor Mordatch
  3. Jan Matas
  4. Pieter Abbeel
  5. Yunzhu Li
  6. Zackory Erickson
  7. E. Todorov
  8. Priya Sundaresan
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Hang Yin overall

  1. Ana Lucia Pais
  2. Miao Li
  3. Herke Van Hoof
  4. Aude Gemma Billard

Papers from Hang Yin's perspective

Ordered by how strongly the researchers Hang Yin 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers