Minglang Yin

Statistical and Nonlinear Physics · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minglang Yin trusts overall

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

  1. G. Em Karniadakis
  2. Maizar Raissi
  3. Diederik P. Kingma
  4. Ameya Dilip Jagtap
  5. Somdatta Goswami
  6. Lu Lu
  7. Paris Perdikaris
  8. Jimmy Ba
  9. Sifan Wang
  10. Cosmin Anitescu

Who trusts Minglang Yin overall

  1. Pengzhan Jin

Papers from Minglang Yin's perspective

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

Their papers