Lianghui Zhu

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lianghui Zhu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Hugo Touvron
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Yann LeCun
  9. Ross B. Girshick
  10. Quoc V. Le

Who trusts Lianghui Zhu overall

  1. Weihao Yu
  2. Yunjie Tian
  3. Chien-Yao Wang
  4. Jiacheng Ruan
  5. Pat Verga
  6. Yapeng Li
  7. Zhaohu Xing
  8. Chenxin Li
  9. Keyan Chen
  10. Sijie Zhao

Papers from Lianghui Zhu's perspective

Ordered by how strongly the researchers Lianghui Zhu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers