Minjie Wang

Artificial Intelligence · 2014–2025

A researcher in the Science corpus: 7 papers; trusts 48 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Minjie Wang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Oriol Vinyals
  6. Yann LeCun
  7. Sepp Hochreiter
  8. Diederik P. Kingma
  9. Kaiming He
  10. J. Urgen Schmidhuber

Who trusts Minjie Wang overall

  1. Vijay Prakash Dwivedi
  2. Linghao Song
  3. Vijay Anand Korthikanti
  4. Youhui Bai
  5. Minh N. Vu
  6. Swering With Extra
  7. Frank Torsten Bernd Seide
  8. Shaked Brody
  9. Cong Xie
  10. Yuhuai Wu

Papers from Minjie Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers