Chaoping Xing

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoping Xing trusts overall

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

  1. Marcel Keller
  2. Ivan Bjerre Damgård
  3. Valerio Pastro
  4. Payman Mohassel
  5. Tat-seng Chua
  6. Yang Liu
  7. Daniel Demmler
  8. Valerie Chen
  9. Ran Canetti
  10. Gilad Asharov

Who trusts Chaoping Xing overall

  1. Yang Liu
  2. Gary L. Mullen
  3. Juscelino Bezerra
  4. Xuefei Yin
  5. Daniel Panario
  6. Dinh C. Nguyen

Papers from Chaoping Xing's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Multiparty Computation from Somewhat Homomorphic Encryption

Their papers