Hao Tian

Artificial Intelligence · with Wang · 2016–2023

A researcher in the Science corpus: 10 papers; trusts 251 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Tian trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Jimmy Ba
  9. Alec Radford
  10. Richard Socher

Who trusts Hao Tian overall

  1. Jianfeng Gao
  2. Hua Wu
  3. Haifeng Wang
  4. Ron Zhu
  5. Minlie Huang
  6. Erik Cambria
  7. Wayne Xin Zhao
  8. Zhe Gan
  9. Ji-rong Wen

Papers from Hao Tian's perspective

Ordered by how strongly the researchers Hao Tian 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers