Raymond Cheng

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Raymond Cheng trusts overall

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

  1. Cynthia Dwork
  2. Ran Canetti
  3. Paul Feldman
  4. Muthu Dayalan
  5. Berry Schoenmakers
  6. Brett D. Fleisch
  7. A. Tanenbaum
  8. Fan Zhang
  9. Ittai Anati
  10. Florian Tramèr

Who trusts Raymond Cheng overall

  1. Florian Tramèr
  2. Gabriel Kaptchuk
  3. Joseph E. Gonzalez
  4. Dan Boneh
  5. Harry A. Kalodner
  6. Benedikt Bünz
  7. Hanieh Hashemi
  8. Derek Gordon Murray
  9. Muhammad Shayan
  10. Reynold Xin

Papers from Raymond Cheng's perspective

Ordered by how strongly the researchers Raymond Cheng 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Innovative instructions and software model for isolated execution
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Innovative Technology for CPU Based Attestation and Sealing

Their papers