Chao Wang

Artificial Intelligence · with Jin · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Wang trusts overall

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

  1. Kalyanmoy Deb
  2. Eckart Zitzler
  3. Qingfu Zhang
  4. Yaochu Jin
  5. Ran Cheng
  6. Xing-yi Zhang
  7. Robert Tibshirani
  8. Lothar Thiele
  9. Ziyun Wang
  10. Ye Tian

Papers from Chao Wang's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Simulated Binary Crossover for Continuous Search Space
  3. Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
  4. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  5. Regression Shrinkage and Selection via the Lasso
  6. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
  7. ImageNet classification with deep convolutional neural networks
  8. A faster algorithm for calculating hypervolume (IEEE Transactions on Evolutionary Computation)
  9. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
  10. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)

Their papers