Ligeng Zhu

Computer Vision and Pattern Recognition · arXiv.org · 2018–2025

A researcher in the Science corpus: 9 papers; trusts 817 researchers and is trusted by 495 researchers here, as inferred from the citation graph.

Subfields

Whom Ligeng Zhu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Yann LeCun
  8. Quoc V. Le
  9. Ilya Sutskever
  10. Andrew Zisserman

Who trusts Ligeng Zhu overall

  1. Mingxing Tan
  2. Bo Zhao
  3. Han Cai
  4. Lingjuan Lyu
  5. Xiangxiang Chu
  6. Chuhan Wu
  7. Yang Liu
  8. Xuanyi Dong
  9. Jiahui Yu
  10. Quoc V. Le

Papers from Ligeng Zhu's perspective

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

Their papers