Quan Geng

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 8 papers; trusts 75 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Quan Geng trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Kobbi Nissim
  4. Kamalika Chaudhuri
  5. Pramod Viswanath
  6. Adam D. Smith
  7. Kunal Talwar
  8. Moritz Hardt
  9. Arpita Ghosh
  10. E.J. Candes

Who trusts Quan Geng overall

  1. Jordan Awan
  2. Pramod Viswanath
  3. Peter Kairouz
  4. Wei Ding
  5. Aleksandra B. Slavkovic
  6. Sewoong Oh
  7. Alekh Agarwal
  8. Zeyuan Allen-Zhu
  9. Ruiqi Guo
  10. Abhishek Bhowmick

Papers from Quan Geng's perspective

Ordered by how strongly the researchers Quan Geng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers