Peize Lin

Materials Chemistry · 2019

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

Subfields

Whom Peize Lin trusts

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

  1. J. Behler (in Materials Chemistry)

Papers from Peize Lin's perspective

Ordered by how strongly the researchers Peize Lin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. A unified architecture for natural language processing: deep neural networks with multitask learning
  4. Large-Scale Video Classification with Convolutional Neural Networks
  5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  6. Geometric Deep Learning: Going beyond Euclidean data
  7. Quantum-chemical insights from deep tensor neural networks
  8. Addendum: Regularization and variable selection via the elastic net
  9. Self-Consistent Equations Including Exchange and Correlation Effects
  10. Quantum chemistry structures and properties of 134 kilo molecules

Their papers