Mingliang Wang

Artificial Intelligence · with Fu · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mingliang Wang trusts

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

  1. Steffen Rendle (in Information Systems)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)
  4. Christian Szegedy (in Artificial Intelligence)
  5. Sergey Ioffe (in Artificial Intelligence)

Who trusts Mingliang Wang

  1. Justin Engelmann (in Artificial Intelligence)
  2. Stefan Lessmann (in Artificial Intelligence)

Papers from Mingliang Wang's perspective

Ordered by how strongly the researchers Mingliang Wang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Factorization Machines
  5. Residual Networks Behave Like Ensembles of Relatively Shallow Networks
  6. Factorization Machines with libFM
  7. Learning Polynomials with Neural Networks
  8. Simple and Scalable Response Prediction for Display Advertising
  9. Field-aware Factorization Machines for CTR Prediction (ACM Conference on Recommender Systems)
  10. Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features

Their papers