Bing Jiang

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Jiang trusts overall

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

  1. Patrick Kenny
  2. Najim Dehak
  3. Yun Lei
  4. Florin Curelaru

Who trusts Bing Jiang overall

  1. Detai Xin

Papers from Bing Jiang's perspective

Ordered by how strongly the researchers Bing Jiang 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. Long Short-Term Memory
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. The Kaldi Speech Recognition Toolkit
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. How transferable are features in deep neural networks?
  10. Front-End Factor Analysis for Speaker Verification

Their papers