Langchun Si

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Langchun Si trusts overall

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

  1. Seyedali Mirjalili
  2. Kalyanmoy Deb
  3. Michael T. M. Emmerich
  4. Seyed Mohammad Mirjalili
  5. Ran Cheng
  6. Clara Pizzuti
  7. Yaochu Jin
  8. R. Eberhart
  9. Nikolaus Hansen
  10. Xin Yao

Papers from Langchun Si's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. A fast and elitist multiobjective genetic algorithm: NSGA-II
  3. Extracting and composing robust features with denoising autoencoders
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. A Stochastic Approximation Method
  7. Gradient-based learning applied to document recognition
  8. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers