Jingbo Zhou

Computational Chemistry & Drug Discovery · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingbo Zhou trusts

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

  1. Jimmy Ba (in Artificial Intelligence)
  2. David Weininger (in Computational Chemistry & Drug Discovery)
  3. Andrew P. Bradley (in Evaluation & Benchmarks)

Papers from Jingbo Zhou's perspective

Ordered by how strongly the researchers Jingbo Zhou 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Layer Normalization
  6. Recurrent Neural Network Regularization
  7. Unsupervised Representation Learning by Predicting Image Rotations
  8. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  9. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  10. ImageNet classification with deep convolutional neural networks

Their papers