Jun-Ming Xu

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jun-Ming Xu trusts overall

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

  1. Chih-Jen Lin
  2. T. Griffiths
  3. Bo Pang
  4. Mark W. Schmidt
  5. Jaana Juvonen
  6. Mark A. Hall
  7. Lillian Lee
  8. Mark Steyvers
  9. glenn. fung

Who trusts Jun-Ming Xu overall

  1. Mladen Karan
  2. Shervin Malmasi
  3. Marcos Zampieri
  4. Anna Schmidt
  5. Jan Snajder
  6. Sara Rosenthal
  7. Niloofar Safi Samghabadi
  8. Cynthia Van Hee
  9. Michael Wiegand
  10. Pepa Atanasova

Papers from Jun-Ming Xu's perspective

Ordered by how strongly the researchers Jun-Ming Xu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. LIBSVM: A library for support vector machines
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers