Tong He

Computational Theory and Mathematics · with Ban · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tong He trusts overall

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

  1. Jerome H. Friedman
  2. Nicolai Meinshausen
  3. Yoshihiro Yamanishi
  4. Kevin Bleakley
  5. Laurent Jacob
  6. Tianqi Chen
  7. Yehuda Koren
  8. T. van Laarhoven
  9. Jing Tang
  10. Yong Liu

Who trusts Tong He overall

  1. Stefan Naulaerts
  2. Michael P. Menden

Papers from Tong He's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Prediction of drug–target interaction networks from the integration of chemical and genomic spaces (Intelligent Systems in Molecular Biology)
  3. Gaussian interaction profile kernels for predicting drug-target interaction (Bioinform.)
  4. ImageNet classification with deep convolutional neural networks
  5. Supervised prediction of drug–target interactions using bipartite local models (Bioinform.)
  6. Drug Target Identification Using Side-Effect Similarity
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. XGBoost: A Scalable Tree Boosting System
  10. Matrix Factorization Techniques for Recommender Systems

Their papers