Jiancan Wu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiancan Wu trusts overall

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

  1. Xiangnan He
  2. Xiang Wang
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Kaiming He
  8. Jacob Devlin
  9. Kaveh Hassani
  10. Yonglong Tian

Who trusts Jiancan Wu overall

  1. Junliang Yu
  2. Chen Gao
  3. Chao Huang
  4. Hongzhi Yin
  5. Lianghao Xia
  6. Xubin Ren
  7. Xuheng Cai
  8. Ruihong Qiu
  9. Zihan Lin
  10. Yuhao Yang

Papers from Jiancan Wu's perspective

Ordered by how strongly the researchers Jiancan Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers