Jieming Mao

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jieming Mao trusts overall

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

  1. Cynthia Dwork
  2. John C. Duchi
  3. Jayadev Acharya
  4. Adam D. Smith
  5. Frank McSherry
  6. Clément Louis Canonne
  7. Kobbi Nissim
  8. Raef Bassily
  9. Ú. Erlingsson
  10. Jonathan Ullman

Who trusts Jieming Mao overall

  1. Albert Cheu
  2. Jayadev Acharya
  3. Victor Balcer
  4. Borja Balle
  5. Matthew Joseph

Papers from Jieming Mao's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  7. Randomized response: a survey technique for eliminating evasive answer bias.
  8. Learning Multiple Layers of Features from Tiny Images
  9. What Can We Learn Privately?
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers