Jian Li

Molecular Biology · with Akutsu · 2019–2020

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 Jian Li trusts

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

  1. Morten Nielsen (in Molecular Biology)
  2. Kuo-Chen Chou (in Molecular Biology)
  3. Ole Lund (in Molecular Biology)

Papers from Jian Li's perspective

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

  1. Long Short-Term Memory
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Human-level control through deep reinforcement learning
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  9. NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence
  10. Amino acid substitution matrices from protein blocks.

Their papers