Hui Bu

Artificial Intelligence · with Wu · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Bu trusts overall

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

  1. Daniel Povey
  2. Vijayaditya Peddinti
  3. Geoffrey E. Hinton
  4. Pegah Ghahremani
  5. Sanjeev Khudanpur
  6. Alex Graves
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Aäron van den Oord

Who trusts Hui Bu overall

  1. Zhaoyu Liu
  2. Zhihao Du
  3. Chandan K. A. Reddy
  4. Brian Kan-Wing Mak
  5. Shiliang Zhang
  6. Nanxin Chen
  7. Haoneng Luo
  8. Emiru Tsunoo
  9. Jiayu Du
  10. Xu Tan

Papers from Hui Bu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers